Lucas, R.M.,
Lee, A.C.,
Williams, M.L.,
Enhanced Simulation of Radar Backscatter From Forests Using LiDAR and
Optical Data,
GeoRS(44), No. 10, October 2006, pp. 2736-2754.
IEEE DOI
0609
BibRef
Chasmer, L.[Laura],
Hopkinson, C.[Chris],
Smith, B.[Brent],
Treitz, P.[Paul],
Examining the Influence of Changing Laser Pulse Repetition Frequencies
on Conifer Forest Canopy Returns,
PhEngRS(72), No. 12, December 2006, pp. 1359-1368.
WWW Link.
0704
The characteristics associated with differing laser pulse emission frequencies
are found to vary the penetration of pulses within conifer forest canopies.
BibRef
Hinsley, S.A.[Shelley A.],
Hill, R.A.[Ross A.],
Bellamy, P.E.,
Balzter, H.[Heiko],
The Application of Lidar in Woodland Bird Ecology:
Climate, Canopy Structure, and Habitat Quality,
PhEngRS(72), No. 12, December 2006, pp. 1399-1406.
WWW Link.
0704
Measuring woodland vegetation structure and the relationship of climate
in determining habitat quality for breeding birds.
BibRef
Hill, R.A.[Ross A.],
Hinsley, S.A.[Shelley A.],
Airborne Lidar for Woodland Habitat Quality Monitoring: Exploring the
Significance of Lidar Data Characteristics when Modelling
Organism-Habitat Relationships,
RS(7), No. 4, 2015, pp. 3446-3466.
DOI Link
1505
BibRef
Evans, J.S.[Jeffrey S.],
Hudak, A.T.[Andrew T.],
A Multiscale Curvature Algorithm for Classifying Discrete Return LiDAR
in Forested Environments,
GeoRS(45), No. 4, April 2007, pp. 1029-1038.
IEEE DOI
0704
BibRef
Hudak, A.T.,
Evans, J.S.,
Stuart Smith, A.,
LiDAR Utility for Natural Resource Managers,
RS(1), No. 4, December 2009, pp. 934-951.
DOI Link
1203
BibRef
Dalponte, M.,
Bruzzone, L.[Lorenzo],
Gianelle, D.,
Fusion of Hyperspectral and LIDAR Remote Sensing Data for
Classification of Complex Forest Areas,
GeoRS(46), No. 5, May 2008, pp. 1416-1427.
IEEE DOI
0804
See also System for the Estimation of Single-Tree Stem Diameter and Volume Using Multireturn LIDAR Data, A.
BibRef
Wang, C.,
Menenti, M.,
Stoll, M.P.,
Feola, A.,
Belluco, E.,
Marani, M.,
Separation of Ground and Low Vegetation Signatures in LiDAR
Measurements of Salt-Marsh Environments,
GeoRS(47), No. 7, July 2009, pp. 2014-2023.
IEEE DOI
0906
BibRef
Disney, M.I.,
Lewis, P.E.,
Bouvet, M.,
Prieto-Blanco, A.,
Hancock, S.,
Quantifying Surface Reflectivity for Spaceborne Lidar via Two
Independent Methods,
GeoRS(47), No. 9, September 2009, pp. 3262-3271.
IEEE DOI
0909
BibRef
Hancock, S.[Steven],
Disney, M.I.[Mathias I.],
Lewis, P.E.[Philip E.],
Muller, J.P.[Jan-Peter],
Exploring the Measurement Of Forests With Full Waveform LIDAR through
Monte-Carlo Ray Tracing,
ISPRS08(B1: 235 ff).
PDF File.
0807
BibRef
Korpela, I.[Ilkka],
Orka, H.O.[Hans Ole],
Hyyppa, J.[Juha],
Heikkinen, V.[Ville],
Tokola, T.[Timo],
Range and AGC normalization in airborne discrete-return LiDAR intensity
data for forest canopies,
PandRS(65), No. 4, July 2010, pp. 369-379.
Elsevier DOI
1003
Vegetation; Forestry; Radiometry; Laser scanning; Classification
BibRef
Krooks, A.,
Krooks, A.[Anssi],
Hyyppä, J.[Juha],
Lyytikäinen-Saarenmaa, P.[Päivi],
Jaakkola, A.[Anttoni],
Kaasalainen, S.[Sanna],
Using Stationary And Mobile Laser Scanner To Detect Forest Defoliation,
CloseRange10(xx-yy).
PDF File.
1006
BibRef
Ahokas, E.,
Hyyppä, J.,
Yu, X.W.[Xiao-Wei],
Holopainen, M.,
Transmittance of Airborne Laser Scanning Pulses for Boreal Forest
Elevation Modeling,
RS(3), No. 7, July 2011, pp. 1365-1379.
DOI Link
1203
BibRef
Hyyppä, J.,
Holopainen, M.,
Olsson, H.,
Laser Scanning in Forests,
RS(4), No. 10, October 2012, pp. 2919-2922.
DOI Link
1210
BibRef
Yu, X.W.[Xiao-Wei],
Hyyppä, H.,
Kaartinen, H.,
Hyyppä, J.,
Ahokas, E.,
Kaasalainen, S.,
Applicability of first pulse derived digital terrain models for boreal
forest zone,
Laser05(xx-yy).
PDF File.
0509
BibRef
Vehmas, M.,
Eerikäinen, K.,
Peuhkurinen, J.,
Packalén, P.,
Maltamo, M.,
Airborne Laser Scanning for the Site Type Identification of Mature
Boreal Forest Stands,
RS(3), No. 1, January 2011, pp. 100-116.
DOI Link
1203
BibRef
Bater, C.W.,
Wulder, M.A.,
Coops, N.C.,
Nelson, R.F.,
Hilker, T.,
Naesset, E.,
Stability of Sample-Based Scanning-LiDAR-Derived Vegetation Metrics for
Forest Monitoring,
GeoRS(49), No. 6, June 2011, pp. 2385-2392.
IEEE DOI
1106
BibRef
Goodwin, N.R.,
Coops, N.C.,
Bater, C.W.,
Gergel, S.E.,
Assessment of Sub-Canopy Structure in a Complex Coniferous Forest,
Laser07(169).
PDF File.
0709
BibRef
Bater, C.W.,
Coops, N.C.,
Gergel, S.E.,
Goodwin, N.R.,
Towards the Estimation of Tree Structural Class in Northwest Coastal
Forests Using Lidar Remote Sensing,
Laser07(38).
PDF File.
0709
BibRef
Liu, P.W.[Pang-Wei],
Lee, H.[Heezin],
Judge, J.[Jasmeet],
Wright, W.C.[William C.],
Slatton, K.C.[K. Clint],
Prediction of L-band signal attenuation in forests using 3D vegetation
structure from airborne LiDAR,
PandRS(66), No. 5, September 2011, pp. 642-651.
Elsevier DOI
1110
Airborne LiDAR; Microwave attenuation; Remote sensing; GPS; 3D
vegetation structure
BibRef
Wallace, A.M.,
Nichol, C.J.,
Woodhouse, I.,
Recovery of Forest Canopy Parameters by Inversion of Multispectral
LiDAR Data,
RS(4), No. 2, February 2012, pp. 509-531.
DOI Link
1203
BibRef
Tuominen, S.,
Haapanen, R.,
Comparison of Grid-Based and Segment-Based Estimation of Forest
Attributes Using Airborne Laser Scanning and Digital Aerial Imagery,
RS(3), No. 5, May 2011, pp. 945-961.
DOI Link
1203
BibRef
Eysn, L.,
Hollaus, M.,
Schadauer, K.,
Pfeifer, N.,
Forest Delineation Based on Airborne LIDAR Data,
RS(4), No. 3, March 2012, pp. 2012, 43, 762-783;.
DOI Link
1204
BibRef
Wallace, L.,
Lucieer, A.,
Watson, C.,
Turner, D.,
Development of a UAV-LiDAR System with Application to Forest Inventory,
RS(4), No. 6, June 2012, pp. 1519-1543.
DOI Link
1208
BibRef
Fricker, G.,
Saatchi, S.,
Meyer, V.,
Gillespie, T.,
Sheng, Y.,
Application of Semi-Automated Filter to Improve Waveform Lidar
Sub-Canopy Elevation Model,
RS(4), No. 6, June 2012, pp. 1494-1518.
DOI Link
1208
BibRef
Leutner, B.,
Reineking, B.,
Müller, J.,
Bachmann, M.,
Beierkuhnlein, C.[Carl],
Dech, S.,
Wegmann, M.,
Modelling Forest alpha-Diversity and Floristic Composition: On the Added
Value of LiDAR plus Hyperspectral Remote Sensing,
RS(4), No. 9, September 2012, pp. 2818-2845.
DOI Link
1210
BibRef
Defibaugh y Chávez, J.,
Tullis, J.,
Deciduous Forest Structure Estimated with LIDAR-Optimized Spectral
Remote Sensing,
RS(5), No. 1, January 2013, pp. 155-182.
DOI Link
1302
BibRef
Hellesen, T.,
Matikainen, L.,
An Object-Based Approach for Mapping Shrub and Tree Cover on Grassland
Habitats by Use of LiDAR and CIR Orthoimages,
RS(5), No. 2, February 2013, pp. 558-583.
DOI Link
1303
BibRef
Bremer, M.,
Rutzinger, M.,
Wichmann, V.,
Derivation of tree skeletons and error assessment using LiDAR point
cloud data of varying quality,
PandRS(80), No. 1, June 2013, pp. 39-50.
Elsevier DOI
1305
Laser scanning; Branch extraction; Skeletonization; Eigenvectors; Data
reduction; Object-based point cloud analysis
BibRef
Whitehurst, A.,
Swatantran, A.,
Blair, J.B.,
Hofton, M.,
Dubayah, R.,
Characterization of Canopy Layering in Forested Ecosystems Using Full
Waveform Lidar,
RS(5), No. 4, April 2013, pp. 2014-2036.
DOI Link
1305
BibRef
Leiterer, R.[Reik],
Mücke, W.[Werner],
Hollaus, M.[Markus],
Pfeifer, N.[Norbert],
Schaepman, M.E.[Michael E.],
Operational forest structure monitoring using airborne laser scanning,
PFG(2013), No. 3, 2013, pp. 173-184.
DOI Link
1306
BibRef
Hosoi, F.[Fumiki],
Nakai, Y.[Yohei],
Omasa, K.[Kenji],
3-D voxel-based solid modeling of a broad-leaved tree for accurate
volume estimation using portable scanning lidar,
PandRS(82), No. 1, August 2013, pp. 41-48.
Elsevier DOI
1306
Portable ground-based scanning lidar; Solid model; Voxel;
Woody material volume
BibRef
Korpela, I.[Ilkka],
Hovi, A.[Aarne],
Korhonen, L.[Lauri],
Backscattering of Individual LIDAR Pulses from Forest Canopies
Explained by Photogrammetrically Derived Vegetation Structure,
PandRS(83), No. 1, 2013, pp. 81-93.
Elsevier DOI
1307
BibRef
Earlier:
Hannover13(171-176).
DOI Link
1308
Close-range photogrammetry
BibRef
Hovi, A.,
Korpela, I.,
Real and Simulated Waveform Recording LIDAR Data in Boreal Juvenile
Forest Vegetation,
Hannover13(145-150).
DOI Link
1308
BibRef
Nurminen, K.[Kimmo],
Karjalainen, M.[Mika],
Yu, X.W.[Xiao-Wei],
Hyyppä, J.[Juha],
Honkavaara, E.[Eija],
Performance of dense digital surface models based on image matching
in the estimation of plot-level forest variables,
PandRS(83), No. 1, 2013, pp. 104-115.
Elsevier DOI
1308
Image matching
BibRef
Maguya, A.S.[Almasi S.],
Junttila, V.[Virpi],
Kauranne, T.[Tuomo],
Adaptive algorithm for large scale DTM interpolation from lidar data
for forestry applications in steep forested terrain,
PandRS(85), No. 1, 2013, pp. 74-83.
Elsevier DOI
1310
LiDAR processing
BibRef
Pope, G.[Graham],
Treitz, P.[Paul],
Leaf Area Index (LAI) Estimation in Boreal Mixedwood Forest of
Ontario, Canada Using Light Detection and Ranging (LiDAR) and
WorldView-2 Imagery,
RS(5), No. 10, 2013, pp. 5040-5063.
DOI Link
1311
BibRef
Wang, Q.A.[Qi-Ang],
Pang, Y.[Yong],
Li, Z.Y.[Zeng-Yuan],
Chen, E.[Erxue],
Sun, G.Q.[Guo-Qing],
Tan, B.X.[Bing-Xiang],
Improvement and Application of the Conifer Forest Multiangular Hybrid
GORT Model MGeoSAIL,
GeoRS(51), No. 10, 2013, pp. 5047-5059.
IEEE DOI
1311
radiative transfer
BibRef
Ediriweera, S.[Sisira],
Pathirana, S.[Sumith],
Danaher, T.[Tim],
Nichols, D.[Doland],
Moffiet, T.[Trevor],
Evaluation of Different Topographic Corrections for Landsat TM Data
by Prediction of Foliage Projective Cover (FPC) in Topographically
Complex Landscapes,
RS(5), No. 12, 2013, pp. 6767-6789.
DOI Link
1402
BibRef
Earlier:
Impact Of Different Topographic Corrections On Prediction Accuracy Of
Foliage Projective Cover (FPC) in a Topographically Complex Terrain,
AnnalsPRS(I-7), No. 2012, pp. 123-128.
DOI Link
1209
BibRef
Wallace, A.M.,
McCarthy, A.,
Nichol, C.J.,
Ren, X.,
Morak, S.,
Martinez-Ramirez, D.,
Woodhouse, I.H.,
Buller, G.S.,
Design and Evaluation of Multispectral LiDAR for the Recovery of
Arboreal Parameters,
GeoRS(52), No. 8, August 2014, pp. 4942-4954.
IEEE DOI
1403
Instruments
BibRef
Torabzadeh, H.[Hossein],
Morsdorf, F.[Felix],
Schaepman, M.E.[Michael E.],
Fusion of imaging spectroscopy and airborne laser scanning data for
characterization of forest ecosystems: A review,
PandRS(97), No. 1, 2014, pp. 25-35.
Elsevier DOI
1410
Forest ecosystems
BibRef
Räsänen, A.[Aleksi],
Kuitunen, M.[Markku],
Tomppo, E.[Erkki],
Lensu, A.[Anssi],
Coupling high-resolution satellite imagery with ALS-based canopy
height model and digital elevation model in object-based boreal
forest habitat type classification,
PandRS(94), No. 1, 2014, pp. 169-182.
Elsevier DOI
1407
Habitat type mapping
BibRef
Valbuena, R.[Rubén],
Vauhkonen, J.[Jari],
Packalen, P.[Petteri],
Pitkänen, J.H.[Ju-Ho],
Maltamo, M.[Matti],
Comparison of airborne laser scanning methods for estimating forest
structure indicators based on Lorenz curves,
PandRS(95), No. 1, 2014, pp. 23-33.
Elsevier DOI
1408
Forest structure
BibRef
Parent, J.R.[Jason R.],
Volin, J.C.[John C.],
Assessing the potential for leaf-off LiDAR data to model canopy
closure in temperate deciduous forests,
PandRS(95), No. 1, 2014, pp. 134-145.
Elsevier DOI
1408
LiDAR
BibRef
Vauhkonen, J.[Jari],
Næsset, E.[Erik],
Gobakken, T.[Terje],
Deriving airborne laser scanning based computational canopy volume
for forest biomass and allometry studies,
PandRS(96), No. 1, 2014, pp. 57-66.
Elsevier DOI
1410
Light Detection and Ranging (LiDAR)
BibRef
Ene, L.,
Naesset, E.,
Gobakken, T.,
Simulating Sampling Efficiency in Airborne Laser Scanning Based Forest
Inventory,
Laser07(114).
PDF File.
0709
BibRef
Wallace, L.O.,
Lucieer, A.,
Watson, C.S.,
Evaluating Tree Detection and Segmentation Routines on Very High
Resolution UAV LiDAR Data,
GeoRS(52), No. 12, December 2014, pp. 7619-7628.
IEEE DOI
1410
BibRef
Earlier:
Assessing the Feasibility of UAV-Based LIDAR for High Resolution Forest
Change Detection,
ISPRS12(XXXIX-B7:499-504).
DOI Link
1209
BibRef
Paris, C.,
Bruzzone, L.,
A Three-Dimensional Model-Based Approach to the Estimation of the
Tree Top Height by Fusing Low-Density LiDAR Data and Very High
Resolution Optical Images,
GeoRS(53), No. 1, January 2015, pp. 467-480.
IEEE DOI
1410
geophysical techniques
BibRef
Peng, S.Z.[Shou-Zhang],
Zhao, C.Y.[Chuan-Yan],
Xu, Z.L.[Zhong-Lin],
Modeling spatiotemporal patterns of understory light intensity using
airborne laser scanner (LiDAR),
PandRS(97), No. 1, 2014, pp. 195-203.
Elsevier DOI
1410
LiDAR
BibRef
Peterson, B.[Birgit],
Nelson, K.J.[Kurtis J.],
Mapping Forest Height in Alaska Using GLAS, Landsat Composites, and
Airborne LiDAR,
RS(6), No. 12, 2014, pp. 12409-12426.
DOI Link
1412
BibRef
Fayad, I.[Ibrahim],
Baghdadi, N.[Nicolas],
Bailly, J.S.[Jean-Stéphane],
Barbier, N.[Nicolas],
Gond, V.[Valéry],
Hérault, B.[Bruno],
El Hajj, M.[Mahmoud],
Fabre, F.[Frédéric],
Perrin, J.[José],
Regional Scale Rain-Forest Height Mapping Using Regression-Kriging of
Spaceborne and Airborne LiDAR Data: Application on French Guiana,
RS(8), No. 3, 2016, pp. 240.
DOI Link
1604
BibRef
Ryding, J.[Joseph],
Williams, E.[Emily],
Smith, M.J.[Martin J.],
Eichhorn, M.P.[Markus P.],
Assessing Handheld Mobile Laser Scanners for Forest Surveys,
RS(7), No. 1, 2015, pp. 1095-1111.
DOI Link
1502
BibRef
Ma, H.[Han],
Song, J.L.[Jin-Ling],
Wang, J.D.[Jin-Di],
Forest Canopy LAI and Vertical FAVD Profile Inversion from Airborne
Full-Waveform LiDAR Data Based on a Radiative Transfer Model,
RS(7), No. 2, 2015, pp. 1897-1914.
DOI Link
1503
BibRef
Parent, J.R.[Jason R.],
Volin, J.C.[John C.],
Civco, D.L.[Daniel L.],
A fully-automated approach to land cover mapping with airborne LiDAR
and high resolution multispectral imagery in a forested suburban
landscape,
PandRS(104), No. 1, 2015, pp. 18-29.
Elsevier DOI
1505
Land cover
BibRef
Lindberg, E.[Eva],
Roberge, J.M.[Jean-Michel],
Johansson, T.[Therese],
Hjältén, J.[Joakim],
Can Airborne Laser Scanning (ALS) and Forest Estimates Derived from
Satellite Images Be Used to Predict Abundance and Species Richness of
Birds and Beetles in Boreal Forest?,
RS(7), No. 4, 2015, pp. 4233-4252.
DOI Link
1505
BibRef
Shang, X.X.[Xiao-Xia],
Chazette, P.[Patrick],
End-to-End Simulation for a Forest-Dedicated Full-Waveform Lidar
Onboard a Satellite Initialized from Airborne Ultraviolet Lidar
Experiments,
RS(7), No. 5, 2015, pp. 5222-5255.
DOI Link
1506
BibRef
Montealegre, A.L.[Antonio Luis],
Lamelas, M.T.[María Teresa],
de la Riva, J.[Juan],
Interpolation Routines Assessment in ALS-Derived Digital Elevation
Models for Forestry Applications,
RS(7), No. 7, 2015, pp. 8631.
DOI Link
1506
BibRef
Gökkaya, K.[Kemal],
Thomas, V.A.[Valerie A.],
Noland, T.L.[Thomas L.],
McCaughey, H.[Harry],
Morrison, I.[Ian],
Treitz, P.[Paul],
Prediction of Macronutrients at the Canopy Level Using Spaceborne
Imaging Spectroscopy and LiDAR Data in a Mixedwood Boreal Forest,
RS(7), No. 7, 2015, pp. 9045.
DOI Link
1506
BibRef
Junttila, V.,
Kauranne, T.,
Finley, A.O.,
Bradford, J.B.,
Linear Models for Airborne-Laser-Scanning-Based Operational Forest
Inventory With Small Field Sample Size and Highly Correlated LiDAR
Data,
GeoRS(53), No. 10, October 2015, pp. 5600-5612.
IEEE DOI
1509
remote sensing by laser beam
BibRef
Yang, H.Q.[Hai-Quan],
Chen, W.L.[Wen-Long],
Qian, T.[Tianlu],
Shen, D.[Dingtao],
Wang, J.C.[Jie-Chen],
The Extraction of Vegetation Points from LiDAR Using 3D Fractal
Dimension Analyses,
RS(7), No. 8, 2015, pp. 10815.
DOI Link
1509
BibRef
Junttila, S.[Samuli],
Kaasalainen, S.[Sanna],
Vastaranta, M.[Mikko],
Hakala, T.[Teemu],
Nevalainen, O.[Olli],
Holopainen, M.[Markus],
Investigating Bi-Temporal Hyperspectral Lidar Measurements from
Declined Trees: Experiences from Laboratory Test,
RS(7), No. 10, 2015, pp. 13863.
DOI Link
1511
BibRef
Bonnet, S.[Stéphanie],
Gaulton, R.[Rachel],
Lehaire, F.[François],
Lejeune, P.[Philippe],
Canopy Gap Mapping from Airborne Laser Scanning:
An Assessment of the Positional and Geometrical Accuracy,
RS(7), No. 9, 2015, pp. 11267.
DOI Link
1511
BibRef
Dupuis, J.[Jan],
Paulus, S.[Stefan],
Mahlein, A.K.[Anne-Katrin],
Kuhlmann,
Eichert, T.[Thomas],
The Impact of different Leaf Surface Tissues on active 3D Laser
Triangulation Measurements,
PFG(2015), No. 6, 2015, pp. 437-447.
DOI Link
1601
BibRef
Zhao, X.Q.[Xiao-Qian],
Guo, Q.H.[Qing-Hua],
Su, Y.J.[Yan-Jun],
Xue, B.L.[Bao-Lin],
Improved progressive TIN densification filtering algorithm for
airborne LiDAR data in forested areas,
PandRS(117), No. 1, 2016, pp. 79-91.
Elsevier DOI
1605
Light detection and ranging
BibRef
Niemi, M.T.[Mikko T.],
Vauhkonen, J.[Jari],
Extracting Canopy Surface Texture from Airborne Laser Scanning Data
for the Supervised and Unsupervised Prediction of Area-Based Forest
Characteristics,
RS(8), No. 7, 2016, pp. 582.
DOI Link
1608
BibRef
Oshio, H.,
Asawa, T.,
Estimating the Solar Transmittance of Urban Trees Using Airborne
LiDAR and Radiative Transfer Simulation,
GeoRS(54), No. 9, September 2016, pp. 5483-5492.
IEEE DOI
1609
airborne radar
BibRef
You, H.T.[Hao-Tian],
Wang, T.J.[Tie-Jun],
Skidmore, A.K.[Andrew K.],
Xing, Y.Q.[Yan-Qiu],
Quantifying the Effects of Normalisation of Airborne LiDAR Intensity
on Coniferous Forest Leaf Area Index Estimations,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link
1703
BibRef
Dechesne, C.[Clément],
Mallet, C.[Clément],
Le Bris, A.[Arnaud],
Gouet-Brunet, V.[Valérie],
Semantic segmentation of forest stands of pure species combining
airborne lidar data and very high resolution multispectral imagery,
PandRS(126), No. 1, 2017, pp. 129-145.
Elsevier DOI
1704
Lidar
BibRef
Dechesne, C.[Clément],
Mallet, C.[Clément],
Le Bris, A.[Arnaud],
Gouet, V.[Valérie],
Hervieu, A.[Alexandre],
Forest Stand Segmentation Using Airborne Lidar Data And Very High
Resolution Multispectral Imagery,
ISPRS16(B3: 207-214).
DOI Link
1610
BibRef
Awaya, Y.[Yoshio],
Takahashi, T.[Tomoaki],
Evaluating the Differences in Modeling Biophysical Attributes between
Deciduous Broadleaved and Evergreen Conifer Forests Using Low-Density
Small-Footprint LiDAR Data,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link
1706
BibRef
Jaakkola, A.[Anttoni],
Hyyppä, J.[Juha],
Yu, X.W.[Xiao-Wei],
Kukko, A.[Antero],
Kaartinen, H.[Harri],
Liang, X.L.[Xin-Lian],
Hyyppä, H.[Hannu],
Wang, Y.S.[Yun-Sheng],
Autonomous Collection of Forest Field Reference:
The Outlook and a First Step with UAV Laser Scanning,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Hyyppä, E.[Eric],
Hyyppä, J.[Juha],
Hakala, T.[Teemu],
Kukko, A.[Antero],
Wulder, M.A.[Michael A.],
White, J.C.[Joanne C.],
Pyörälä, J.[Jiri],
Yu, X.W.[Xiao-Wei],
Wang, Y.S.[Yun-Sheng],
Virtanen, J.P.[Juho-Pekka],
Pohjavirta, O.[Onni],
Liang, X.[Xinlian],
Holopainen, M.[Markus],
Kaartinen, H.[Harri],
Under-canopy UAV laser scanning for accurate forest field
measurements,
PandRS(164), 2020, pp. 41-60.
Elsevier DOI
2005
Airborne laser scanning, UAV, Under-canopy flight, Stem volume,
Stem curve, SLAM
BibRef
Muhojoki, J.[Jesse],
Tavi, D.[Daniella],
Hyyppä, E.[Eric],
Lehtomäki, M.[Matti],
Faitli, T.[Tamás],
Kaartinen, H.[Harri],
Kukko, A.[Antero],
Hakala, T.[Teemu],
Hyyppä, J.[Juha],
Benchmarking Under- and Above-Canopy Laser Scanning Solutions for
Deriving Stem Curve and Volume in Easy and Difficult Boreal Forest
Conditions,
RS(16), No. 10, 2024, pp. 1721.
DOI Link
2405
BibRef
Hyyppä, E.[Eric],
Yu, X.W.[Xiao-Wei],
Kaartinen, H.[Harri],
Hakala, T.[Teemu],
Kukko, A.[Antero],
Vastaranta, M.[Mikko],
Hyyppä, J.[Juha],
Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy
UAV Laser Scanning for Field Reference Data Collection in Boreal
Forests,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Piiroinen, R.[Rami],
Heiskanen, J.[Janne],
Maeda, E.[Eduardo],
Viinikka, A.[Arto],
Pellikka, P.[Petri],
Classification of Tree Species in a Diverse African Agroforestry
Landscape Using Imaging Spectroscopy and Laser Scanning,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Shi, Y.F.[Yi-Fang],
Wang, T.J.[Tie-Jun],
Skidmore, A.K.[Andrew K.],
Heurich, M.[Marco],
Important LiDAR metrics for discriminating forest tree species in
Central Europe,
PandRS(137), 2018, pp. 163-174.
Elsevier DOI
1802
Tree species, Natural forest, Airborne LiDAR, Morphology,
Leaf-on, Leaf-off
BibRef
Persson, H.J.[Henrik J.],
Olsson, H.[Håkan],
Soja, M.J.[Maciej J.],
Ulander, L.M.H.[Lars M.H.],
Fransson, J.E.S.[Johan E.S.],
Experiences from Large-Scale Forest Mapping of Sweden Using TanDEM-X
Data,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link
1802
BibRef
Liu, J.[Jing],
Skidmore, A.K.[Andrew K.],
Jones, S.[Simon],
Wang, T.J.[Tie-Jun],
Heurich, M.[Marco],
Zhu, X.[Xi],
Shi, Y.F.[Yi-Fang],
Large off-nadir scan angle of airborne LiDAR can severely affect the
estimates of forest structure metrics,
PandRS(136), 2018, pp. 13-25.
Elsevier DOI
1802
Gap fraction, Vertical gap fraction profile,
Off-nadir scan angle, Airborne LiDAR
BibRef
Fedrigo, M.[Melissa],
Newnham, G.J.[Glenn J.],
Coops, N.C.[Nicholas C.],
Culvenor, D.S.[Darius S.],
Bolton, D.K.[Douglas K.],
Nitschke, C.R.[Craig R.],
Predicting temperate forest stand types using only structural
profiles from discrete return airborne lidar,
PandRS(136), 2018, pp. 106-119.
Elsevier DOI
1802
Lidar, Linear unmixing, Principal components, Random forest, Structure
BibRef
Ayrey, E.[Elias],
Hayes, D.J.[Daniel J.],
The Use of Three-Dimensional Convolutional Neural Networks to
Interpret LiDAR for Forest Inventory,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Marinelli, D.,
Paris, C.,
Bruzzone, L.,
A Novel Approach to 3-D Change Detection in Multitemporal LiDAR Data
Acquired in Forest Areas,
GeoRS(56), No. 6, June 2018, pp. 3030-3046.
IEEE DOI
1806
Data models, Distance measurement, Forestry, Laser radar,
Remote sensing, Vegetation,
remote sensing
BibRef
Simonson, W.[William],
Allen, H.[Harriet],
Coomes, D.[David],
Effect of Tree Phenology on LiDAR Measurement of Mediterranean Forest
Structure,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Liu, Y.[Yanan],
Gong, W.S.[Wei-Shu],
Hu, X.Y.[Xiang-Yun],
Gong, J.Y.[Jian-Ya],
Forest Type Identification with Random Forest Using Sentinel-1A,
Sentinel-2A, Multi-Temporal Landsat-8 and DEM Data,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Pearse, G.D.[Grant D.],
Dash, J.P.[Jonathan P.],
Persson, H.J.[Henrik J.],
Watt, M.S.[Michael S.],
Comparison of high-density LiDAR and satellite photogrammetry for
forest inventory,
PandRS(142), 2018, pp. 257-267.
Elsevier DOI
1807
Forest inventory, Stereo, Satellite, Photogrammetry, LiDAR,
Airborne laser scanning, Pléiades, Remote sensing, Radiata pine
BibRef
Liang, X.[Xinlian],
Kukko, A.[Antero],
Hyyppä, J.[Juha],
Lehtomäki, M.[Matti],
Pyörälä, J.[Jiri],
Yu, X.W.[Xiao-Wei],
Kaartinen, H.[Harri],
Jaakkola, A.[Anttoni],
Wang, Y.S.[Yun-Sheng],
In-situ measurements from mobile platforms: An emerging approach to
address the old challenges associated with forest inventories,
PandRS(143), 2018, pp. 97-107.
Elsevier DOI
1808
In-situ, Terrestrial point cloud, Mobile, Wearable,
Mobile laser scanning, Personal laser scanning,
Forest inventories
BibRef
Palma, M.[Marco],
Casado, M.R.[Monica Rivas],
Pantaleo, U.[Ubaldo],
Pavoni, G.[Gaia],
Pica, D.[Daniela],
Cerrano, C.[Carlo],
SfM-Based Method to Assess Gorgonian Forests (Paramuricea clavata
(Cnidaria, Octocorallia)),
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
Key structuring species of the Mediterranean region.
BibRef
Urbazaev, M.[Mikhail],
Cremer, F.[Felix],
Migliavacca, M.[Mirco],
Reichstein, M.[Markus],
Schmullius, C.[Christiane],
Thiel, C.[Christian],
Potential of Multi-Temporal ALOS-2 PALSAR-2 ScanSAR Data for
Vegetation Height Estimation in Tropical Forests of Mexico,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Liu, J.C.[Jin-Cheng],
Feng, Z.K.[Zhong-Ke],
Yang, L.Y.[Li-Yan],
Mannan, A.[Abdul],
Khan, T.U.[Tauheed Ullah],
Zhao, Z.Y.[Zi-Yu],
Cheng, Z.[Zhuxin],
Extraction of Sample Plot Parameters from 3D Point Cloud
Reconstruction Based on Combined RTK and CCD Continuous Photography,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Wästlund, A.[André],
Holmgren, J.[Johan],
Lindberg, E.[Eva],
Olsson, H.[Håkan],
Forest Variable Estimation Using a High Altitude Single Photon Lidar
System,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Fankhauser, K.E.[Kathryn E.],
Strigul, N.S.[Nikolay S.],
Gatziolis, D.[Demetrios],
Augmentation of Traditional Forest Inventory and Airborne Laser
Scanning with Unmanned Aerial Systems and Photogrammetry for Forest
Monitoring,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
BibRef
Mahlangu, P.[Precious],
Mathieu, R.[Renaud],
Wessels, K.[Konrad],
Naidoo, L.[Laven],
Verstraete, M.[Michel],
Asner, G.[Gregory],
Main, R.[Russell],
Indirect Estimation of Structural Parameters in South African Forests
Using MISR-HR and LiDAR Remote Sensing Data,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
BibRef
Piermattei, L.[Livia],
Marty, M.[Mauro],
Karel, W.[Wilfried],
Ressl, C.[Camillo],
Hollaus, M.[Markus],
Ginzler, C.[Christian],
Pfeifer, N.[Norbert],
Impact of the Acquisition Geometry of Very High-Resolution Pléiades
Imagery on the Accuracy of Canopy Height Models over Forested Alpine
Regions,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
BibRef
Liu, K.[Kun],
Shen, X.[Xin],
Cao, L.[Lin],
Wang, G.B.[Gui-Bin],
Cao, F.L.[Fu-Liang],
Estimating forest structural attributes using UAV-LiDAR data in
Ginkgo plantations,
PandRS(146), 2018, pp. 465-482.
Elsevier DOI
1812
LiDAR, UAV, Forest structural attributes, Ginkgo, Planted forest,
Point cloud density
BibRef
de Almeida, D.R.A.[Danilo Roberti Alves],
Stark, S.C.[Scott C.],
Shao, G.[Gang],
Schietti, J.[Juliana],
Nelson, B.W.[Bruce Walker],
Silva, C.A.[Carlos Alberto],
Gorgens, E.B.[Eric Bastos],
Valbuena, R.[Ruben],
de Almeida Papa, D.[Daniel],
Santin Brancalion, P.H.[Pedro Henrique],
Optimizing the Remote Detection of Tropical Rainforest Structure with
Airborne Lidar: Leaf Area Profile Sensitivity to Pulse Density and
Spatial Sampling,
RS(11), No. 1, 2019, pp. xx-yy.
DOI Link
1901
BibRef
Fedrigo, M.[Melissa],
Stewart, S.B.[Stephen B.],
Roxburgh, S.H.[Stephen H.],
Kasel, S.[Sabine],
Bennett, L.T.[Lauren T.],
Vickers, H.[Helen],
Nitschke, C.R.[Craig R.],
Predictive Ecosystem Mapping of South-Eastern Australian Temperate
Forests Using Lidar-Derived Structural Profiles and Species
Distribution Models,
RS(11), No. 1, 2019, pp. xx-yy.
DOI Link
1901
BibRef
Ahl, R.[Robert],
Hogland, J.[John],
Brown, S.[Steve],
A Comparison of Standard Modeling Techniques Using Digital Aerial
Imagery with National Elevation Datasets and Airborne LiDAR to
Predict Size and Density Forest Metrics in the Sapphire Mountains MT,
USA,
IJGI(8), No. 1, 2019, pp. xx-yy.
DOI Link
1901
BibRef
Xie, Z.L.[Zhu-Li],
Chen, Y.L.[Yao-Liang],
Lu, D.S.[Deng-Sheng],
Li, G.Y.[Gui-Ying],
Chen, E.[Erxue],
Classification of Land Cover, Forest, and Tree Species Classes with
ZiYuan-3 Multispectral and Stereo Data,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Bruggisser, M.[Moritz],
Hollaus, M.[Markus],
Wang, D.[Di],
Pfeifer, N.[Norbert],
Adaptive Framework for the Delineation of Homogeneous Forest Areas
Based on LiDAR Points,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Domingo, D.[Darío],
Alonso, R.[Rafael],
Lamelas, M.T.[María Teresa],
Montealegre, A.L.[Antonio Luis],
Rodríguez, F.[Francisco],
de la Riva, J.[Juan],
Temporal Transferability of Pine Forest Attributes Modeling Using
Low-Density Airborne Laser Scanning Data,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Li, J.P.[Jian-Ping],
Yang, B.S.[Bi-Sheng],
Cong, Y.Z.[Yang-Zi],
Cao, L.[Lin],
Fu, X.Y.[Xiao-Yao],
Dong, Z.[Zhen],
3D Forest Mapping Using A Low-Cost UAV Laser Scanning System:
Investigation and Comparison,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Pereira, I.S.[Iokanam Sales],
Mendonça do Nascimento, H.E.[Henrique E.],
Vicari, M.B.[Matheus Boni],
Disney, M.[Mathias],
DeLucia, E.H.[Evan H.],
Domingues, T.[Tomas],
Kruijt, B.[Bart],
Lapola, D.[David],
Meir, P.[Patrick],
Norby, R.J.[Richard J.],
Ometto, J.P.H.B.[Jean P.H.B.],
Quesada, C.A.[Carlos A.],
Rammig, A.[Anja],
Hofhansl, F.[Florian],
Performance of Laser-Based Electronic Devices for Structural Analysis
of Amazonian Terra-Firme Forests,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Ullah, S.[Sami],
Dees, M.[Matthias],
Datta, P.[Pawan],
Adler, P.[Petra],
Schardt, M.[Mathias],
Koch, B.[Barbara],
Potential of Modern Photogrammetry Versus Airborne Laser Scanning for
Estimating Forest Variables in a Mountain Environment,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Chen, B.[Bowei],
Pang, Y.[Yong],
Li, Z.Y.[Zeng-Yuan],
North, P.[Peter],
Rosette, J.[Jacqueline],
Sun, G.Q.[Guo-Qing],
Suárez, J.[Juan],
Bye, I.[Iain],
Lu, H.[Hao],
Potential of Forest Parameter Estimation Using Metrics from Photon
Counting LiDAR Data in Howland Research Forest,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Saukkola, A.[Atte],
Melkas, T.[Timo],
Riekki, K.[Kirsi],
Sirparanta, S.[Sanna],
Peuhkurinen, J.[Jussi],
Holopainen, M.[Markus],
Hyyppä, J.[Juha],
Vastaranta, M.[Mikko],
Predicting Forest Inventory Attributes Using Airborne Laser Scanning,
Aerial Imagery, and Harvester Data,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Carrasco, L.[Luis],
Giam, X.L.[Xing-Li],
Papes, M.[Monica],
Sheldon, K.S.[Kimberly S.],
Metrics of Lidar-Derived 3D Vegetation Structure Reveal Contrasting
Effects of Horizontal and Vertical Forest Heterogeneity on Bird
Species Richness,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Marrs, J.[Julia],
Ni-Meister, W.[Wenge],
Machine Learning Techniques for Tree Species Classification Using
Co-Registered LiDAR and Hyperspectral Data,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Ni-Meister, W.[Wenge],
Albanese, A.[Anthony],
Lingo, F.[Francesca],
Assessing Data Preparation and Machine Learning for Tree Species
Classification Using Hyperspectral Imagery,
RS(16), No. 17, 2024, pp. 3313.
DOI Link
2409
BibRef
Mauro, F.[Francisco],
Ritchie, M.[Martin],
Wing, B.[Brian],
Frank, B.[Bryce],
Monleon, V.[Vicente],
Temesgen, H.[Hailemariam],
Hudak, A.[Andrew],
Estimation of Changes of Forest Structural Attributes at Three
Different Spatial Aggregation Levels in Northern California using
Multitemporal LiDAR,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Piermattei, L.[Livia],
Karel, W.[Wilfried],
Wang, D.[Di],
Wieser, M.[Martin],
Mokroš, M.[Martin],
Surový, P.[Peter],
Koren, M.[Milan],
Tomaštík, J.[Julián],
Pfeifer, N.[Norbert],
Hollaus, M.[Markus],
Terrestrial Structure from Motion Photogrammetry for Deriving Forest
Inventory Data,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Huang, J.P.[Jia-Peng],
Xing, Y.Q.[Yan-Qiu],
You, H.T.[Hao-Tian],
Qin, L.[Lei],
Tian, J.[Jing],
Ma, J.M.[Jian-Ming],
Particle Swarm Optimization-Based Noise Filtering Algorithm for
Photon Cloud Data in Forest Area,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link
1905
Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) data.
BibRef
Luther, J.E.[Joan E.],
Fournier, R.A.[Richard A.],
van Lier, O.R.[Olivier R.],
Bujold, M.[Mélodie],
Extending ALS-Based Mapping of Forest Attributes with Medium
Resolution Satellite and Environmental Data,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Varvia, P.,
Lähivaara, T.,
Maltamo, M.,
Packalen, P.,
Seppänen, A.,
Gaussian Process Regression for Forest Attribute Estimation From
Airborne Laser Scanning Data,
GeoRS(57), No. 6, June 2019, pp. 3361-3369.
IEEE DOI
1906
Vegetation, Forestry, Ground penetrating radar, Uncertainty,
Measurement, Estimation, Kernel, Area-based approach (ABA),
machine learning
BibRef
Kukkonen, M.,
Maltamo, M.,
Korhonen, L.,
Packalen, P.,
Multispectral Airborne LiDAR Data in the Prediction of Boreal Tree
Species Composition,
GeoRS(57), No. 6, June 2019, pp. 3462-3471.
IEEE DOI
1906
Vegetation, Laser radar, Forestry, Instruments, Backscatter,
Measurement, Remote sensing, Intensity correction,
tree species classification
BibRef
Choi, H.[Heejoon],
Song, Y.[Youngkeun],
Jang, Y.[Youngwoon],
Urban Forest Growth and Gap Dynamics Detected by Yearly Repeated
Airborne Light Detection and Ranging (LiDAR):
A Case Study of Cheonan, South Korea,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Brieger, F.[Frederic],
Herzschuh, U.[Ulrike],
Pestryakova, L.A.[Luidmila A.],
Bookhagen, B.[Bodo],
Zakharov, E.S.[Evgenii S.],
Kruse, S.[Stefan],
Advances in the Derivation of Northeast Siberian Forest Metrics Using
High-Resolution UAV-Based Photogrammetric Point Clouds,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Sackov, I.[Ivan],
Kulla, L.[Ladislav],
Bucha, T.[Tomáš],
A Comparison of Two Tree Detection Methods for Estimation of Forest
Stand and Ecological Variables from Airborne LiDAR Data in Central
European Forests,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Novo-Fernández, A.[Alís],
Barrio-Anta, M.[Marcos],
Recondo, C.[Carmen],
Cámara-Obregón, A.[Asunción],
López-Sánchez, C.A.[Carlos A.],
Integration of National Forest Inventory and Nationwide Airborne
Laser Scanning Data to Improve Forest Yield Predictions in
North-Western Spain,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Dymond, J.R.[John R.],
Zörner, J.[Jan],
Shepherd, J.D.[James D.],
Wiser, S.K.[Susan K.],
Pairman, D.[David],
Sabetizade, M.[Marmar],
Mapping Physiognomic Types of Indigenous Forest using Space-Borne
SAR, Optical Imagery and Air-borne LiDAR,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Dietmaier, A.[Annette],
McDermid, G.J.[Gregory J.],
Rahman, M.M.[Mir Mustafizur],
Linke, J.[Julia],
Ludwig, R.[Ralf],
Comparison of LiDAR and Digital Aerial Photogrammetry for
Characterizing Canopy Openings in the Boreal Forest of Northern
Alberta,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Lehtola, V.V.,
Lehtomäki, M.,
Hyyti, H.,
Kaijaluoto, R.,
Kukko, A.,
Kaartinen, H.,
Hyyppä, J.,
Preregistration Classification of Mobile LIDAR Data Using Spatial
Correlations,
GeoRS(57), No. 9, September 2019, pp. 6900-6915.
IEEE DOI
1909
Laser radar, Correlation,
Simultaneous localization and mapping, Vegetation, Forestry,
BibRef
Hillman, S.[Samuel],
Wallace, L.[Luke],
Reinke, K.[Karin],
Hally, B.[Bryan],
Jones, S.[Simon],
Saldias, D.S.[Daisy S.],
A Method for Validating the Structural Completeness of Understory
Vegetation Models Captured with 3D Remote Sensing,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Wang, X.H.[Xiao-Hu],
Zhang, Y.Z.[Yi-Zhuo],
Xu, M.M.[Miao-Miao],
A Multi-Threshold Segmentation for Tree-Level Parameter Extraction in
a Deciduous Forest Using Small-Footprint Airborne LiDAR Data,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Balazy, R.[Radomir],
Kaminska, A.[Agnieszka],
Ciesielski, M.[Mariusz],
Socha, J.[Jaroslaw],
Pierzchalski, M.[Marcin],
Modeling the Effect of Environmental and Topographic Variables
Affecting the Height Increment of Norway Spruce Stands in Mountainous
Conditions with the Use of LiDAR Data,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Pascual, A.[Adrián],
Using Tree Detection Based on Airborne Laser Scanning to Improve
Forest Inventory Considering Edge Effects and the Co-Registration
Factor,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link
1911
BibRef
Zeng, K.[Kuo],
Zheng, G.[Guang],
Ma, L.X.[Li-Xia],
Ju, W.M.[Wei-Min],
Pang, Y.[Yong],
Modelling Three-Dimensional Spatiotemporal Distributions of Forest
Photosynthetically Active Radiation Using UAV-Based Lidar Data,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Crespo-Peremarch, P.[Pablo],
Ruiz, L.A.[Luis A.],
A Full-Waveform Airborne Laser Scanning Metric Extraction Tool for
Forest Structure Modelling. Do Scan Angle and Radiometric Correction
Matter?,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Roberts, O.[Osian],
Bunting, P.[Pete],
Hardy, A.[Andy],
McInerney, D.[Daniel],
Sensitivity Analysis of the DART Model for Forest Mensuration with
Airborne Laser Scanning,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Pascual, A.[Adrián],
Guerra-Hernández, J.[Juan],
Cosenza, D.N.[Diogo N.],
Sandoval, V.[Vicente],
The Role of Improved Ground Positioning and Forest Structural
Complexity When Performing Forest Inventory Using Airborne Laser
Scanning,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
de Moura, Y.M.[Yhasmin Mendes],
Balzter, H.[Heiko],
Galvão, L.S.[Lênio S.],
Dalagnol, R.[Ricardo],
Espírito-Santo, F.[Fernando],
Santos, E.G.[Erone G.],
Garcia, M.[Mariano],
Bispo, P.[Polyanna_da_Conceição],
Oliveira, R.C.[Raimundo C.],
Shimabukuro, Y.E.[Yosio E.],
Carbon Dynamics in a Human-Modified Tropical Forest:
A Case Study Using Multi-Temporal LiDAR Data,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Krzystek, P.[Peter],
Serebryanyk, A.[Alla],
Schnörr, C.[Claudius],
Cervenka, J.[Jaroslav],
Heurich, M.[Marco],
Large-Scale Mapping of Tree Species and Dead Trees in Šumava National
Park and Bavarian Forest National Park Using Lidar and Multispectral
Imagery,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Guan, H.C.[Hong-Can],
Su, Y.J.[Yan-Jun],
Hu, T.Y.[Tian-Yu],
Wang, R.[Rui],
Ma, Q.[Qin],
Yang, Q.L.[Qiu-Li],
Sun, X.L.[Xi-Liang],
Li, Y.M.[Yu-Mei],
Jin, S.C.[Shi-Chao],
Zhang, J.[Jing],
Ma, Q.[Qin],
Liu, M.[Min],
Wu, F.Y.[Fa-Yun],
Guo, Q.H.[Qing-Hua],
A Novel Framework to Automatically Fuse Multiplatform LiDAR Data in
Forest Environments Based on Tree Locations,
GeoRS(58), No. 3, March 2020, pp. 2165-2177.
IEEE DOI
2003
Vegetation, Laser radar, Forestry, Tin,
Unmanned aerial vehicles, Registers, Forest,
tree location
BibRef
Wang, X.F.[Xiao-Fei],
Zheng, G.[Guang],
Yun, Z.X.[Zeng-Xin],
Moskal, L.M.[L. Monika],
Characterizing Tree Spatial Distribution Patterns Using Discrete
Aerial Lidar Data,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Wang, X.F.[Xiao-Fei],
Zheng, G.[Guang],
Yun, Z.X.[Zeng-Xin],
Xu, Z.S.[Zhao-Shang],
Moskal, L.M.[L. Monika],
Tian, Q.J.[Qing-Jiu],
Characterizing the Spatial Variations of Forest Sunlit and Shaded
Components Using Discrete Aerial Lidar,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Cosenza, D.N.[Diogo N.],
Pereira, L.G.[Luísa Gomes],
Guerra-Hernández, J.[Juan],
Pascual, A.[Adrián],
Soares, P.[Paula],
Tomé, M.[Margarida],
Impact of Calibrating Filtering Algorithms on the Quality of
LiDAR-Derived DTM and on Forest Attribute Estimation through
Area-Based Approach,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Moran, C.J.[Christopher J.],
Kane, V.R.[Van R.],
Seielstad, C.A.[Carl A.],
Mapping Forest Canopy Fuels in the Western United States with
LiDAR-Landsat Covariance,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Itakura, K.[Kenta],
Hosoi, F.[Fumiki],
Automatic Tree Detection from Three-Dimensional Images Reconstructed
from 360° Spherical Camera Using YOLO v2,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Fareed, N.[Nadeem],
Rehman, K.[Khushbakht],
Integration of Remote Sensing and GIS to Extract Plantation Rows from
A Drone-Based Image Point Cloud Digital Surface Model,
IJGI(9), No. 3, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Puliti, S.[Stefano],
Breidenbach, J.[Johannes],
Astrup, R.[Rasmus],
Estimation of Forest Growing Stock Volume with UAV Laser Scanning
Data: Can It Be Done without Field Data?,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Krishna Moorthy, S.M.,
Calders, K.,
Vicari, M.B.,
Verbeeck, H.,
Improved Supervised Learning-Based Approach for Leaf and Wood
Classification From LiDAR Point Clouds of Forests,
GeoRS(58), No. 5, May 2020, pp. 3057-3070.
IEEE DOI
2005
Forestry, Vegetation,
Measurement by laser beam, Radiometry, Data models, tropical forests
BibRef
Fan, G.P.[Guang-Peng],
Nan, L.L.[Liang-Liang],
Chen, F.X.[Fei-Xiang],
Dong, Y.Q.[Yan-Qi],
Wang, Z.M.[Zhi-Ming],
Li, H.[Hao],
Chen, D.Y.[Dan-Yu],
A New Quantitative Approach to Tree Attributes Estimation Based on
LiDAR Point Clouds,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Seidel, D.[Dominik],
Annighöfer, P.[Peter],
Ehbrecht, M.[Martin],
Magdon, P.[Paul],
Wöllauer, S.[Stephan],
Ammer, C.[Christian],
Deriving Stand Structural Complexity from Airborne Laser Scanning
Data: What Does It Tell Us about a Forest?,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Meiforth, J.J.[Jane J.],
Buddenbaum, H.[Henning],
Hill, J.[Joachim],
Shepherd, J.D.[James D.],
Dymond, J.R.[John R.],
Stress Detection in New Zealand Kauri Canopies with WorldView-2
Satellite and LiDAR Data,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Goodbody, T.R.H.[Tristan R.H.],
Tompalski, P.[Piotr],
Coops, N.C.[Nicholas C.],
Hopkinson, C.[Chris],
Treitz, P.[Paul],
van Ewijk, K.[Karin],
Forest Inventory and Diversity Attribute Modelling Using Structural
and Intensity Metrics from Multi-Spectral Airborne Laser Scanning
Data,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Matsuoka, M.[Masayuki],
Moriya, H.[Hitoshi],
Yoshioka, H.[Hiroki],
Correction of Canopy Shadow Effects on Reflectance in an Evergreen
Conifer Forest Using a 3D Point Cloud,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Damkjer, K.L.,
Foroosh, H.,
Lattice-Constrained Stratified Sampling for Point Cloud Levels of
Detail,
GeoRS(58), No. 8, August 2020, pp. 5627-5641.
IEEE DOI
2007
Laser radar, Lattices, Measurement,
Forestry, Spatial resolution, Estimation,
stratified sampling
BibRef
Sterenczak, K.[Krzysztof],
Zaplata, R.[Rafal],
Wójcik, J.[Jaroslaw],
Kraszewski, B.[Bartlomiej],
Mielcarek, M.[Milosz],
Mitelsztedt, K.[Krzysztof],
Bialczak, M.[Malgorzata],
Krok, G.[Grzegorz],
Kuberski, L.[Lukasz],
Markiewicz, A.[Anna],
Modzelewska, A.[Aneta],
Parkitna, K.[Karolina],
Piasecka, Z.[Zaneta],
Pilch, K.[Kamil],
Rzeczycki, K.[Karol],
Sadkowski, R.[Rafal],
Wietecha, M.[Martyna],
Rysiak, P.[Piotr],
von Gadow, K.[Klaus],
Cieszewski, C.J.[Chris J.],
ALS-Based Detection of Past Human Activities in the Bialowieza
Forest: New Evidence of Unknown Remains of Past Agricultural Systems,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Frank, B.[Bryce],
Mauro, F.[Francisco],
Temesgen, H.[Hailemariam],
Model-Based Estimation of Forest Inventory Attributes Using Lidar:
A Comparison of the Area-Based and Semi-Individual Tree Crown
Approaches,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Moe, K.T.[Kyaw Thu],
Owari, T.[Toshiaki],
Furuya, N.[Naoyuki],
Hiroshima, T.[Takuya],
Morimoto, J.[Junko],
Application of UAV Photogrammetry with LiDAR Data to Facilitate the
Estimation of Tree Locations and DBH Values for High-Value Timber
Species in Northern Japanese Mixed-Wood Forests,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Yu, X.W.[Xiao-Wei],
Kukko, A.[Antero],
Kaartinen, H.[Harri],
Wang, Y.S.[Yun-Sheng],
Liang, X.[Xinlian],
Matikainen, L.[Leena],
Hyyppä, J.[Juha],
Comparing features of single and multi-photon lidar in boreal forests,
PandRS(168), 2020, pp. 268-276.
Elsevier DOI
2009
Forest, Single-photon, Multi-photon, Lidar, Airborne laser scanning
BibRef
Imangholiloo, M.[Mohammad],
Saarinen, N.[Ninni],
Holopainen, M.[Markus],
Yu, X.W.[Xiao-Wei],
Hyyppä, J.[Juha],
Vastaranta, M.[Mikko],
Using Leaf-Off and Leaf-On Multispectral Airborne Laser Scanning Data
to Characterize Seedling Stands,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Yan, W.Y.[Wai Yeung],
van Ewijk, K.[Karin],
Treitz, P.[Paul],
Shaker, A.[Ahmed],
Effects of radiometric correction on cover type and spatial
resolution for modeling plot level forest attributes using
multispectral airborne LiDAR data,
PandRS(169), 2020, pp. 152-165.
Elsevier DOI
2011
Multispectral LiDAR, LiDAR scan line correction,
Overlap-driven intensity correction, Intensity banding, Random forests
BibRef
Gobbi, B.[Beatriz],
van Rompaey, A.[Anton],
Loto, D.[Dante],
Gasparri, I.[Ignacio],
Vanacker, V.[Veerle],
Comparing Forest Structural Attributes Derived from UAV-Based Point
Clouds with Conventional Forest Inventories in the Dry Chaco,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Prata, G.A.[Gabriel Atticciati],
Broadbent, E.N.[Eben North],
Alves de Almeida, D.R.[Danilo Roberti],
St. Peter, J.[Joseph],
Drake, J.[Jason],
Medley, P.[Paul],
Corte, A.P.D.[Ana Paula Dalla],
Vogel, J.[Jason],
Sharma, A.[Ajay],
Silva, C.A.[Carlos Alberto],
Zambrano, A.M.A.[Angelica Maria Almeyda],
Valbuena, R.[Ruben],
Wilkinson, B.[Ben],
Single-Pass UAV-Borne GatorEye LiDAR Sampling as a Rapid Assessment
Method for Surveying Forest Structure,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Nevalainen, P.[Paavo],
Li, Q.Q.[Qing-Qing],
Melkas, T.[Timo],
Riekki, K.[Kirsi],
Westerlund, T.[Tomi],
Heikkonen, J.[Jukka],
Navigation and Mapping in Forest Environment Using Sparse Point
Clouds,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Hartley, R.J.L.[Robin J. L.],
Leonardo, E.M.[Ellen Mae],
Massam, P.[Peter],
Watt, M.S.[Michael S.],
Estarija, H.J.[Honey Jane],
Wright, L.[Liam],
Melia, N.[Nathanael],
Pearse, G.D.[Grant D.],
An Assessment of High-Density UAV Point Clouds for the Measurement of
Young Forestry Trials,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Araki, K.[Kazuho],
Awaya, Y.[Yoshio],
Analysis and Prediction of Gap Dynamics in a Secondary Deciduous
Broadleaf Forest of Central Japan Using Airborne Multi-LiDAR
Observations,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Rishmawi, K.[Khaldoun],
Huang, C.Q.[Cheng-Quan],
Zhan, X.[Xiwu],
Monitoring Key Forest Structure Attributes across the Conterminous
United States by Integrating GEDI LiDAR Measurements and VIIRS Data,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link
2102
BibRef
Rishmawi, K.[Khaldoun],
Huang, C.Q.[Cheng-Quan],
Schleeweis, K.[Karen],
Zhan, X.[Xiwu],
Integration of VIIRS Observations with GEDI-Lidar Measurements to
Monitor Forest Structure Dynamics from 2013 to 2020 across the
Conterminous United States,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Neuville, R.[Romain],
Bates, J.S.[Jordan Steven],
Jonard, F.[François],
Estimating Forest Structure from UAV-Mounted LiDAR Point Cloud Using
Machine Learning,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link
2102
BibRef
Brolly, G.[Gábor],
Király, G.[Géza],
Lehtomäki, M.[Matti],
Liang, X.[Xinlian],
Voxel-Based Automatic Tree Detection and Parameter Retrieval from
Terrestrial Laser Scans for Plot-Wise Forest Inventory,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Tian, S.H.[Shi-Hao],
Zheng, G.[Guang],
Eitel, J.U.[Jan U.],
Zhang, Q.[Qian],
A Lidar-Based 3-D Photosynthetically Active Radiation Model Reveals
the Spatiotemporal Variations of Forest Sunlit and Shaded Leaves,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
de Lima, R.S.[Raul Sampaio],
Lang, M.[Mait],
Burnside, N.G.[Niall G.],
Peciña, M.V.[Miguel Villoslada],
Arumäe, T.[Tauri],
Laarmann, D.[Diana],
Ward, R.D.[Raymond D.],
Vain, A.[Ants],
Sepp, K.[Kalev],
An Evaluation of the Effects of UAS Flight Parameters on Digital
Aerial Photogrammetry Processing and Dense-Cloud Production Quality
in a Scots Pine Forest,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Spracklen, B.[Ben],
Spracklen, D.V.[Dominick V.],
Determination of Structural Characteristics of Old-Growth Forest in
Ukraine Using Spaceborne LiDAR,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Palander, T.[Teijo],
Kärhä, K.[Kalle],
Utilization of Image, LiDAR and Gamma-Ray Information to Improve
Environmental Sustainability of Cut-to-Length Wood Harvesting
Operations in Peatlands: A Management Systems Perspective,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Martins-Neto, R.P.[Rorai Pereira],
Tommaselli, A.M.G.[Antonio Maria Garcia],
Imai, N.N.[Nilton Nobuhiro],
David, H.C.[Hassan Camil],
Miltiadou, M.[Milto],
Honkavaara, E.[Eija],
Identification of Significative LiDAR Metrics and Comparison of
Machine Learning Approaches for Estimating Stand and Diversity
Variables in Heterogeneous Brazilian Atlantic Forest,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Vandendaele, B.[Bastien],
Fournier, R.A.[Richard A.],
Vepakomma, U.[Udayalakshmi],
Pelletier, G.[Gaetan],
Lejeune, P.[Philippe],
Martin-Ducup, O.[Olivier],
Estimation of Northern Hardwood Forest Inventory Attributes Using UAV
Laser Scanning (ULS): Transferability of Laser Scanning Methods and
Comparison of Automated Approaches at the Tree- and Stand-Level,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Díaz-Varela, R.A.[Ramón Alberto],
González-Ferreiro, E.[Eduardo],
3D Point Clouds in Forest Remote Sensing,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Park, S.H.[Sung-Hwan],
Jung, H.S.[Hyung-Sup],
Lee, S.[Sunmin],
Kim, E.S.[Eun-Sook],
Mapping Forest Vertical Structure in Sogwang-ri Forest from
Full-Waveform Lidar Point Clouds Using Deep Neural Network,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Sun, J.Q.[Jing-Qian],
Wang, P.[Pei],
Gao, Z.Y.[Zhi-Yong],
Liu, Z.[Zichu],
Li, Y.X.[Ya-Xin],
Gan, X.Z.[Xiao-Zheng],
Liu, Z.N.[Zhong-Nan],
Wood-Leaf Classification of Tree Point Cloud Based on Intensity and
Geometric Information,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Yang, X.[Xuebo],
Wang, C.[Cheng],
Xi, X.H.[Xiao-Huan],
Wang, Y.J.[Ying-Jie],
Zhang, Y.[Ying],
Zhou, G.Q.[Guo-Qing],
Footprint Size Design of Large-Footprint Full-Waveform LiDAR for
Forest and Topography Applications: A Theoretical Study,
GeoRS(59), No. 11, November 2021, pp. 9745-9757.
IEEE DOI
2111
Laser radar, Vegetation mapping, Forestry, Vegetation,
Surface emitting lasers, Gravity, Surface topography,
topography application
BibRef
Krisanski, S.[Sean],
Taskhiri, M.S.[Mohammad Sadegh],
Aracil, S.G.[Susana Gonzalez],
Herries, D.[David],
Muneri, A.[Allie],
Gurung, M.B.[Mohan Babu],
Montgomery, J.[James],
Turner, P.[Paul],
Forest Structural Complexity Tool: An Open Source, Fully-Automated
Tool for Measuring Forest Point Clouds,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Yu, J.W.[Jin-Woo],
Yoon, Y.W.[Young-Woong],
Baek, W.K.[Won-Kyung],
Jung, H.S.[Hyung-Sup],
Forest Vertical Structure Mapping Using Two-Seasonal Optic Images and
LiDAR DSM Acquired from UAV Platform through Random Forest, XGBoost,
and Support Vector Machine Approaches,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Johnson, K.M.[Katharine M.],
Ouimet, W.B.[William B.],
Dow, S.[Samantha],
Haverfield, C.[Cheyenne],
Estimating Historically Cleared and Forested Land in Massachusetts,
USA, Using Airborne LiDAR and Archival Records,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Bauer, L.[Luise],
Knapp, N.[Nikolai],
Fischer, R.[Rico],
Mapping Amazon Forest Productivity by Fusing GEDI Lidar Waveforms
with an Individual-Based Forest Model,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link
2112
BibRef
St. Peter, J.[Joseph],
Drake, J.[Jason],
Medley, P.[Paul],
Ibeanusi, V.[Victor],
Forest Structural Estimates Derived Using a Practical, Open-Source
Lidar-Processing Workflow,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Ayrey, E.[Elias],
Hayes, D.J.[Daniel J.],
Kilbride, J.B.[John B.],
Fraver, S.[Shawn],
Kershaw, J.A.[John A.],
Cook, B.D.[Bruce D.],
Weiskittel, A.R.[Aaron R.],
Synthesizing Disparate LiDAR and Satellite Datasets through Deep
Learning to Generate Wall-to-Wall Regional Inventories for the
Complex, Mixed-Species Forests of the Eastern United States,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Kay, H.[Heather],
Santoro, M.[Maurizio],
Cartus, O.[Oliver],
Bunting, P.[Pete],
Lucas, R.[Richard],
Exploring the Relationship between Forest Canopy Height and Canopy
Density from Spaceborne LiDAR Observations,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Richter, K.,
Maas, H.G.,
Radiometric enhancement of full-waveform airborne laser scanner data
for volumetric representation in environmental applications,
PandRS(183), 2022, pp. 510-524.
Elsevier DOI
2201
Full-waveform airborne laser scanning, Attenuation correction,
Waveform history analysis
BibRef
Stelling, N.,
Richter, K.,
Voxel Based Representation Of Full-waveform Airborne Laser Scanner Data
For Forestry Applications,
ISPRS16(B8: 755-762).
DOI Link
1610
BibRef
Blaszczak-Bak, W.[Wioleta],
Janicka, J.[Joanna],
Kozakiewicz, T.[Tomasz],
Chudzikiewicz, K.[Krystian],
Bak, G.[Grzegorz],
Methodology of Calculating the Number of Trees Based on ALS Data for
Forestry Applications for the Area of Samlawki Forest District,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Tijerín-Triviño, J.[Julián],
Moreno-Fernández, D.[Daniel],
Zavala, M.A.[Miguel A.],
Astigarraga, J.[Julen],
García, M.[Mariano],
Identifying Forest Structural Types along an Aridity Gradient in
Peninsular Spain: Integrating Low-Density LiDAR, Forest Inventory,
and Aridity Index,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Abdi, O.[Omid],
Uusitalo, J.[Jori],
Kivinen, V.P.[Veli-Pekka],
Logging Trail Segmentation via a Novel U-Net Convolutional Neural
Network and High-Density Laser Scanning Data,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Stitt, J.M.[Jessica M.],
Hudak, A.T.[Andrew T.],
Silva, C.A.[Carlos A.],
Vierling, L.A.[Lee A.],
Vierling, K.T.[Kerri T.],
Evaluating the Use of Lidar to Discern Snag Characteristics Important
for Wildlife,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Parada-Díaz, J.[Jesús],
López, Á.B.F.[Ángel B. Fernández],
González, L.A.G.[Luis A. Gómez],
del Arco Aguilar, M.J.[Marcelino J.],
González-Mancebo, J.M.[Juana María],
Assessing the Usefulness of LiDAR for Monitoring the Structure of a
Montane Forest on a Subtropical Oceanic Island,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Pagliai, A.[Andrea],
Ammoniaci, M.[Marco],
Sarri, D.[Daniele],
Lisci, R.[Riccardo],
Perria, R.[Rita],
Vieri, M.[Marco],
d'Arcangelo, M.E.M.[Mauro Eugenio Maria],
Storchi, P.[Paolo],
Kartsiotis, S.P.[Simon-Paolo],
Comparison of Aerial and Ground 3D Point Clouds for Canopy Size
Assessment in Precision Viticulture,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Kruper, A.[Ally],
McGaughey, R.J.[Robert J.],
Crumrine, S.[Sarah],
Bormann, B.T.[Bernard T.],
Bennett, K.[Keven],
Bobsin, C.R.[Courtney R.],
Using Airborne LiDAR to Map Red Alder in the Sappho Long-Term
Ecosystem Productivity Study,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Liu, H.[Hao],
Cao, F.[Fuliang],
She, G.H.[Guang-Hui],
Cao, L.[Lin],
Extrapolation Assessment for Forest Structural Parameters in Planted
Forests of Southern China by UAV-LiDAR Samples and Multispectral
Satellite Imagery,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Han, T.[Tao],
Sánchez-Azofeifa, G.A.[Gerardo Arturo],
A Deep Learning Time Series Approach for Leaf and Wood Classification
from Terrestrial LiDAR Point Clouds,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Fayad, I.[Ibrahim],
Baghdadi, N.[Nicolas],
Lahssini, K.[Kamel],
An Assessment of the GEDI Lasers' Capabilities in Detecting
Canopy Tops and Their Penetration in a Densely Vegetated, Tropical
Area,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Wu, X.Q.[Xiang-Qian],
Shen, X.[Xin],
Zhang, Z.N.[Zheng-Nan],
Cao, F.[Fuliang],
She, G.H.[Guang-Hui],
Cao, L.[Lin],
An Advanced Framework for Multi-Scale Forest Structural Parameter
Estimations Based on UAS-LiDAR and Sentinel-2 Satellite Imagery in
Forest Plantations of Northern China,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link
2208
BibRef
An, L.[Likun],
Wang, J.[Jia],
Xiong, N.[Nina],
Wang, Y.T.[Yu-Tang],
You, J.S.[Jia-Shuo],
Li, H.[Hao],
Assessment of Permeability Windbreak Forests with Different
Porosities Based on Laser Scanning and Computational Fluid Dynamics,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Shen, X.Y.[Xing-Yu],
Huang, Q.Q.[Qing-Qing],
Wang, X.[Xin],
Li, J.[Jiang],
Xi, B.[Benye],
A Deep Learning-Based Method for Extracting Standing Wood Feature
Parameters from Terrestrial Laser Scanning Point Clouds of
Artificially Planted Forest,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Dhargay, S.[Sonam],
Lyell, C.S.[Christopher S.],
Brown, T.P.[Tegan P.],
Inbar, A.[Assaf],
Sheridan, G.J.[Gary J.],
Lane, P.N.J.[Patrick N. J.],
Performance of GEDI Space-Borne LiDAR for Quantifying Structural
Variation in the Temperate Forests of South-Eastern Australia,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Zhou, T.[Tian],
dos Santos, R.C.[Renato César],
Liu, J.D.[Ji-Dong],
Lin, Y.C.[Yi-Chun],
Fei, W.C.[William Changhao],
Fei, S.L.[Song-Lin],
Habib, A.[Ayman],
Comparative Evaluation of a Newly Developed Trunk-Based Tree
Detection/Localization Strategy on Leaf-Off LiDAR Point Clouds with
Varying Characteristics,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Hevia, A.[Andrea],
Calzado, A.[Anabel],
Alejano, R.[Reyes],
Vázquez-Piqué, J.[Javier],
Identification of Old-Growth Mediterranean Forests Using Airborne
Laser Scanning and Geostatistical Analysis,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Sagar, A.[Ankit],
Vega, C.[Cédric],
Bouriaud, O.[Olivier],
Piedallu, C.[Christian],
Renaud, J.P.[Jean-Pierre],
Multisource forest inventories: A model-based approach using k-NN to
reconcile forest attributes statistics and map products,
PandRS(192), 2022, pp. 175-188.
Elsevier DOI
2209
Multisource forest inventories, Statistical inference,
Forest attribute maps, Reliability assessment, LiDAR, Photogrammetry
BibRef
Qi, Y.Q.[Yang-Qian],
Coops, N.C.[Nicholas C.],
Daniels, L.D.[Lori D.],
Butson, C.R.[Christopher R.],
Comparing tree attributes derived from quantitative structure models
based on drone and mobile laser scanning point clouds across varying
canopy cover conditions,
PandRS(192), 2022, pp. 49-65.
Elsevier DOI
2209
Tree attributes, Laser scanning, Drone, SLAM, Canopy cover,
Quantitative structure model (QSM)
BibRef
Kriese, J.[Jennifer],
Hoeser, T.[Thorsten],
Asam, S.[Sarah],
Kacic, P.[Patrick],
da Ponte, E.[Emmanuel],
Gessner, U.[Ursula],
Deep Learning on Synthetic Data Enables the Automatic Identification
of Deficient Forested Windbreaks in the Paraguayan Chaco,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Schroeder, T.A.[Todd A.],
Obata, S.[Shingo],
Papes, M.[Monica],
Branoff, B.[Benjamin],
Evaluating Statewide NAIP Photogrammetric Point Clouds for
Operational Improvement of National Forest Inventory Estimates in
Mixed Hardwood Forests of the Southeastern U.S.,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Powell, E.B.[Elisabeth B.],
Laurent, K.A.S.[Kari A. St.],
Dubayah, R.[Ralph],
Lidar-Imagery Fusion Reveals Rapid Coastal Forest Loss in Delaware
Bay Consistent with Marsh Migration,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Alvites, C.[Cesar],
Marchetti, M.[Marco],
Lasserre, B.[Bruno],
Santopuoli, G.[Giovanni],
LiDAR as a Tool for Assessing Timber Assortments:
A Systematic Literature Review,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Dayal, K.R.[Karun R.],
Durrieu, S.[Sylvie],
Lahssini, K.[Kamel],
Alleaume, S.[Samuel],
Bouvier, M.[Marc],
Monnet, J.M.[Jean-Matthieu],
Renaud, J.P.[Jean-Pierre],
Revers, F.[Frédéric],
Renaud, J.P.[Jean-Pierre],
Revers, F.[Frédéric],
An investigation into lidar scan angle impacts on stand attribute
predictions in different forest environments,
PandRS(193), 2022, pp. 314-338.
Elsevier DOI
2210
Lidar, ABA models, Scan angle, Forest structure, Voxelisation,
Vegetation profile, Leaf area index, Forest inventory
BibRef
Sumnall, M.J.[Matthew J.],
Hill, R.A.[Ross A.],
Hinsley, S.A.[Shelley A.],
Towards Forest Condition Assessment: Evaluating Small-Footprint
Full-Waveform Airborne Laser Scanning Data for Deriving Forest
Structural and Compositional Metrics,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Li, B.[Bowen],
Lu, H.[Hao],
Wang, H.[Han],
Qi, J.B.[Jian-Bo],
Yang, G.[Gang],
Pang, Y.[Yong],
Dong, H.L.[Hao-Lin],
Lian, Y.[Yining],
Terrain-Net: A Highly-Efficient, Parameter-Free, and Easy-to-Use Deep
Neural Network for Ground Filtering of UAV LiDAR Data in Forested
Environments,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Sun, Y.[Yusen],
Jin, X.[Xingji],
Pukkala, T.[Timo],
Li, F.[Fengri],
A Comparison of Four Methods for Automatic Delineation of Tree Stands
from Grids of LiDAR Metrics,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Budei, B.C.[Brindusa Cristina],
St-Onge, B.[Benoît],
Fournier, R.A.[Richard A.],
Kneeshaw, D.[Daniel],
Effects of Viewing Geometry on Multispectral Lidar-Based
Needle-Leaved Tree Species Identification,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Zhang, B.[Bo],
Li, X.J.[Xue-Jian],
Du, H.Q.[Hua-Qiang],
Zhou, G.[Guomo],
Mao, F.J.[Fang-Jie],
Huang, Z.[Zihao],
Zhou, L.[Lv],
Xuan, J.[Jie],
Gong, Y.L.[Yu-Lin],
Chen, C.[Chao],
Estimation of Urban Forest Characteristic Parameters Using UAV-Lidar
Coupled with Canopy Volume,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Trouvé, R.[Raphael],
Jiang, R.Z.[Rui-Zhu],
Fedrigo, M.[Melissa],
White, M.D.[Matt D.],
Kasel, S.[Sabine],
Baker, P.J.[Patrick J.],
Nitschke, C.R.[Craig R.],
Combining Environmental, Multispectral, and LiDAR Data Improves
Forest Type Classification: A Case Study on Mapping Cool Temperate
Rainforests and Mixed Forests,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Godfroy, J.[Julien],
Lejot, J.[Jérôme],
Demarchi, L.[Luca],
Bizzi, S.[Simone],
Michel, K.[Kristell],
Piégay, H.[Hervé],
Combining Hyperspectral, LiDAR, and Forestry Data to Characterize
Riparian Forests along Age and Hydrological Gradients,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Cabral, R.P.[Ricardo Pinheiro],
da Silva, G.F.[Gilson Fernandes],
de Almeida, A.Q.[André Quintão],
Bonilla-Bedoya, S.[Santiago],
Dias, H.M.[Henrique Machado],
de Mendonça, A.R.[Adriano Ribeiro],
Rodrigues, N.M.M.[Nívea Maria Mafra],
Valente, C.C.A.[Carem Cristina Araujo],
Oliveira, K.[Klisman],
Gonçalves, F.G.[Fábio Guimarães],
Sarcinelli, T.S.[Tathiane Santi],
Mapping of the Successional Stage of a Secondary Forest Using Point
Clouds Derived from UAV Photogrammetry,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Hirschmugl, M.[Manuela],
Lippl, F.[Florian],
Sobe, C.[Carina],
Assessing the Vertical Structure of Forests Using Airborne and
Spaceborne LiDAR Data in the Austrian Alps,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
García-Galar, A.[Aitor],
Lamelas, M.T.[M. Teresa],
Domingo, D.[Darío],
Assessment of Oak Groves Conservation Statuses in Natura 2000 Sacs
with Single Photon Lidar and Sentinel-2 Data,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Cai, S.S.[Shang-Shu],
Yu, S.[Sisi],
Filtering Airborne LiDAR Data in Forested Environments Based on
Multi-Directional Narrow Window and Cloth Simulation,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Shinde, R.C.[Rajat C.],
Durbha, S.S.[Surya S.],
Deep Convolutional Compressed Sensing-Based Adaptive 3D
Reconstruction of Sparse LiDAR Data: A Case Study for Forests,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Seeley, M.M.[Megan M.],
Martin, R.E.[Roberta E.],
Vaughn, N.R.[Nicholas R.],
Thompson, D.R.[David R.],
Dai, J.[Jie],
Asner, G.P.[Gregory P.],
Quantifying the Variation in Reflectance Spectra of Metrosideros
polymorpha Canopies across Environmental Gradients,
RS(15), No. 6, 2023, pp. 1614.
DOI Link
2304
BibRef
Yu, J.W.[Jin-Woo],
Jung, H.S.[Hyung-Sup],
Forest Vertical Structure Mapping Using Multi-Seasonal UAV Images and
Lidar Data via Modified U-Net Approaches,
RS(15), No. 11, 2023, pp. 2833.
DOI Link
2306
BibRef
Wang, J.[Jie],
Yao, C.J.[Chun-Jing],
Ma, H.C.[Hong-Chao],
Xu, J.H.[Jun-Hao],
Qian, C.[Chen],
Sample Plots Forestry Parameters Verification and Updating Using
Airborne LiDAR Data,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link
2307
BibRef
Luo, W.J.[Wen-Jun],
Ma, H.C.[Hong-Chao],
Yuan, J.L.[Jia-Lin],
Zhang, L.[Liang],
Ma, H.[Haichi],
Cai, Z.[Zhan],
Zhou, W.W.[Wei-Wei],
High-Accuracy Filtering of Forest Scenes Based on Full-Waveform LiDAR
Data and Hyperspectral Images,
RS(15), No. 14, 2023, pp. 3499.
DOI Link
2307
BibRef
Wu, Y.[Yang],
Zhao, R.[Rong],
Hu, Q.[Qing],
Zhang, Y.[Yujia],
Zhang, K.[Kun],
Retrieving Sub-Canopy Terrain from ICESat-2 Data Based on the RNR-DCM
Filtering and Erroneous Ground Photons Correction Approach,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link
2308
BibRef
Ambrosino, A.[Antonella],
di Benedetto, A.[Alessandro],
Fiani, M.[Margherita],
LiDAR Data and HRSI to Evaluate the Mitigating Effect of Forests into
Rockfall Risk Analysis Using SOM: Mt San Liberatore Case Study,
RS(15), No. 18, 2023, pp. 4523.
DOI Link
2310
BibRef
Diaz-Kloch, N.[Nicolas],
Murray, D.L.[Dennis L.],
Bridging the Gap: Comprehensive Boreal Forest Complexity Mapping
through LVIS Full-Waveform LiDAR, Single-Year and Time Series Landsat
Imagery,
RS(15), No. 22, 2023, pp. 5274.
DOI Link
2311
BibRef
Trouvé, R.[Raphaël],
Jiang, R.Z.[Rui-Zhu],
Baker, P.J.[Patrick J.],
Kasel, S.[Sabine],
Nitschke, C.R.[Craig R.],
Identifying Old-Growth Forests in Complex Landscapes: A New
LiDAR-Based Estimation Framework and Conservation Implications,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link
2401
BibRef
Peng, Y.P.[Ye-Ping],
Lin, S.D.[Sheng-Dong],
Wu, H.K.[Hong-Kun],
Cao, G.Z.[Guang-Zhong],
Point Cloud Registration Based on Fast Point Feature Histogram
Descriptors for 3D Reconstruction of Trees,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link
2308
BibRef
Yan, X.H.[Xuan-Hao],
Chai, G.Q.[Guo-Qi],
Han, X.Y.[Xin-Yi],
Lei, L.T.[Ling-Ting],
Wang, G.[Geng],
Jia, X.[Xiang],
Zhang, X.L.[Xiao-Li],
SA-Pmnet: Utilizing Close-Range Photogrammetry Combined with Image
Enhancement and Self-Attention Mechanisms for 3D Reconstruction of
Forests,
RS(16), No. 2, 2024, pp. 416.
DOI Link
2402
BibRef
Fakhri, A.[Arvin],
Latifi, H.[Hooman],
Samani, K.M.[Kyumars Mohammadi],
Fassnacht, F.E.[Fabian Ewald],
CaR3DMIC: A novel method for evaluating UAV-derived 3D forest models
by tree features,
PandRS(208), 2024, pp. 279-295.
Elsevier DOI Code:
DOI Link
2402
BibRef
Navarro-Cerrillo, R.M.[Rafael M.],
Cedrés, E.P.[Eva Padrón],
Cachinero-Vivar, A.M.[Antonio M.],
Valeriano, C.[Cristina],
Camarero, J.J.[Jesús Julio],
Integrating Dendrochronological and LiDAR Data to Improve Management
of Pinus canariensis Forests under Different Thinning and Climatic
Scenarios,
RS(16), No. 5, 2024, pp. 850.
DOI Link
2403
BibRef
Neto, B.H.Z.[Bill Herbert Ziegelmaier],
Schimalski, M.B.[Marcos Benedito],
Liesenberg, V.[Veraldo],
Sothe, C.[Camile],
Martins-Neto, R.P.[Rorai Pereira],
Floriani, M.M.P.[Mireli Moura Pitz],
Combining LiDAR and Spaceborne Multispectral Data for Mapping
Successional Forest Stages in Subtropical Forests,
RS(16), No. 9, 2024, pp. 1523.
DOI Link
2405
BibRef
Zhang, D.[Dafeng],
Král, K.[Kamil],
Krucek, M.[Martin],
Cushman, K.C.,
Kellner, J.R.[James R.],
Near-Complete Sampling of Forest Structure from High-Density Drone
Lidar Demonstrated by Ray Tracing,
RS(16), No. 15, 2024, pp. 2774.
DOI Link
2408
BibRef
Ariza-Salamanca, A.J.[Antonio Jesús],
González-Moreno, P.[Pablo],
López-Quintanilla, J.B.[José Benedicto],
Navarro-Cerrillo, R.M.[Rafael María],
Large-Scale Mapping of Complex Forest Typologies Using Multispectral
Imagery and Low-Density Airborne LiDAR:
A Case Study in Pinsapo Fir Forests,
RS(16), No. 17, 2024, pp. 3182.
DOI Link
2409
BibRef
Novo, A.[Ana],
González-Jorge, H.[Higinio],
Martínez-Sánchez, J.[Joaquín],
Fernández-Alonso, J.M.[José María],
Lorenzo, H.[Henrique],
Automated Structural Forest Changes Using Lidar Point Clouds and GIS
Analyses,
ISPRS21(B3-2021: 603-608).
DOI Link
2201
BibRef
Campos, M.,
Litkey, P.,
Wang, Y.,
Chen, Y.,
Hyyti, H.,
Hyyppä, J.,
Puttonen, E.,
A Terrestrial Laser Scanning Measurement Station to Monitor Long-term
Structural Dynamics In A Boreal Forest,
ISPRS20(B1:27-31).
DOI Link
2012
BibRef
Dayal, K.R.,
Durrieu, S.,
Alleaume, S.,
Revers, F.,
Larmanou, E.,
Renaud, J.P.,
Bouvier, M.,
Scan Angle Impact on Lidar-derived Metrics Used in ABA Models for
Prediction of Forest Stand Characteristics: A Grid Based Analysis,
ISPRS20(B3:975-982).
DOI Link
2012
BibRef
Vepakomma, U.,
Cormier, D.,
Valuing Forest Stand At a Glance With UAV Based Lidar,
UAV-g19(643-647).
DOI Link
1912
BibRef
Babadi, M.,
Sattari, M.,
Iran Pour, S.,
Exploring The Potential of Full Waveform Airborne Lidar Features And
Its Fusion With Rgb Image in Classification of a Sparsely Forested Area,
SMPR19(147-152).
DOI Link
1912
BibRef
Chen, Y.,
Liu, Z.,
Zhang, W.,
Qiao, C.,
Gu, H.,
Extraction of Leaf Angle Distribution From An Individual Broadleaf Tree
Using Terrestrial Laser Scanning Data,
Laser19(957-962).
DOI Link
1912
BibRef
Lee, D.,
Muir, W.,
Beeston, S.,
Bates, S.,
Schofield, S.D.,
Edwards, M.J.,
Green, R.D.,
Analysing Forests Using Dense Point Clouds,
IVCNZ18(1-6)
IEEE DOI
1902
Vegetation, Forestry, Measurement,
Software, Solid modeling, Virtual reality, Trees, Forest, Point Clouds,
Photogrammetry
BibRef
Fuse, T.,
Hiramatsu, D.,
Nakanishi, W.,
Multi-target Detection From Full-waveform Airborne Laser Scanner Using
PHD Filter,
ISPRS16(B5: 647-652).
DOI Link
1610
PHD: probability hypothesis density.
Forest and vegetation.
BibRef
Monnet, J.M.,
Ginzler, C.,
Clivaz, J.C.,
Wide-area Mapping Of Forest With National Airborne Laser Scanning And
Field Inventory Datasets,
ISPRS16(B8: 727-731).
DOI Link
1610
BibRef
Kalwar, O.P.P.[Om Prakash Prasad],
Hussin, Y.A.[Yousif A.],
Weir, M.J.C.[Michael J.C.],
Karna, Y.K.[Yogendra K.],
Derivation Of Forest Inventory Parameters For Carbon Estimation Using
Terrestrial Lidar,
ISPRS16(B8: 677-684).
DOI Link
1610
BibRef
Rybansky, M.,
Brenova, M.,
Zerzan, P.,
Simon, J.,
Mikita, T.,
Methods For The Update And Verification of Forest Surface Model,
ISPRS16(B4: 51-54).
DOI Link
1610
BibRef
Crespo-Peremarch, P.,
Ruiz, L.A.,
Balaguer-Beser, A.,
Estornell, J.,
Analysis Of The Side-lap Effect On Full-waveform Lidar Data Acquisition
For The Estimation Of Forest Structure Variables,
ISPRS16(B8: 603-610).
DOI Link
1610
BibRef
Bournez, E.,
Landes, T.,
Saudreau, M.,
Kastendeuch, P.,
Najjar, G.,
Impact Of Level Of Details In The 3d Reconstruction Of Trees For
Microclimate Modeling,
ISPRS16(B8: 257-264).
DOI Link
1610
BibRef
Kippers, R.G.,
Moth, L.,
Oude Elberink, S.J.,
Automatic Modelling of 3d Trees Using Aerial Lidar Point Cloud Data And
Deep Learning,
ISPRS21(B2-2021: 179-184).
DOI Link
2201
BibRef
Gorte, B.,
Oude Elberink, S.,
Sirmacek, B.,
Wang, J.,
IQPC 2015 Track: Tree Separation and Classification in Mobile Mapping
LIDAR Data,
GeoBigData15(607-612).
DOI Link
1602
BibRef
Maset, E.[Eleonora],
Carniel, R.[Roberto],
Crosilla, F.[Fabio],
Unsupervised Classification of Raw Full-Waveform Airborne Lidar Data by
Self Organizing Maps,
CIAP15(I:62-72).
Springer DOI
1511
BibRef
Song, X.P.,
Tang, H.,
Accuracy Assessment of Landsat-Derived Continuous Fields of Tree Cover
Products Using Airborne Lidar Data in the Eastern United States,
IWIDF15(241-246).
DOI Link
1508
BibRef
Pirotti, F.,
Guarnieri, A.,
Masiero, A.,
Vettore, A.,
Lingua, E.,
Processing lidar waveform data for 3D visual assessment of forest
environments,
CloseRange14(493-499).
DOI Link
1411
BibRef
Richter, K.,
Stelling, N.,
Maas, H.G.,
Correcting attenuation effects caused by interactions in the forest
canopy in full-waveform airborne laser scanner data,
PCV14(273-280).
DOI Link
1404
BibRef
Bordin, F.,
Teixeira, E.C.,
Rolim, S.B.A.,
Tognoli, F.M.W.,
Souza, C.N.,
Veronez, M.R.,
Analysis of the Influence of Distance on Data Acquisition Intensity
Forestry Targets by a LIDAR Technique with Terrestrial Laser Scanner,
ISSDQ13(99-103).
DOI Link
1311
BibRef
Wu, Z.Z.[Zheng-Zhe],
Heikkinen, V.[Ville],
Hauta-Kasari, M.[Markku],
Parkkinen, J.[Jussi],
Tokola, T.[Timo],
Forest Stand Delineation Using a Hybrid Segmentation Approach Based on
Airborne Laser Scanning Data,
SCIA13(95-106).
Springer DOI
1311
BibRef
Zhou, M.,
Liu, M.H.,
Zhang, Z.,
Wang, J.H.,
Enhanced Component Detection Algorithm of Full-Waveform LIDAR Data,
Hannover13(393-397).
DOI Link
1308
forests among other issues.
BibRef
Kim, S.,
Lee, I.,
Lee, M.,
Lidar Waveform Simulation Over Complex Targets,
ISPRS12(XXXIX-B7:517-522).
DOI Link
1209
BibRef
Wang, C.K.,
Exploring Weak and Overlapped Returns of a Lidar Waveform with a
Wavelet-Based Echo Detector,
ISPRS12(XXXIX-B7:529-534).
DOI Link
1209
BibRef
Endo, T.,
Sawada, Y.,
Kobayashi, T.,
Sawada, H.,
Developing a 3D Waveform Lidar Simulator FOR Forest,
ISPRS12(XXXIX-B8:399-402).
DOI Link
1209
BibRef
Bohlin, J.,
Wallerman, J.,
Olsson, H.,
Fransson, J.E.S.,
Species-specific Forest Variable Estimation Using Non-parametric
Modeling Of Multi-spectral Photogrammetric Point Cloud Data,
ISPRS12(XXXIX-B8:387-391).
DOI Link
1209
BibRef
Chhatkuli, S.,
Mano, K.,
Kogure, T.,
Tachibana, K.,
Shimamura, H.,
Full Waveform Lidar Exploitation Technique And Its Evaluation In The
Mixed Forest Hilly Region,
ISPRS12(XXXIX-B7:505-509).
DOI Link
1209
BibRef
Song, Y.K.[Young-Keun],
Maki, M.[Masayasu],
Imanishi, J.[Junichi],
Morimoto, Y.[Yukihiro],
Voxel-Based Estimation Of Plant Area Density From Airborne Laser
Scanner Data,
Laser11(xx-yy).
DOI Link
1109
BibRef
Vastaranta, M.[Mikko],
Korpela, I.[Ilkka],
Uotila, A.[Antti],
Hovi, A.[Aarne],
Holopainen, M.[Markus],
Area-Based Snow Damage Classification of Forest Canopies Using
Bi-Temporal Lidar Data,
Laser11(xx-yy).
DOI Link
1109
BibRef
Bienert, A.,
Queck, R.,
Schmidt, A.,
Bernhofer, C.,
Maas, H.G.,
Voxel Space Analysis Of Terrestrial Laser Scans In Forests For Wind
Field Modeling,
CloseRange10(xx-yy).
PDF File.
1006
BibRef
Hermosilla, T.,
Almonacid, J.,
Fernández-Sarría, A.,
Ruiz, L.A.,
Recio, J.A.,
Combining Features Extracted from Imagery and Lidar Data for
Object-Oriented Classification of Forest Areas,
GEOBIA10(xx-yy).
PDF File.
1007
BibRef
Petr, M.,
Smith, M.,
Suaréz, J.C.,
Object-Based Approach for Mapping Complex Forest Structure Phases Using
LIDAR Data,
GEOBIA10(xx-yy).
PDF File.
1007
BibRef
Baligh, A.,
Valadan Zoej, M.J.,
Mohammadzadeh, A.,
Bare Earth Extraction from Airborne LIDAR Data Using Different
Filtering Methods,
ISPRS08(B3b: 237 ff).
PDF File.
0807
BibRef
Tang, F.F.,
Liu, J.N.,
Zhang, X.H.,
Ruan, Z.M.,
Derivation of Digital Terrain Model in Forested Area with Airborne
LIDAR Data,
ISPRS08(B3b: 343 ff).
PDF File.
0807
BibRef
Pál, I.[István],
Measurements of Forest Inventory Parameters on Terrestrial Laser
Scanning Data Using Digital Geometry and Topology,
ISPRS08(B3b: 373 ff).
PDF File.
0807
BibRef
Bao, Y.F.[Yun-Fei],
Li, G.P.[Guo-Ping],
Cao, C.X.[Chun-Xiang],
Li, X.W.[Xiao-Wen],
Zhang, H.[Hao],
He, Q.S.[Qi-Sheng],
Bai, L.Y.[Lin-Yan],
Chang, C.Y.[Chao-Yi],
Classification of LIDAR Point Cloud and Generation of DTM from LIDAR
Height and Intensity Data In Forested Area,
ISPRS08(B3b: 313 ff).
PDF File.
0807
BibRef
Hill, R.A.,
Going Undercover: Mapping Woodland Understorey from Leaf-On and
Leaf-Off Lidar Data,
Laser07(184).
PDF File.
0709
BibRef
Hopkinson, C.,
Chasmer, L.,
Modelling Canopy Gap Fraction from Lidar Intensity,
Laser07(190).
PDF File.
0709
BibRef
Chasmer, L.,
Barr, A.,
Black, A.,
Hopkinson, C.,
Kljun, N.,
McCaughey, J.H.,
Treitz, P.,
Using Airborne Lidar for the Assessment of Canopy Structure Influences
on CO2 Fluxes,
Laser07(96).
PDF File.
0709
BibRef
Gross, H.,
Jutzi, B.,
Thoennessen, U.,
Segmentation of Tree Regions Using Data of a Full-Waveform Laser,
PIA07(57).
PDF File.
0711
BibRef
Mehtätalo, L.,
Maltamo, M.,
Packalen, P.,
Recovering Plot-Specific Diameter Distribution and Height-Diameter
Curve Using ALS Based Stand Characteristics,
Laser07(288).
PDF File.
0709
BibRef
Maltamo, M.,
Packalén, P.,
Peuhkurinen, J.,
Suvanto, A.,
Pesonen, A.,
Hyyppä, J.,
Experiences and Possibilities of ALS Based Forest Inventory in Finland,
Laser07(270).
PDF File.
0709
BibRef
Kukko, A.,
Hyyppä, J.,
Laser Scanner Simulator for System Analysis and Algorithm Development:
a Case with Forest Measurements,
Laser07(234).
PDF File.
0709
BibRef
Kobler, A.,
Ogrinc, P.,
REIN Algorithm and the Influence of Point Cloud Density on nDSM and DTM
Precision in a Submediterranean Forest,
Laser07(216).
PDF File.
0709
BibRef
Gobakken, T.,
Naesset, E.,
Assessing Effects of Laser Point Density on Biophysical Stand
Properties Derived from Airborne Laser Scanner Data in Mature Forest,
Laser07(150).
PDF File.
0709
BibRef
Ginzler, C.,
Boehl, J.,
Boesch, R.,
Waser, L.T.,
Accuracy of Forest Parameters Derived from Medium Footprint Lidar under
Operational Constraints,
Laser07(144).
PDF File.
0709
BibRef
Fleck, S.,
Obertreiber, N.,
Schmidt, I.,
Brauns, M.,
Jungkunst, H.,
Leuschner, C.,
Terrestrial Lidar Measurents for Analysing Canopy Structure in an
Old-Growth Forest,
Laser07(125).
PDF File.
0709
BibRef
Gatziolis, D.,
Lidar-Derived Site Index in the U.S. Pacific Northwest:
Challenges and Opportunities,
Laser07(136).
PDF File.
0709
BibRef
Boyd, D.S.,
Hill, R.A.,
Validation of Airborne Lidar Intensity Values from a Forested Landscape
Using HYMAP data: Preliminary Analyses,
Laser07(71).
PDF File.
0709
BibRef
Bollandsås, O.M.,
Hanssen, K.H.,
Marthiniussen, S.,
Naesset, E.,
Using Airborne Small-Footprint Laser Scanner to Assess the Quantity of
Seedlings in an Uneven-Aged Spruce Forest,
Laser07(62).
PDF File.
0709
BibRef
Kwak, D.A.,
Lee, W.K.,
Cho, H.K.,
Estimation of LAI Using LiDAR Remote Sensing in Forest,
Laser07(248).
PDF File.
0709
BibRef
Wezyk, P.,
Koziol, K.,
Glista, M.,
Pierzchalski, M.,
Terrestrial Laser Scanning Versus Traditional Forest Inventory First
Results from the Polish Forests,
Laser07(424).
PDF File.
0709
BibRef
Morsdorf, F.[Felix],
Mårell, A.[Anders],
Rigolot, E.[Eric],
Allgöwer, B.[Britta],
A role for Airborne Laser Scanning Intensity Data in Vertical
Stratification of Multilayered Ecosystems,
Laser09(141).
0909
BibRef
Morsdorf, F.,
Koetz, B.,
Meier, E.,
Itten, K.I.,
Allgöwer, B.,
The potential of discrete return, small footprint airborne laser
scanning data for vegetation density estimation,
Laser05(xx-yy).
PDF File.
0509
BibRef
Maier, B.,
Tiede, D.,
Dorren, L.,
Assessing mountain forest structure using airborne laser scanning and
landscape metrics,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Schardt, M.[Mathias],
Ziegler, M.[Michaela],
Wimmer, A.[Andreas],
Wack, R.[Roland],
Hyyppä, J.[Juha],
Assessment of Forest Parameters by Means of Laser Scanning,
PCV02(A: 302).
0305
BibRef
Andersen, H.E.[Hans-Erik],
Reutebuch, S.E.[Stephen E.],
Schreuder, G.F.[Gerard F.],
Bayesian Object Recognition for the Analysis of Complex Forest Scenes
in Airborne Laser Scanner Data,
PCV02(A: 35).
0305
BibRef
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Forest Analysis, IFSAR, SAR, Radar .