Muchoney, D.M.,
Haack, B.N.,
Change Detection For Monitoring Forest Defoliation,
PhEngRS(60), No. 10, October 1994, pp. 1243-1251.
BibRef
9410
Cohen, W.,
Fiorella, M.,
Gray, J.,
Helmer, E., and
Anderson, K.,
An efficient and accurate method for mapping forest clearcuts in the Pacific
northwest using Landsat imagery,
PhEngRS(64), 1998, pp. 293-300.
BibRef
9800
Coppin, P., and
Bauer, M.,
Digital change detection in forest ecosystems
with remote sensing imagery,
Remote Sens. Rev.(13), 1996, pp. 207-234.
BibRef
9600
Hame, T.,
Heiler, I.,
San Miguel-Ayanz, J.,
An Unsupervised Change Detection and Recognition System for Forestry,
JRS(19), No. 6, April 1998, pp. 1079-1099.
9805
BibRef
Song, C.H.[Cong-He],
Woodcock, C.E.,
Monitoring forest succession with multitemporal landsat images:
Factors of Uncertainty,
GeoRS(41), No. 11, November 2003, pp. 2557-2567.
IEEE Abstract.
0311
BibRef
Maselli, F.,
Moriondo, M.,
Chiesi, M.,
Chirici, G.,
Puletti, N.,
Barbati, A.,
Corona, P.,
Evaluating the Effects of Environmental Changes on the Gross Primary
Production of Italian Forests,
RS(1), No. 4, December 2009, pp. 1108-1124.
DOI Link
1203
BibRef
Vastaranta, M.,
Kantola, T.,
Lyytikäinen-Saarenmaa, P.,
Holopainen, M.,
Kankare, V.,
Wulder, M.,
Hyyppä, J.,
Hyyppä, H.,
Area-Based Mapping of Defoliation of Scots Pine Stands Using Airborne
Scanning LiDAR,
RS(5), No. 3, March 2013, pp. 1220-1234.
DOI Link
1304
BibRef
Battista, P.[Piero],
Chiesi, M.[Marta],
Rapi, B.[Bernardo],
Romani, M.[Maurizio],
Cantini, C.[Claudio],
Giovannelli, A.[Alessio],
Cocozza, C.[Claudia],
Tognetti, R.[Roberto],
Maselli, F.[Fabio],
Integration of Ground and Multi-Resolution Satellite Data for
Predicting the Water Balance of a Mediterranean Two-Layer
Agro-Ecosystem,
RS(8), No. 9, 2016, pp. 731.
DOI Link
1610
BibRef
Eva, H.[Hugh],
Carboni, S.[Silvia],
Achard, F.[Frederic],
Stach, N.[Nicolas],
Durieux, L.[Laurent],
Faure, J.F.[Jean-Francois],
Mollicone, D.[Danilo],
Monitoring forest areas from continental to territorial levels using a
sample of medium spatial resolution satellite imagery,
PandRS(65), No. 2, March 2010, pp. 191-197.
Elsevier DOI
1003
Forestry; Change detection; Sampling; Landsat; SPOT
BibRef
Eva, H.,
Achard, F.,
Beuchle, R.,
de Miranda, E.,
Carboni, S.,
Seliger, R.,
Vollmar, M.,
Holler, W.,
Oshiro, O.,
Barrena Arroyo, V.,
Gallego, J.,
Forest Cover Changes in Tropical South and Central America from 1990 to
2005 and Related Carbon Emissions and Removals,
RS(4), No. 5, May 2012, pp. 1369-1391.
DOI Link
1205
BibRef
Somers, B.,
Asner, G.,
Hyperspectral Time Series Analysis of Native and Invasive Species in
Hawaiian Rainforests,
RS(4), No. 9, September 2012, pp. 2510-2529.
DOI Link
1210
BibRef
Adhikari, S.,
Southworth, J.,
Simulating Forest Cover Changes of Bannerghatta National Park Based on
a CA-Markov Model: A Remote Sensing Approach,
RS(4), No. 10, October 2012, pp. 3215-3243.
DOI Link
1210
BibRef
Canavesi, V.,
Alvalá, R.,
Changes in Vegetation Cover in Reforested Areas in the State of São
Paulo, Brazil and the Implication for Landslide Processes,
IJGI(1), No. 2, 2012, pp. 209-227.
DOI Link
1210
BibRef
Frolking, S.,
Hagen, S.,
Milliman, T.,
Palace, M.,
Shimbo, J.Z.,
Fahnestock, M.,
Detection of Large-Scale Forest Canopy Change in Pan-Tropical Humid
Forests 2000-2009 With the SeaWinds Ku-Band Scatterometer,
GeoRS(50), No. 7, July 2012, pp. 2603-2617.
IEEE DOI
1208
BibRef
Bodart, C.[Catherine],
Eva, H.[Hugh],
Beuchle, R.[René],
Raši, R.[Rastislav],
Simonetti, D.[Dario],
Stibig, H.J.[Hans-Jürgen],
Brink, A.[Andreas],
Lindquist, E.[Erik],
Achard, F.[Frédéric],
Pre-processing of a sample of multi-scene and multi-date Landsat
imagery used to monitor forest cover changes over the tropics,
PandRS(66), No. 5, September 2011, pp. 555-563.
Elsevier DOI
1110
Forestry; Calibration; Matching; Landsat; Global
BibRef
Frate, L.,
Carranza, M.,
Quantifying Landscape-Scale Patterns of Temperate Forests over Time by
Means of Neutral Simulation Models,
IJGI(2), No. 1, 2013, pp. 94-109.
DOI Link
1303
BibRef
Giree, N.,
Stehman, S.,
Potapov, P.,
Hansen, M.,
A Sample-Based Forest Monitoring Strategy Using Landsat, AVHRR and
MODIS Data to Estimate Gross Forest Cover Loss in Malaysia between 1990
and 2005,
RS(5), No. 4, April 2013, pp. 1842-1855.
DOI Link
1305
BibRef
Tian, J.J.,
Reinartz, P.,
d'Angelo, P.,
Ehlers, M.,
Region-Based Automatic Building and Forest Change Detection on
Cartosat-1 Stereo Imagery,
PandRS(79), No. 1, May 2013, pp. 226-239.
Elsevier DOI
1305
Stereo imagery; Digital Surface Model (DSM); Change detection; Forest
change; Industrial area change
BibRef
d'Angelo, P.,
Kuschk, G.,
Reinartz, P.,
Evaluation of Skybox Video and Still Image products,
LandImaging14(95-99).
DOI Link
1411
BibRef
Tian, J.J.[Jiao-Jiao],
Cui, S.Y.[Shi-Yong],
Reinartz, P.,
Building Change Detection Based on Satellite Stereo Imagery and
Digital Surface Models,
GeoRS(52), No. 1, January 2014, pp. 406-417.
IEEE DOI
1402
feature extraction
BibRef
Mu, J.,
Cui, S.,
Reinartz, P.,
Building Detection Using Aerial Images and Digital Surface Models,
Hannover17(159-165).
DOI Link
1805
BibRef
Tian, J.J.,
Leitloff, J.,
Krauß, T.,
Reinartz, P.,
Region Based Forest Change Detection from CARTOSAT-1 Stereo Imagery,
HighRes11(xx-yy).
PDF File.
1106
See also Comparison of Two Fusion Based Building Change Detection Methods Using Satellite Stereo Imagery and DSMS.
BibRef
Solberg, S.[Svein],
Astrup, R.[Rasmus],
Weydahl, D.J.[Dan J.],
Detection of Forest Clear-Cuts with Shuttle Radar Topography Mission
(SRTM) and Tandem-X InSAR Data,
RS(5), No. 11, 2013, pp. 5449-5462.
DOI Link
1312
BibRef
Oumar, Z.[Zakariyyaa],
Mutanga, O.[Onisimo],
Integrating environmental variables and WorldView-2 image data to
improve the prediction and mapping of Thaumastocoris peregrinus
(bronze bug) damage in plantation forests,
PandRS(87), No. 1, 2014, pp. 39-46.
Elsevier DOI
1402
Thaumastocoris peregrinus
BibRef
Hamunyela, E.[Eliakim],
Verbesselt, J.[Jan],
Roerink, G.[Gerbert],
Herold, M.[Martin],
Trends in Spring Phenology of Western European Deciduous Forests,
RS(5), No. 12, 2013, pp. 6159-6179.
DOI Link
1412
BibRef
Abdel-Rahman, E.M.[Elfatih M.],
Mutanga, O.[Onisimo],
Adam, E.[Elhadi],
Ismail, R.[Riyad],
Detecting Sirex noctilio grey-attacked and lightning-struck pine
trees using airborne hyperspectral data, random forest and support
vector machines classifiers,
PandRS(88), No. 1, 2014, pp. 48-59.
Elsevier DOI
1402
Sirex grey stage
BibRef
Wang, Q.[Qian],
Zhang, L.F.[Li-Fu],
Wu, T.X.[Tai-Xia],
Cen, Y.[Yi],
Huang, C.P.[Chang-Ping],
Tong, Q.X.[Qing-Xi],
Evaluation of Multiple Spring Phenological Indicators of Yearly GPP
and NEP at Three Canadian Forest Sites,
RS(6), No. 3, 2014, pp. 1991-2007.
DOI Link
1404
BibRef
Tian, J.,
Nielsen, A.A.,
Reinartz, P.,
Improving Change Detection in Forest Areas Based on Stereo
Panchromatic Imagery Using Kernel MNF,
GeoRS(52), No. 11, November 2014, pp. 7130-7139.
IEEE DOI
1407
Accuracy
BibRef
Song, X.P.[Xiao-Peng],
Huang, C.Q.[Cheng-Quan],
Sexton, J.O.[Joseph O.],
Channan, S.[Saurabh],
Townshend, J.R.[John R.],
Annual Detection of Forest Cover Loss Using Time Series Satellite
Measurements of Percent Tree Cover,
RS(6), No. 9, 2014, pp. 8878-8903.
DOI Link
1410
BibRef
Zhu, X.L.[Xiao-Lin],
Liu, D.[Desheng],
Accurate Mapping of Forest Types Using Dense Seasonal Landsat
Time-Series,
PandRS(96), No. 1, 2014, pp. 1-11.
Elsevier DOI
1410
Forest types
See also Improving Forest Aboveground Biomass Estimation Using Seasonal Landsat NDVI Time-Series.
BibRef
Frate, L.[Ludovico],
Saura, S.[Santiago],
Minotti, M.[Michele],
Martino, P.D.[Paolo Di],
Giancola, C.[Carmen],
Carranza, M.L.[Maria Laura],
Quantifying Forest Spatial Pattern Trends at Multiple Extents:
An Approach to Detect Significant Changes at Different Scales,
RS(6), No. 10, 2014, pp. 9298-9315.
DOI Link
1411
BibRef
Liu, J.[Jia],
Rambal, S.[Serge],
Mouillot, F.[Florent],
Soil Drought Anomalies in MODIS GPP of a Mediterranean Broadleaved
Evergreen Forest,
RS(7), No. 1, 2015, pp. 1154-1180.
DOI Link
1502
BibRef
van Deventer, H.,
Cho, M.A.,
Mutanga, O.,
Ramoelo, A.,
Capability of models to predict leaf N and P across four seasons for
six sub-tropical forest evergreen trees,
PandRS(101), No. 1, 2015, pp. 209-220.
Elsevier DOI
1503
Foliar N and P
BibRef
Gao, T.[Tian],
Zhu, J.J.[Jiao-Jun],
Zheng, X.[Xiao],
Shang, G.[Guiduo],
Huang, L.Y.[Li-Yan],
Wu, S.R.[Shang-Rong],
Mapping Spatial Distribution of Larch Plantations from
Multi-Seasonal Landsat-8 OLI Imagery and Multi-Scale Textures Using
Random Forests,
RS(7), No. 2, 2015, pp. 1702-1720.
DOI Link
1503
BibRef
Song, D.X.[Dan-Xia],
Huang, C.Q.[Cheng-Quan],
Sexton, J.O.[Joseph O.],
Channan, S.[Saurabh],
Feng, M.[Min],
Townshend, J.R.[John R.],
Use of Landsat and Corona data for mapping forest cover change from
the mid-1960s to 2000s: Case studies from the Eastern United States
and Central Brazil,
PandRS(103), No. 1, 2015, pp. 81-92.
Elsevier DOI
1504
Corona
BibRef
Lui, G.V.[Gillian V.],
Coomes, D.A.[David A.],
A Comparison of Novel Optical Remote Sensing-Based Technologies for
Forest-Cover/Change Monitoring,
RS(7), No. 3, 2015, pp. 2781-2807.
DOI Link
1504
BibRef
Lambert, J.[Jonas],
Denux, J.P.[Jean-Philippe],
Verbesselt, J.[Jan],
Balent, G.[Gérard],
Cheret, V.[Véronique],
Detecting Clear-Cuts and Decreases in Forest Vitality Using MODIS
NDVI Time Series,
RS(7), No. 4, 2015, pp. 3588-3612.
DOI Link
1505
BibRef
Thonfeld, F.[Frank],
Hecheltjen, A.[Antje],
Menz, G.[Gunter],
Bi-temporal Change Detection, Change Trajectories and Time Series
Analysis for Forest Monitoring,
PFG(2015), No. 2, 2015, pp. 129-141.
DOI Link
1506
BibRef
Shimada, M.[Masanobu],
Itoh, T.[Takuya],
Motooka, T.[Takeshi],
Watanabe, M.[Manabu],
Thapa, R.[Rajesh],
High-resolution satellite radar for mapping changes in
global forest cover,
SPIE(Newsroom), June 5, 2015.
DOI Link
1507
Radar backscatter using L-band microwave frequencies from the Advanced
Land Observing Satellite enables the generation of maps of global
forest cover for 2007-2010.
BibRef
Wang, H.[Hong],
Zhao, Y.[Yu],
Pu, R.L.[Rui-Liang],
Zhang, Z.Z.[Zhen-Zhen],
Mapping Robinia Pseudoacacia Forest Health Conditions by Using
Combined Spectral, Spatial, and Textural Information Extracted from
IKONOS Imagery and Random Forest Classifier,
RS(7), No. 7, 2015, pp. 9020.
DOI Link
1506
BibRef
Duguay, Y.[Yannick],
Bernier, M.[Monique],
Lévesque, E.[Esther],
Tremblay, B.[Benoit],
Potential of C and X Band SAR for Shrub Growth Monitoring in
Sub-Arctic Environments,
RS(7), No. 7, 2015, pp. 9410.
DOI Link
1506
BibRef
Dutrieux, L.P.[Loïc Paul],
Verbesselt, J.[Jan],
Kooistra, L.[Lammert],
Herold, M.[Martin],
Monitoring forest cover loss using multiple data streams, a case
study of a tropical dry forest in Bolivia,
PandRS(107), No. 1, 2015, pp. 112-125.
Elsevier DOI
1508
Landsat
BibRef
Walker, J.[Jessica],
de Beurs, K.[Kirsten],
Wynne, R.H.[Randolph H.],
Phenological Response of an Arizona Dryland Forest to Short-Term
Climatic Extremes,
RS(7), No. 8, 2015, pp. 10832.
DOI Link
1509
BibRef
Dotzler, S.[Sandra],
Hill, J.[Joachim],
Buddenbaum, H.[Henning],
Stoffels, J.[Johannes],
The Potential of EnMAP and Sentinel-2 Data for Detecting Drought
Stress Phenomena in Deciduous Forest Communities,
RS(7), No. 10, 2015, pp. 14227.
DOI Link
1511
BibRef
Cao, S.[Sen],
Yu, Q.[Qiuyan],
Sanchez-Azofeifa, G.A.[G. Arturo],
Feng, J.[Jilu],
Rivard, B.[Benoit],
Gu, Z.[Zhujun],
Mapping tropical dry forest succession using multiple criteria
spectral mixture analysis,
PandRS(109), No. 1, 2015, pp. 17-29.
Elsevier DOI
1512
Secondary tropical dry forest
BibRef
Tortini, R.[Riccardo],
Mayer, A.L.[Audrey L.],
Maianti, P.[Pieralberto],
Using an OBCD Approach and Landsat TM Data to Detect Harvesting on
Nonindustrial Private Property in Upper Michigan,
RS(7), No. 6, 2015, pp. 7809.
DOI Link
1507
BibRef
Wang, X.Y.[Xiao-Yi],
Huang, H.B.[Hua-Bing],
Gong, P.[Peng],
Biging, G.S.[Gregory S.],
Xin, Q.C.[Qin-Chuan],
Chen, Y.[Yanlei],
Yang, J.[Jun],
Liu, C.X.[Cai-Xia],
Quantifying Multi-Decadal Change of Planted Forest Cover Using
Airborne LiDAR and Landsat Imagery,
RS(8), No. 1, 2016, pp. 62.
DOI Link
1602
BibRef
Coops, N.C.[Nicholas C.],
Waring, R.H.[Richard H.],
Plowright, A.[Andrew],
Lee, J.[Joanna],
Dilts, T.E.[Thomas E.],
Using Remotely-Sensed Land Cover and Distribution Modeling to
Estimate Tree Species Migration in the Pacific Northwest Region of
North America,
RS(8), No. 1, 2016, pp. 65.
DOI Link
1602
BibRef
Mišurec, J.[Jan],
Kopacková, V.[Veronika],
Lhotáková, Z.[Zuzana],
Campbell, P.[Petya],
Albrechtová, J.[Jana],
Detection of Spatio-Temporal Changes of Norway Spruce Forest Stands
in Ore Mountains Using Landsat Time Series and Airborne Hyperspectral
Imagery,
RS(8), No. 2, 2016, pp. 92.
DOI Link
1603
BibRef
Jjumba, A.[Anthony],
Dragicevic, S.[Suzana],
Towards a voxel-based geographic automata for the simulation of
geospatial processes,
PandRS(117), No. 1, 2016, pp. 206-216.
Elsevier DOI
1605
Voxel
BibRef
Zeng, H.C.[Hong-Cheng],
Lu, T.[Tao],
Jenkins, H.[Hillary],
Negrón-Juárez, R.I.[Robinson I.],
Xu, J.[Jiceng],
Assessing Earthquake-Induced Tree Mortality in Temperate Forest
Ecosystems: A Case Study from Wenchuan, China,
RS(8), No. 3, 2016, pp. 252.
DOI Link
1604
BibRef
Bi, J.[Jian],
Myneni, R.[Ranga],
Lyapustin, A.[Alexei],
Wang, Y.J.[Yu-Jie],
Park, T.[Taejin],
Chi, C.[Chen],
Yan, K.[Kai],
Knyazikhin, Y.[Yuri],
Amazon Forests' Response to Droughts:
A Perspective from the MAIAC Product,
RS(8), No. 4, 2016, pp. 356.
DOI Link
1604
BibRef
Ningthoujam, R.K.[Ramesh K.],
Tansey, K.[Kevin],
Balzter, H.[Heiko],
Morrison, K.[Keith],
Johnson, S.C.M.[Sarah C. M.],
Gerard, F.[France],
George, C.[Charles],
Burbidge, G.[Geoff],
Doody, S.[Sam],
Veck, N.[Nick],
Llewellyn, G.M.[Gary M.],
Blythe, T.[Thomas],
Mapping Forest Cover and Forest Cover Change with Airborne S-Band
Radar,
RS(8), No. 7, 2016, pp. 577.
DOI Link
1608
BibRef
Hernández-Clemente, R.,
Kolari, P.,
Porcar-Castell, A.,
Korhonen, L.,
Mõttus, M.,
Tracking the Seasonal Dynamics of Boreal Forest Photosynthesis Using
EO-1 Hyperion Reflectance:
Sensitivity to Structural and Illumination Effects,
GeoRS(54), No. 9, September 2016, pp. 5105-5116.
IEEE DOI
1609
forestry
BibRef
Lindquist, E.J.[Erik J.],
d'Annunzio, R.[Rémi],
Assessing Global Forest Land-Use Change by Object-Based Image
Analysis,
RS(8), No. 8, 2016, pp. 678.
DOI Link
1609
BibRef
Grogan, K.[Kenneth],
Pflugmacher, D.[Dirk],
Hostert, P.[Patrick],
Verbesselt, J.[Jan],
Fensholt, R.[Rasmus],
Mapping Clearances in Tropical Dry Forests Using Breakpoints, Trend,
and Seasonal Components from MODIS Time Series: Does Forest Type
Matter?,
RS(8), No. 8, 2016, pp. 657.
DOI Link
1609
BibRef
Lewinska, K.E.[Katarzyna Ewa],
Ivits, E.[Eva],
Schardt, M.[Mathias],
Zebisch, M.[Marc],
Alpine Forest Drought Monitoring in South Tyrol: PCA Based Synergy
between scPDSI Data and MODIS Derived NDVI and NDII7 Time Series,
RS(8), No. 8, 2016, pp. 639.
DOI Link
1609
BibRef
Luo, H.[Hui],
Zhou, T.[Tao],
Wu, H.[Hao],
Zhao, X.[Xiang],
Wang, Q.F.[Qian-Feng],
Gao, S.[Shan],
Li, Z.[Zheng],
Contrasting Responses of Planted and Natural Forests to Drought
Intensity in Yunnan, China,
RS(8), No. 8, 2016, pp. 635.
DOI Link
1609
BibRef
Wingate, V.R.[Vladimir R.],
Phinn, S.R.[Stuart R.],
Kuhn, N.[Nikolaus],
Bloemertz, L.[Lena],
Dhanjal-Adams, K.L.[Kiran L.],
Mapping Decadal Land Cover Changes in the Woodlands of North Eastern
Namibia from 1975 to 2014 Using the Landsat Satellite Archived Data,
RS(8), No. 8, 2016, pp. 681.
DOI Link
1609
BibRef
Fujiki, S.[Shogoro],
Okada, K.I.[Kei-Ichi],
Nishio, S.[Shogo],
Kitayama, K.[Kanehiro],
Estimation of the stand ages of tropical secondary forests after
shifting cultivation based on the combination of WorldView-2 and
time-series Landsat images,
PandRS(119), No. 1, 2016, pp. 280-293.
Elsevier DOI
1610
Object-based image analysis
BibRef
Tarantino, C.[Cristina],
Lovergine, F.[Francesco],
Niphadkar, M.[Madhura],
Lucas, R.[Richard],
Nativi, S.[Stefano],
Blonda, P.[Palma],
Towards Operational Detection of Forest Ecosystem Changes in
Protected Areas,
RS(8), No. 10, 2016, pp. 850.
DOI Link
1609
BibRef
Qin, Y.W.[Yuan-Wei],
Xiao, X.M.[Xiang-Ming],
Wang, J.[Jie],
Dong, J.[Jinwei],
Ewing, K.[Kayti],
Hoagland, B.[Bruce],
Hough, D.J.[Daniel J.],
Fagin, T.D.[Todd D.],
Zou, Z.H.[Zhen-Hua],
Geissler, G.L.[George L.],
Xian, G.Z.[George Z.],
Loveland, T.R.[Thomas R.],
Mapping Annual Forest Cover in Sub-Humid and Semi-Arid Regions
through Analysis of Landsat and PALSAR Imagery,
RS(8), No. 11, 2016, pp. 933.
DOI Link
1612
BibRef
Lausch, A.[Angela],
Erasmi, S.[Stefan],
King, D.J.[Douglas J.],
Magdon, P.[Paul],
Heurich, M.[Marco],
Understanding Forest Health with Remote Sensing -Part I: A Review of
Spectral Traits, Processes and Remote-Sensing Characteristics,
RS(8), No. 12, 2016, pp. 1029.
DOI Link
1612
BibRef
And:
Understanding Forest Health with Remote Sensing-Part II:
A Review of Approaches and Data Models,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link
1703
BibRef
Liu, Z.H.[Zhi-Hua],
Wimberly, M.C.[Michael C.],
Dwomoh, F.K.[Francis K.],
Vegetation Dynamics in the Upper Guinean Forest Region of West Africa
from 2001 to 2015,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link
1702
BibRef
Dwomoh, F.K.[Francis K.],
Wimberly, M.C.[Michael C.],
Fire Regimes and Their Drivers in the Upper Guinean Region of West
Africa,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Santos, F.[Fabián],
Dubovyk, O.[Olena],
Menz, G.[Gunter],
Monitoring Forest Dynamics in the Andean Amazon: The Applicability of
Breakpoint Detection Methods Using Landsat Time-Series and Genetic
Algorithms,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link
1702
BibRef
Ulsig, L.[Laura],
Nichol, C.J.[Caroline J.],
Huemmrich, K.F.[Karl F.],
Landis, D.R.[David R.],
Middleton, E.M.[Elizabeth M.],
Lyapustin, A.I.[Alexei I.],
Mammarella, I.[Ivan],
Levula, J.[Janne],
Porcar-Castell, A.[Albert],
Detecting Inter-Annual Variations in the Phenology of Evergreen
Conifers Using Long-Term MODIS Vegetation Index Time Series,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link
1702
BibRef
Tian, J.J.[Jiao-Jiao],
Schneider, T.[Thomas],
Straub, C.[Christoph],
Kugler, F.[Florian],
Reinartz, P.[Peter],
Exploring Digital Surface Models from Nine Different Sensors for
Forest Monitoring and Change Detection,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link
1704
BibRef
Hird, J.N.[Jennifer N.],
Montaghi, A.[Alessandro],
McDermid, G.J.[Gregory J.],
Kariyeva, J.[Jahan],
Moorman, B.J.[Brian J.],
Nielsen, S.E.[Scott E.],
McIntosh, A.C.S.[Anne C. S.],
Use of Unmanned Aerial Vehicles for Monitoring Recovery of Forest
Vegetation on Petroleum Well Sites,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link
1706
BibRef
Springer, K.R.[Kyle R.],
Wang, R.[Ran],
Gamon, J.A.[John A.],
Parallel Seasonal Patterns of Photosynthesis, Fluorescence, and
Reflectance Indices in Boreal Trees,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Sothe, C.[Camile],
de Almeida, C.M.[Cláudia Maria],
Liesenberg, V.[Veraldo],
Schimalski, M.B.[Marcos Benedito],
Evaluating Sentinel-2 and Landsat-8 Data to Map Sucessional Forest
Stages in a Subtropical Forest in Southern Brazil,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Dash, J.P.[Jonathan P.],
Watt, M.S.[Michael S.],
Pearse, G.D.[Grant D.],
Heaphy, M.[Marie],
Dungey, H.S.[Heidi S.],
Assessing very high resolution UAV imagery for monitoring forest
health during a simulated disease outbreak,
PandRS(131), No. 1, 2017, pp. 1-14.
Elsevier DOI
1709
UAV
BibRef
Khan, S.H.,
He, X.,
Porikli, F.M.[Fatih Murat],
Bennamoun, M.,
Forest Change Detection in Incomplete Satellite Images With Deep
Neural Networks,
GeoRS(55), No. 9, September 2017, pp. 5407-5423.
IEEE DOI
1709
geomorphology, geophysical image processing,
image classification, land cover, vegetation mapping,
deep neural networks, disaster management,
environmental planning, forest change detection,
incomplete satellite images, land cover change monitoring,
surface reflectance information, Clouds,
Spatial resolution,
Change detection, deep learning,
multitemporal spectral data,
BibRef
Smigaj, M.[Magdalena],
Gaulton, R.[Rachel],
Suárez, J.C.[Juan C.],
Barr, S.L.[Stuart L.],
Use of Miniature Thermal Cameras for Detection of Physiological
Stress in Conifers,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Earlier: A1, A2, A4, A3:
UAV-Borne Thermal Imaging for Forest Health Monitoring:
Detection of Disease-Induced Canopy Temperature Increase,
GeoUAV15(349-354).
DOI Link
1602
BibRef
Zhou, W.Q.[Wei-Qi],
Zhang, S.[Sai],
Yu, W.J.[Wen-Juan],
Wang, J.[Jing],
Wang, W.M.[Wei-Min],
Effects of Urban Expansion on Forest Loss and Fragmentation in Six
Megaregions, China,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Mulatu, K.A.[Kalkidan Ayele],
Mora, B.[Brice],
Kooistra, L.[Lammert],
Herold, M.[Martin],
Biodiversity Monitoring in Changing Tropical Forests:
A Review of Approaches and New Opportunities,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Qiu, B.W.[Bing-Wen],
Chen, G.[Gong],
Tang, Z.H.[Zheng-Hong],
Lu, D.F.[Di-Fei],
Wang, Z.Z.[Zhuang-Zhuang],
Chen, C.C.[Chong-Chen],
Assessing the Three-North Shelter Forest Program in China by a novel
framework for characterizing vegetation changes,
PandRS(133), No. Supplement C, 2017, pp. 75-88.
Elsevier DOI
1711
Temporal similarity trajectory, Jeffries-Matusita distance,
Three-North Shelter Forest Program (TNSFP), Vegetation trend,
BibRef
Byer, S.[Sarah],
Jin, Y.F.[Yu-Fang],
Detecting Drought-Induced Tree Mortality in Sierra Nevada Forests
with Time Series of Satellite Data,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Pádua, L.[Luís],
Hruška, J.[Jonáš],
Bessa, J.[José],
Adão, T.[Telmo],
Martins, L.M.[Luís M.],
Gonçalves, J.A.[José A.],
Peres, E.[Emanuel],
Sousa, A.M.R.[António M. R.],
Castro, J.P.[João P.],
Sousa, J.J.[Joaquim J.],
Multi-Temporal Analysis of Forestry and Coastal Environments Using
UASs,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link
1802
BibRef
Rüetschi, M.[Marius],
Schaepman, M.E.[Michael E.],
Small, D.[David],
Using Multitemporal Sentinel-1 C-band Backscatter to Monitor
Phenology and Classify Deciduous and Coniferous Forests in Northern
Switzerland,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link
1802
BibRef
House, M.N.[Matthew N.],
Wynne, R.H.[Randolph H.],
Identifying Forest Impacted by Development in the Commonwealth of
Virginia through the Use of Landsat and Known Change Indicators,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link
1802
BibRef
Cazcarra-Bes, V.[Victor],
Tello-Alonso, M.[Maria],
Fischer, R.[Rico],
Heym, M.[Michael],
Papathanassiou, K.[Konstantinos],
Monitoring of Forest Structure Dynamics by Means of L-Band SAR
Tomography,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link
1802
BibRef
Zhang, L.J.[Li-Juan],
Pan, T.[Tao],
Zhang, H.W.[Hong-Wen],
Li, X.X.[Xia-Xiang],
Jiang, L.Q.[Lan-Qi],
The Effects of Forest Area Changes on Extreme Temperature Indexes
between the 1900s and 2010s in Heilongjiang Province, China,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link
1802
BibRef
Wilson, B.T.[Barry T.],
Knight, J.F.[Joseph F.],
McRoberts, R.E.[Ronald E.],
Harmonic regression of Landsat time series for modeling attributes
from national forest inventory data,
PandRS(137), 2018, pp. 29-46.
Elsevier DOI
1802
Landsat time series, Image compositing, Harmonic regression,
National forest inventory, Regression models, Classification models
BibRef
Zarco-Tejada, P.J.,
Hornero, A.,
Hernández-Clemente, R.,
Beck, P.S.A.,
Understanding the temporal dimension of the red-edge spectral region
for forest decline detection using high-resolution hyperspectral and
Sentinel-2a imagery,
PandRS(137), 2018, pp. 134-148.
Elsevier DOI
1802
Hyperspectral, Red edge, Forest decline, Chlorophyll,
Sentinel-2a, Radiative transfer
BibRef
Solberg, S.[Svein],
May, J.[Johannes],
Bogren, W.[Wiley],
Breidenbach, J.[Johannes],
Torp, T.[Torfinn],
Gizachew, B.[Belachew],
Interferometric SAR DEMs for Forest Change in Uganda 2000-2012,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Tompalski, P.[Piotr],
Coops, N.C.[Nicholas C.],
Marshall, P.L.[Peter L.],
White, J.C.[Joanne C.],
Wulder, M.A.[Michael A.],
Bailey, T.[Todd],
Combining Multi-Date Airborne Laser Scanning and Digital Aerial
Photogrammetric Data for Forest Growth and Yield Modelling,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
See also Comment on Tompalski et al. Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling. Remote Sens. 2018, 10, 347.
BibRef
Tompalski, P.[Piotr],
Coops, N.C.[Nicholas C.],
Marshall, P.L.[Peter L.],
White, J.C.[Joanne C.],
Wulder, M.A.[Michael A.],
Bailey, T.[Todd],
Reply to Vauhkonen: Comment on Tompalski et al. Combining Multi-Date
Airborne Laser Scanning and Digital Aerial Photogrammetric Data for
Forest Growth and Yield Modelling. Remote Sens. 2018, 10, 347,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
See also Comment on Tompalski et al. Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling. Remote Sens. 2018, 10, 347.
See also Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling.
BibRef
Vauhkonen, J.[Jari],
Comment on Tompalski et al. Combining Multi-Date Airborne Laser
Scanning and Digital Aerial Photogrammetric Data for Forest Growth
and Yield Modelling. Remote Sens. 2018, 10, 347,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
See also Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling.
See also Reply to Vauhkonen: Comment on Tompalski et al. Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling. Remote Sens. 2018, 10, 347.
BibRef
Zhu, C.H.[Cheng-Hao],
Zhang, X.L.[Xiao-Li],
Zhang, N.[Ning],
Hassan, M.A.[Mohammed Abdelmanan],
Zhao, L.[Lin],
Assessing the Defoliation of Pine Forests in a Long Time-Series and
Spatiotemporal Prediction of the Defoliation Using Landsat Data,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Asner, G.P.[Gregory P.],
Martin, R.E.[Roberta E.],
Keith, L.M.[Lisa M.],
Heller, W.P.[Wade P.],
Hughes, M.A.[Marc A.],
Vaughn, N.R.[Nicholas R.],
Hughes, R.F.[R. Flint],
Balzotti, C.[Christopher],
A Spectral Mapping Signature for the Rapid Ohia Death (ROD) Pathogen
in Hawaiian Forests,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Melendy, L.,
Hagen, S.C.,
Sullivan, F.B.,
Pearson, T.R.H.,
Walker, S.M.,
Ellis, P.,
Kustiyo,
Sambodo, A.K.[Ari Katmoko],
Roswintiarti, O.,
Hanson, M.A.,
Klassen, A.W.,
Palace, M.W.,
Braswell, B.H.,
Delgado, G.M.,
Automated method for measuring the extent of selective logging damage
with airborne LiDAR data,
PandRS(139), 2018, pp. 228-240.
Elsevier DOI
1804
Lidar, Selective logging, Tropical forest monitoring, REDD+,
Automated logging algorithm, Kalimantan, Indonesia,
Reduced impact logging (RIL)
BibRef
Langner, A.[Andreas],
Miettinen, J.[Jukka],
Vaughn, N.R.[Nicholas R.],
Asner, G.P.[Gregory P.],
Brodrick, P.G.[Philip G.],
Martin, R.E.[Roberta E.],
Heckler, J.W.[Joseph W.],
Knapp, D.E.[David E.],
Hughes, R.F.[R. Flint],
An Approach for High-Resolution Mapping of Hawaiian Metrosideros
Forest Mortality Using Laser-Guided Imaging Spectroscopy,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Hruza, P.[Petr],
Mikita, T.[Tomáš],
Tyagur, N.[Nataliya],
Krejza, Z.[Zdenek],
Cibulka, M.[Miloš],
Procházková, A.[Andrea],
Patocka, Z.[Zdenek],
Detecting Forest Road Wearing Course Damage Using Different Methods
of Remote Sensing,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Silveira, E.M.O.[Eduarda M. O.],
Bueno, I.T.[Inácio T.],
Acerbi-Junior, F.W.[Fausto W.],
Mello, J.M.[José M.],
Scolforo, J.R.S.[José Roberto S.],
Wulder, M.A.[Michael A.],
Using Spatial Features to Reduce the Impact of Seasonality for
Detecting Tropical Forest Changes from Landsat Time Series,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Goodbody, T.R.H.[Tristan R.H.],
Coops, N.C.[Nicholas C.],
Hermosilla, T.[Txomin],
Tompalski, P.[Piotr],
McCartney, G.[Grant],
MacLean, D.A.[David A.],
Digital aerial photogrammetry for assessing cumulative spruce budworm
defoliation and enhancing forest inventories at a landscape-level,
PandRS(142), 2018, pp. 1-11.
Elsevier DOI
1807
Digital aerial photogrammetry, Forest monitoring,
Spruce budworm, Cumulative defoliation,
Partial least squares
BibRef
Lin, C.S.[Chin-Su],
Chen, S.Y.[Shih-Yu],
Chen, C.C.[Chia-Chun],
Tai, C.H.[Chia-Huei],
Detecting newly grown tree leaves from unmanned-aerial-vehicle images
using hyperspectral target detection techniques,
PandRS(142), 2018, pp. 174-189.
Elsevier DOI
1807
Phenological events, New foliage detection, Anomaly detection,
Tree growth, Climate change
BibRef
Chen, S.Y.[Shih-Yu],
Lin, C.S.[Chin-Su],
Chuang, S.J.[Shang-Ju],
Kao, Z.Y.[Zhe-Yuan],
Weighted Background Suppression Target Detection Using Sparse Image
Enhancement Technique for Newly Grown Tree Leaves,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Lausch, A.[Angela],
Borg, E.[Erik],
Bumberger, J.[Jan],
Dietrich, P.[Peter],
Heurich, M.[Marco],
Huth, A.[Andreas],
Jung, A.[András],
Klenke, R.[Reinhard],
Knapp, S.[Sonja],
Mollenhauer, H.[Hannes],
Paasche, H.[Hendrik],
Paulheim, H.[Heiko],
Pause, M.[Marion],
Schweitzer, C.[Christian],
Schmulius, C.[Christiane],
Settele, J.[Josef],
Skidmore, A.K.[Andrew K.],
Wegmann, M.[Martin],
Zacharias, S.[Steffen],
Kirsten, T.[Toralf],
Schaepman, M.E.[Michael E.],
Understanding Forest Health with Remote Sensing, Part III:
Requirements for a Scalable Multi-Source Forest Health Monitoring
Network Based on Data Science Approaches,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Kobayashi, H.[Hideki],
Nagai, S.[Shin],
Kim, Y.[Yongwon],
Yang, W.[Wei],
Ikeda, K.[Kyoko],
Ikawa, H.[Hiroki],
Nagano, H.[Hirohiko],
Suzuki, R.[Rikie],
In Situ Observations Reveal How Spectral Reflectance Responds to
Growing Season Phenology of an Open Evergreen Forest in Alaska,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Morrison, J.[Jacqueline],
Higginbottom, T.P.[Thomas P.],
Symeonakis, E.[Elias],
Jones, M.J.[Martin J.],
Omengo, F.[Fred],
Walker, S.L.[Susan L.],
Cain, B.[Bradley],
Detecting Vegetation Change in Response to Confining Elephants in
Forests Using MODIS Time-Series and BFAST,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Mõttus, M.[Matti],
Hernández-Clemente, R.[Rocío],
Perheentupa, V.[Viljami],
Markiet, V.[Vincent],
Aalto, J.H.[Ju-Ho],
Bäck, J.[Jaana],
Nichol, C.J.[Caroline J.],
Measurement of Diurnal Variation in Needle PRI and Shoot
Photosynthesis in a Boreal Forest,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
And:
Correction:
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Li, L.[Le],
Zhao, Y.L.[Yao-Long],
Fu, Y.C.[Ying-Chun],
Xin, Q.C.[Qin-Chuan],
Satellite-Based Models Need Improvements on Simulating Annual Gross
Primary Productivity: A Comparison of Six Models for Regional
Modeling of Deciduous Broadleaf Forests,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Kranz, O.[Olaf],
Schoepfer, E.[Elisabeth],
Tegtmeyer, R.[Reiner],
Lang, S.[Stefan],
Earth observation based multi-scale assessment of logging activities
in the Democratic Republic of the Congo,
PandRS(144), 2018, pp. 254-267.
Elsevier DOI
1809
Multi-scale assessment, Logging, Conflict resources,
Pixel-based change detection, Object-based change detection
BibRef
Yuan, H.H.[Huan-Huan],
Wu, C.Y.[Chao-Yang],
Lu, L.L.[Lin-Lin],
Wang, X.Y.[Xiao-Yue],
A new algorithm predicting the end of growth at five evergreen
conifer forests based on nighttime temperature and the enhanced
vegetation index,
PandRS(144), 2018, pp. 390-399.
Elsevier DOI
1809
Phenology, Evergreen conifer forests, T, T, NDVI/EVI
BibRef
Luo, Y.P.[Yun-Peng],
El-Madany, T.S.[Tarek S.],
Filippa, G.[Gianluca],
Ma, X.L.[Xuan-Long],
Ahrens, B.[Bernhard],
Carrara, A.[Arnaud],
Gonzalez-Cascon, R.[Rosario],
Cremonese, E.[Edoardo],
Galvagno, M.[Marta],
Hammer, T.W.[Tiana W.],
Pacheco-Labrador, J.[Javier],
Martín, M.P.[M. Pilar],
Moreno, G.[Gerardo],
Perez-Priego, O.[Oscar],
Reichstein, M.[Markus],
Richardson, A.D.[Andrew D.],
Römermann, C.[Christine],
Migliavacca, M.[Mirco],
Using Near-Infrared-Enabled Digital Repeat Photography to Track
Structural and Physiological Phenology in Mediterranean Tree-Grass
Ecosystems,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
And:
Correction:
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Dash, J.P.[Jonathan P.],
Pearse, G.D.[Grant D.],
Watt, M.S.[Michael S.],
UAV Multispectral Imagery Can Complement Satellite Data for
Monitoring Forest Health,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Guo, J.[Jing],
Gong, P.[Peng],
The Potential of Spectral Indices in Detecting Various Stages of
Afforestation over the Loess Plateau Region of China,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Santos, M.J.[Maria J.],
Disney, M.[Mathias],
Chave, J.[Jérôme],
Detecting Human Presence and Influence on Neotropical Forests with
Remote Sensing,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
BibRef
Rybakov, G.[Georgy],
Peuhkurinen, J.[Jussi],
Latva-Käyrä, P.[Petri],
Villikka, M.[Maria],
Sirparanta, S.[Sanna],
Kolesnikov, A.[Alexander],
Junttila, V.[Virpi],
Kauranne, T.[Tuomo],
Combining Camera Relascope-Measured Field Plots and Multi-Seasonal
Landsat 8 Imagery for Enhancing the Forest Inventory of Boreal
Forests in Central Russia,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Berveglieri, A.[Adilson],
Imai, N.N.[Nilton N.],
Tommaselli, A.M.G.[Antonio M.G.],
Casagrande, B.[Baltazar],
Honkavaara, E.[Eija],
Successional stages and their evolution in tropical forests using
multi-temporal photogrammetric surface models and superpixels,
PandRS(146), 2018, pp. 548-558.
Elsevier DOI
1812
DSM, Forest classification, Forest succession,
Temporal superpixel, Segmentation
BibRef
McCarthy, M.J.[Matthew J.],
Dimmitt, B.[Benjamin],
Muller-Karger, F.E.[Frank E.],
Rapid Coastal Forest Decline in Florida's Big Bend,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Honeck, E.[Erica],
Castello, R.[Roberto],
Chatenoux, B.[Bruno],
Richard, J.P.[Jean-Philippe],
Lehmann, A.[Anthony],
Giuliani, G.[Gregory],
From a Vegetation Index to a Sustainable Development Goal Indicator:
Forest Trend Monitoring Using Three Decades of Earth Observations
across Switzerland,
IJGI(7), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Garcia-Millan, V.E.[Virginia E.],
Sanchez-Azofeifa, G.A.[G. Arturo],
Quantifying Changes on Forest Succession in a Dry Tropical Forest
Using Angular-Hyperspectral Remote Sensing,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Haro-Carrión, X.[Xavier],
Southworth, J.[Jane],
Understanding Land Cover Change in a Fragmented Forest Landscape in a
Biodiversity Hotspot of Coastal Ecuador,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Moreno, A.[Adam],
Neumann, M.[Mathias],
Mohebalian, P.M.[Phillip M.],
Thurnher, C.[Christopher],
Hasenauer, H.[Hubert],
The Continental Impact of European Forest Conservation Policy and
Management on Productivity Stability,
RS(11), No. 1, 2019, pp. xx-yy.
DOI Link
1901
BibRef
Bai, B.X.[Bing-Xin],
Tan, Y.M.[Yu-Min],
Guo, D.[Dong],
Xu, B.[Bo],
Dynamic Monitoring of Forest Land in Fuling District Based on
Multi-Source Time Series Remote Sensing Images,
IJGI(8), No. 1, 2019, pp. xx-yy.
DOI Link
1901
BibRef
Burke, M.W.V.[Morgen W.V.],
Rundquist, B.C.[Bradley C.],
Zheng, H.C.[Hao-Chi],
Detection of Shelterbelt Density Change Using Historic APFO and NAIP
Aerial Imagery,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
Evaluate changes in windbreaks.
BibRef
Watt, M.S.[Michael S.],
Pearse, G.D.[Grant D.],
Dash, J.P.[Jonathan P.],
Melia, N.[Nathanael],
Leonardo, E.M.C.[Ellen Mae C.],
Application of remote sensing technologies to identify impacts of
nutritional deficiencies on forests,
PandRS(149), 2019, pp. 226-241.
Elsevier DOI
1903
ALS, Aerial laser scanning, Hyperspectral, Light detection and ranging
BibRef
Shen, W.J.[Wen-Juan],
Li, M.[Mingshi],
Huang, C.Q.[Cheng-Quan],
Tao, X.[Xin],
Li, S.[Shu],
Wei, A.[Anshi],
Mapping Annual Forest Change Due to Afforestation in Guangdong
Province of China Using Active and Passive Remote Sensing Data,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Tomppo, E.[Erkki],
Antropov, O.[Oleg],
Praks, J.[Jaan],
Boreal Forest Snow Damage Mapping Using Multi-Temporal Sentinel-1
Data,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Marshak, C.[Charlie],
Simard, M.[Marc],
Denbina, M.[Michael],
Monitoring Forest Loss in ALOS/PALSAR Time-Series with Superpixels,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Pinagé, E.R.[Ekena Rangel],
Keller, M.[Michael],
Duffy, P.[Paul],
Longo, M.[Marcos],
dos-Santos, M.N.[Maiza Nara],
Morton, D.C.[Douglas C.],
Long-Term Impacts of Selective Logging on Amazon Forest Dynamics from
Multi-Temporal Airborne LiDAR,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Rossi, F.[Fernando],
Breidenbach, J.[Johannes],
Puliti, S.[Stefano],
Astrup, R.[Rasmus],
Talbot, B.[Bruce],
Assessing Harvested Sites in a Forested Boreal Mountain Catchment
through Global Forest Watch,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Voight, C.[Carly],
Hernandez-Aguilar, K.[Karla],
Garcia, C.[Christina],
Gutierrez, S.[Said],
Predictive Modeling of Future Forest Cover Change Patterns in
Southern Belize,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Dalagnol, R.[Ricardo],
Phillips, O.L.[Oliver L.],
Gloor, E.[Emanuel],
Galvão, L.S.[Lênio S.],
Wagner, F.H.[Fabien H.],
Locks, C.J.[Charton J.],
Aragão, L.E.O.C.[Luiz E. O. C.],
Quantifying Canopy Tree Loss and Gap Recovery in Tropical Forests
under Low-Intensity Logging Using VHR Satellite Imagery and Airborne
LiDAR,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Chen, B.[Bin],
Jin, Y.F.[Yu-Fang],
Brown, P.[Patrick],
Automatic mapping of planting year for tree crops with Landsat
satellite time series stacks,
PandRS(151), 2019, pp. 176-188.
Elsevier DOI
1904
Planting year, Time series analysis, NDVI, Google Earth Engine,
Crop dynamics, Change detection, California
BibRef
Lima, T.A.[Thaís Almeida],
Beuchle, R.[René],
Langner, A.[Andreas],
Grecchi, R.C.[Rosana Cristina],
Griess, V.C.[Verena C.],
Achard, F.[Frédéric],
Comparing Sentinel-2 MSI and Landsat 8 OLI Imagery for Monitoring
Selective Logging in the Brazilian Amazon,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Pérez-Romero, J.[Javier],
Navarro-Cerrillo, R.M.[Rafael María],
Palacios-Rodriguez, G.[Guillermo],
Acosta, C.[Cristina],
Mesas-Carrascosa, F.J.[Francisco Javier],
Improvement of Remote Sensing-Based Assessment of Defoliation of
Pinus spp. Caused by Thaumetopoea pityocampa Denis and Schiffermüller
and Related Environmental Drivers in Southeastern Spain,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Mi, J.X.[Jia-Xin],
Yang, Y.J.[Yong-Jun],
Zhang, S.L.[Shao-Liang],
An, S.[Shi],
Hou, H.P.[Hu-Ping],
Hua, Y.F.[Yi-Fei],
Chen, F.[Fuyao],
Tracking the Land Use/Land Cover Change in an Area with Underground
Mining and Reforestation via Continuous Landsat Classification,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Trujillo-Toro, J.[Jesus],
Navarro-Cerrillo, R.M.[Rafael M.],
Analysis of Site-dependent Pinus halepensis Mill. Defoliation Caused
by 'Candidatus Phytoplasma pini' through Shape Selection in Landsat
Time Series,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Shimizu, K.[Katsuto],
Ota, T.[Tetsuji],
Mizoue, N.[Nobuya],
Detecting Forest Changes Using Dense Landsat 8 and Sentinel-1 Time
Series Data in Tropical Seasonal Forests,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Gebru, B.M.[Belay Manjur],
Lee, W.K.[Woo-Kyun],
Khamzina, A.[Asia],
Lee, S.G.[Sle-Gee],
Negash, E.[Emnet],
Hydrological Response of Dry Afromontane Forest to Changes in Land
Use and Land Cover in Northern Ethiopia,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Hamdi, Z.M.[Zayd Mahmoud],
Brandmeier, M.[Melanie],
Straub, C.[Christoph],
Forest Damage Assessment Using Deep Learning on High Resolution
Remote Sensing Data,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Anwander, J.[Julia],
Brandmeier, M.[Melanie],
Paczkowski, S.[Sebastian],
Neubert, T.[Tarek],
Paczkowska, M.[Marta],
Evaluating Different Deep Learning Approaches for Tree Health
Classification Using High-Resolution Multispectral UAV Data in the
Black Forest, Harz Region, and Gottinger Forest,
RS(16), No. 3, 2024, pp. 561.
DOI Link
2402
BibRef
Noordermeer, L.[Lennart],
Økseter, R.[Roar],
Ørka, H.O.[Hans Ole],
Gobakken, T.[Terje],
Næsset, E.[Erik],
Bollandsås, O.M.[Ole Martin],
Classifications of Forest Change by Using Bitemporal Airborne Laser
Scanner Data,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Salamanca, A.J.A.[Antonio Jesús Ariza],
Navarro-Cerrillo, R.M.[Rafael María],
Bonet-García, F.J.[Francisco J.],
Pérez-Palazón, M.J.[Ma José],
Polo, M.J.[María J.],
Integration of a Landsat Time-Series of NBR and Hydrological Modeling
to Assess Pinus pinaster Aiton. Forest Defoliation in South-Eastern
Spain,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Bozek, P.[Piotr],
Janus, J.[Jaroslaw],
Mitka, B.[Bartosz],
Analysis of Changes in Forest Structure using Point Clouds from
Historical Aerial Photographs,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Dorji, Y.[Yonten],
Annighöfer, P.[Peter],
Ammer, C.[Christian],
Seidel, D.[Dominik],
Response of Beech (Fagus sylvatica L.) Trees to Competition: New
Insights from Using Fractal Analysis,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link
1911
BibRef
Khare, S.[Siddhartha],
Drolet, G.[Guillaume],
Sylvain, J.D.[Jean-Daniel],
Paré, M.C.[Maxime Charles],
Rossi, S.[Sergio],
Assessment of Spatio-Temporal Patterns of Black Spruce Bud Phenology
across Quebec Based on MODIS-NDVI Time Series and Field Observations,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Haarpaintner, J.[Jörg],
Hindberg, H.[Heidi],
Multi-Temporal and Multi-Frequency SAR Analysis for Forest Land Cover
Mapping of the Mai-Ndombe District (Democratic Republic of Congo),
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Clark, M.L.[Matthew L.],
Comparison of multi-seasonal Landsat 8, Sentinel-2 and hyperspectral
images for mapping forest alliances in Northern California,
PandRS(159), 2020, pp. 26-40.
Elsevier DOI
1912
Land cover, Forest alliance,
U.S. National Vegetation Classification (NVC), Support Vector Machine
BibRef
Myroniuk, V.[Viktor],
Kutia, M.[Mykola],
Sarkissian, A.J.[Arbi J.],
Bilous, A.[Andrii],
Liu, S.G.[Shu-Guang],
Regional-Scale Forest Mapping over Fragmented Landscapes Using Global
Forest Products and Landsat Time Series Classification,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Hufkens, K.[Koen],
de Haulleville, T.[Thalès],
Kearsley, E.[Elizabeth],
Jacobsen, K.[Kim],
Beeckman, H.[Hans],
Stoffelen, P.[Piet],
Vandelook, F.[Filip],
Meeus, S.[Sofie],
Amara, M.[Michael],
van Hirtum, L.[Leen],
van den Bulcke, J.[Jan],
Verbeeck, H.[Hans],
Wingate, L.[Lisa],
Historical Aerial Surveys Map Long-Term Changes of Forest Cover and
Structure in the Central Congo Basin,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Adams, B.[Bryce],
Iverson, L.[Louis],
Matthews, S.[Stephen],
Peters, M.[Matthew],
Prasad, A.[Anantha],
Hix, D.M.[David M.],
Mapping Forest Composition with Landsat Time Series: An Evaluation of
Seasonal Composites and Harmonic Regression,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Bell, R.A.[Rose-Anne],
Callow, J.N.[J. Nikolaus],
Investigating Banksia Coastal Woodland Decline Using Multi-Temporal
Remote Sensing and Field-Based Monitoring Techniques,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Peereman, J.[Jonathan],
Hogan, J.A.[James Aaron],
Lin, T.C.[Teng-Chiu],
Landscape Representation by a Permanent Forest Plot and Alternative
Plot Designs in a Typhoon Hotspot, Fushan, Taiwan,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Vilar, P.[Pedro],
Morais, T.G.[Tiago G.],
Rodrigues, N.R.[Nuno R.],
Gama, I.[Ivo],
Monteiro, M.L.[Marta L.],
Domingos, T.[Tiago],
Teixeira, R.F.M.[Ricardo F. M.],
Object-Based Classification Approaches for Multitemporal
Identification and Monitoring of Pastures in Agroforestry Regions
using Multispectral Unmanned Aerial Vehicle Products,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Anaya, J.A.[Jesús A.],
Gutiérrez-Vélez, V.H.[Víctor H.],
Pacheco-Pascagaza, A.M.[Ana M.],
Palomino-Ángel, S.[Sebastián],
Han, N.[Natasha],
Balzter, H.[Heiko],
Drivers of Forest Loss in a Megadiverse Hotspot on the Pacific Coast
of Colombia,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link
2004
BibRef
van Passel, J.[Johanna],
de Keersmaecker, W.[Wanda],
Somers, B.[Ben],
Monitoring Woody Cover Dynamics in Tropical Dry Forest Ecosystems
Using Sentinel-2 Satellite Imagery,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Balková, M.[Marie],
Bajer, A.[Aleš],
Patocka, Z.[Zdenek],
Mikita, T.[Tomáš],
Visual Exposure of Rock Outcrops in the Context of a Forest Disease
Outbreak Simulation Based on a Canopy Height Model and Spectral
Information Acquired by an Unmanned Aerial Vehicle,
IJGI(9), No. 5, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Peereman, J.[Jonathan],
Hogan, J.A.[James Aaron],
Lin, T.C.[Teng-Chiu],
Assessing Typhoon-Induced Canopy Damage Using Vegetation Indices in
the Fushan Experimental Forest, Taiwan,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Nazarova, T.[Tatiana],
Martin, P.[Pascal],
Giuliani, G.[Gregory],
Monitoring Vegetation Change in the Presence of High Cloud Cover with
Sentinel-2 in a Lowland Tropical Forest Region in Brazil,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Galiatsatos, N.[Nikolaos],
Donoghue, D.N.M.[Daniel N.M.],
Watt, P.[Pete],
Bholanath, P.[Pradeepa],
Pickering, J.[Jeffrey],
Hansen, M.C.[Matthew C.],
Mahmood, A.R.J.[Abu R.J.],
An Assessment of Global Forest Change Datasets for National Forest
Monitoring and Reporting,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Perroy, R.L.[Ryan L.],
Hughes, M.[Marc],
Keith, L.M.[Lisa M.],
Collier, E.[Eszter],
Sullivan, T.[Timo],
Low, G.[Gabriel],
Examining the Utility of Visible Near-Infrared and Optical Remote
Sensing for the Early Detection of Rapid Ohia Death,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Bernardino, P.N.[Paulo N.],
Brandt, M.[Martin],
de Keersmaecker, W.[Wanda],
Horion, S.[Stéphanie],
Fensholt, R.[Rasmus],
Storms, I.[Ilié],
Wigneron, J.P.[Jean-Pierre],
Verbesselt, J.[Jan],
Somers, B.[Ben],
Uncovering Dryland Woody Dynamics Using Optical, Microwave, and Field
Data: Prolonged Above-Average Rainfall Paradoxically Contributes to
Woody Plant Die-Off in the Western Sahel,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Yamada, Y.[Yusuke],
Okubo, T.[Toshihiro],
Shimizu, K.[Katsuto],
Causal Analysis of Accuracy Obtained Using High-Resolution Global
Forest Change Data to Identify Forest Loss in Small Forest Plots,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Shen, W.J.[Wen-Juan],
He, J.Y.[Jia-Ying],
Huang, C.Q.[Cheng-Quan],
Li, M.S.[Ming-Shi],
Quantifying the Actual Impacts of Forest Cover Change on Surface
Temperature in Guangdong, China,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Tripathi, S.[Shankar],
Subedi, R.[Rajan],
Adhikari, H.[Hari],
Forest Cover Change Pattern after the Intervention of Community
Forestry Management System in the Mid-Hill of Nepal: A Case Study,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Xu, D.D.[Dan-Dan],
Geng, Q.H.[Qing-Hong],
Jin, C.S.[Chang-Shan],
Xu, Z.K.[Zi-Kun],
Xu, X.[Xia],
Tree Line Identification and Dynamics under Climate Change in
Wuyishan National Park Based on Landsat Images,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Ruiz-Ramos, J.[Javier],
Marino, A.[Armando],
Boardman, C.[Carl],
Suarez, J.[Juan],
Continuous Forest Monitoring Using Cumulative Sums of Sentinel-1
Timeseries,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Liu, Y.[Yang],
Liu, R.G.[Rong-Gao],
A Simple Approach for Mapping Forest Cover from Time Series of
Satellite Data,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Cunningham, D.[Daniel],
Cunningham, P.[Paul],
Fagan, M.E.[Matthew E.],
Evaluating Forest Cover and Fragmentation in Costa Rica with a
Corrected Global Tree Cover Map,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Puhm, M.[Martin],
Deutscher, J.[Janik],
Hirschmugl, M.[Manuela],
Wimmer, A.[Andreas],
Schmitt, U.[Ursula],
Schardt, M.[Mathias],
A Near Real-Time Method for Forest Change Detection Based on a
Structural Time Series Model and the Kalman Filter,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Zhang, Y.[Yali],
Shen, W.J.[Wen-Juan],
Li, M.S.[Ming-Shi],
Lv, Y.Y.[Ying-Ying],
Integrating Landsat Time Series Observations and Corona Images to
Characterize Forest Change Patterns in a Mining Region of Nanjing,
Eastern China from 1967 to 2019,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Furukawa, F.[Flavio],
Morimoto, J.[Junko],
Yoshimura, N.[Nobuhiko],
Kaneko, M.[Masami],
Comparison of Conventional Change Detection Methodologies Using
High-Resolution Imagery to Find Forest Damage Caused by Typhoons,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Fernandez-Carrillo, A.[Angel],
Franco-Nieto, A.[Antonio],
Pinto-Bañuls, E.[Erika],
Basarte-Mena, M.[Miguel],
Revilla-Romero, B.[Beatriz],
Designing a Validation Protocol for Remote Sensing Based Operational
Forest Masks Applications. Comparison of Products Across Europe,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Fidelus-Orzechowska, J.[Joanna],
Strzyzowski, D.[Dariusz],
Cebulski, J.[Jaroslaw],
Wronska-Walach, D.[Dominika],
A Quantitative Analysis of Surface Changes on an Abandoned Forest
Road in the Lejowa Valley (Tatra Mountains, Poland),
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Brovelli, M.A.[Maria Antonia],
Sun, Y.[Yaru],
Yordanov, V.[Vasil],
Monitoring Forest Change in the Amazon Using Multi-Temporal Remote
Sensing Data and Machine Learning Classification on Google Earth Engine,
IJGI(9), No. 10, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Xu, Z.H.[Zhi-Huo],
Wang, Y.X.[Yue-Xia],
Radar Satellite Image Time Series Analysis for High-Resolution
Mapping of Man-Made Forest Change in Chongming Eco-Island,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Chen, H.[He],
Zeng, Z.Z.[Zhen-Zhong],
Wu, J.[Jie],
Peng, L.Q.[Li-Qing],
Lakshmi, V.[Venkataraman],
Yang, H.[Hong],
Liu, J.[Junguo],
Large Uncertainty on Forest Area Change in the Early 21st Century
among Widely Used Global Land Cover Datasets,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Devkota, R.S.[Ram Sharan],
Field, R.[Richard],
Hoffmann, S.[Samuel],
Walentowitz, A.[Anna],
Medina, F.M.[Félix Manuel],
Vetaas, O.R.[Ole Reidar],
Chiarucci, A.[Alessandro],
Weiser, F.[Frank],
Jentsch, A.[Anke],
Beierkuhnlein, C.[Carl],
Assessing the Potential Replacement of Laurel Forest by a Novel
Ecosystem in the Steep Terrain of an Oceanic Island,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Tian, L.[Lei],
Fu, W.X.[Wen-Xue],
Bi-Temporal Analysis of Spatial Changes of Boreal Forest Cover and
Species in Siberia for the Years 1985 and 2015,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Zang, Z.[Zhuo],
Wang, G.X.[Guang-Xing],
Lin, H.[Hui],
Luo, P.[Peng],
Developing a spectral angle based vegetation index for detecting the
early dying process of Chinese fir trees,
PandRS(171), 2021, pp. 253-265.
Elsevier DOI
2012
Hyperspectral data, Spectral angle, GRRSGI,
Early stage damage detection, Chinese fir
BibRef
Rose, M.B.[M. Brooke],
Nagle, N.N.[Nicholas N.],
Characterizing Forest Dynamics with Landsat-Derived Phenology Curves,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Varo-Martínez, Á.[Ángeles],
Navarro-Cerrillo, R.M.[Rafael M.],
Stand Delineation of Pinus sylvestris L. Plantations Suffering
Decline Processes Based on Biophysical Tree Crown Variables:
A Necessary Tool for Adaptive Silviculture,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link
2102
BibRef
Li, H.[Han],
Xu, F.[Fu],
Li, Z.C.[Zhi-Chao],
You, N.[Nanshan],
Zhou, H.[Hui],
Zhou, Y.[Yan],
Chen, B.Q.[Bang-Qian],
Qin, Y.[Yuanwei],
Xiao, X.M.[Xiang-Ming],
Dong, J.[Jinwei],
Forest Changes by Precipitation Zones in Northern China after the
Three-North Shelterbelt Forest Program in China,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Jorge, C.[Catarina],
Silva, J.M.N.[João M. N.],
Boavida-Portugal, J.[Joana],
Soares, C.[Cristina],
Cerasoli, S.[Sofia],
Using Digital Photography to Track Understory Phenology in
Mediterranean Cork Oak Woodlands,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Pacheco-Angulo, C.[Carlos],
Plata-Rocha, W.[Wenseslao],
Serrano, J.[Julio],
Vilanova, E.[Emilio],
Monjardin-Armenta, S.[Sergio],
González, A.[Alvaro],
Camargo, C.[Cristopher],
A Low-Cost and Robust Landsat-Based Approach to Study Forest
Degradation and Carbon Emissions from Selective Logging in the
Venezuelan Amazon,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Piragnolo, M.[Marco],
Pirotti, F.[Francesco],
Zanrosso, C.[Carlo],
Lingua, E.[Emanuele],
Grigolato, S.[Stefano],
Responding to Large-Scale Forest Damage in an Alpine Environment with
Remote Sensing, Machine Learning, and Web-GIS,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Liu, Y.[Yang],
Remote Sensing of Forest Structural Changes Due to the Recent Boom of
Unconventional Shale Gas Extraction Activities in Appalachian Ohio,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Lukasová, V.[Veronika],
Bucha, T.[Tomáš],
Mareková, L.[Lubica],
Buchholcerová, A.[Anna],
Bicárová, S.[Svetlana],
Changes in the Greenness of Mountain Pine (Pinus mugo Turra) in the
Subalpine Zone Related to the Winter Climate,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Chen, X.C.[Xin-Chuang],
Li, F.[Feng],
Li, X.Q.[Xiao-Qian],
Hu, Y.H.[Yin-Hong],
Hu, P.P.[Pan-Pan],
Quantifying the Compound Factors of Forest Land Changes in the Pearl
River Delta, China,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Chernenkova, T.[Tatiana],
Kotlov, I.[Ivan],
Belyaeva, N.[Nadezhda],
Suslova, E.[Elena],
Spatiotemporal Modeling of Coniferous Forests Dynamics along the
Southern Edge of Their Range in the Central Russian Plain,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link
2105
BibRef
van den Hoek, J.[Jamon],
Smith, A.C.[Alexander C.],
Hurni, K.[Kaspar],
Saksena, S.[Sumeet],
Fox, J.[Jefferson],
Shedding New Light on Mountainous Forest Growth: A Cross-Scale
Evaluation of the Effects of Topographic Illumination Correction on
25 Years of Forest Cover Change across Nepal,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Bórnez, K.[Kevin],
Verger, A.[Aleixandre],
Descals, A.[Adrià],
Peñuelas, J.[Josep],
Monitoring the Responses of Deciduous Forest Phenology to 2000-2018
Climatic Anomalies in the Northern Hemisphere,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Morin, N.[Nathalie],
Masse, A.[Antoine],
Sannier, C.[Christophe],
Siklar, M.[Martin],
Kiesslich, N.[Norman],
Sayadyan, H.[Hovik],
Faucqueur, L.[Loïc],
Seewald, M.[Michaela],
Development and Application of Earth Observation Based Machine
Learning Methods for Characterizing Forest and Land Cover Change in
Dilijan National Park of Armenia between 1991 and 2019,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Chen, S.S.[Shan-Shan],
Wen, Z.F.[Zhao-Fei],
Ma, M.H.[Mao-Hua],
Wu, S.J.[Sheng-Jun],
Disentangling Climatic Factors and Human Activities in Governing the
Old and New Forest Productivity,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Zhang, Y.[Yue],
Liu, X.N.[Xiang-Nan],
Yang, Q.[Qin],
Liu, Z.L.[Zhao-Lun],
Li, Y.[Yu],
Extracting Frequent Sequential Patterns of Forest Landscape Dynamics
in Fenhe River Basin, Northern China, from Landsat Time Series to
Evaluate Landscape Stability,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Khare, S.[Suyash],
Latifi, H.[Hooman],
Khare, S.[Siddhartha],
Vegetation Growth Analysis of UNESCO World Heritage Hyrcanian Forests
Using Multi-Sensor Optical Remote Sensing Data,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Uphus, L.[Lars],
Lüpke, M.[Marvin],
Yuan, Y.[Ye],
Benjamin, C.[Caryl],
Englmeier, J.[Jana],
Fricke, U.[Ute],
Ganuza, C.[Cristina],
Schwindl, M.[Michael],
Uhler, J.[Johannes],
Menzel, A.[Annette],
Climate Effects on Vertical Forest Phenology of Fagus sylvatica L.,
Sensed by Sentinel-2, Time Lapse Camera, and Visual Ground
Observations,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
García-Montero, L.G.[Luis Gonzaga],
Pascual, C.[Cristina],
Martín-Fernández, S.[Susana],
Díaz, A.S.P.[Alfonso Sanchez-Paus],
Patriarca, C.[Chiara],
Martín-Ortega, P.[Pablo],
Mollicone, D.[Danilo],
Medium- (MR) and Very-High-Resolution (VHR) Image Integration through
Collect Earth for Monitoring Forests and Land-Use Changes:
Global Forest Survey (GFS) in the Temperate FAO Ecozone in Europe
(2000-2015),
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Singh, B.[Beependra],
Jeganathan, C.[Chockalingam],
Rathore, V.S.[Virendra Singh],
Behera, M.D.[Mukunda Dev],
Singh, C.P.[Chandra Prakash],
Roy, P.S.[Parth Sarathi],
Atkinson, P.M.[Peter M.],
Resilience of the Central Indian Forest Ecosystem to Rainfall
Variability in the Context of a Changing Climate,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Moura, V.[Valdir],
dos Anjos de Souza, R.[Ranieli],
Mercante, E.[Erivelto],
Richetti, J.[Jonathan],
Johann, J.A.[Jerry Adriani],
Three Decades after: Landscape Dynamics in Different Colonisation
Models Implemented in the Brazilian Legal Amazon,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Mermoz, S.[Stéphane],
Bouvet, A.[Alexandre],
Koleck, T.[Thierry],
Ballère, M.[Marie],
Toan, T.L.[Thuy Le],
Continuous Detection of Forest Loss in Vietnam, Laos, and Cambodia
Using Sentinel-1 Data,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Kuck, T.N.[Tahisa Neitzel],
Filho, P.F.F.S.[Paulo Fernando Ferreira Silva],
Sano, E.E.[Edson Eyji],
da Conceição Bispo, P.[Polyanna],
Shiguemori, E.H.[Elcio Hideiti],
Dalagnol, R.[Ricardo],
Change Detection of Selective Logging in the Brazilian Amazon Using
X-Band SAR Data and Pre-Trained Convolutional Neural Networks,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Khare, S.[Siddhartha],
Deslauriers, A.[Annie],
Morin, H.[Hubert],
Latifi, H.[Hooman],
Rossi, S.[Sergio],
Comparing Time-Lapse PhenoCams with Satellite Observations across the
Boreal Forest of Quebec, Canada,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Khare, S.,
Latifi, H.,
Ghosh, K.,
Phenology Analysis Of Forest Vegetation To Environmental Variables
During Pre- And Post-monsoon Seasons In Western Himalayan Region Of
India,
ISPRS16(B2: 15-19).
DOI Link
1610
BibRef
Desloires, J.[Johann],
Ienco, D.[Dino],
Botrel, A.[Antoine],
Ranc, N.[Nicolas],
Positive Unlabelled Learning for Satellite Images'Time Series
Analysis: An Application to Cereal and Forest Mapping,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Thonfeld, F.[Frank],
Gessner, U.[Ursula],
Holzwarth, S.[Stefanie],
Kriese, J.[Jennifer],
da Ponte, E.[Emmanuel],
Huth, J.[Juliane],
Kuenzer, C.[Claudia],
A First Assessment of Canopy Cover Loss in Germany's Forests
after the 2018-2020 Drought Years,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Yan, X.R.[Xin-Rong],
Wang, J.L.[Juan-Le],
The Forest Change Footprint of the Upper Indus Valley, from 1990 to
2020,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Pacheco-Pascagaza, A.M.[Ana María],
Gou, Y.Q.[Ya-Qing],
Louis, V.[Valentin],
Roberts, J.F.[John F.],
Rodríguez-Veiga, P.[Pedro],
da Conceição Bispo, P.[Polyanna],
Espírito-Santo, F.D.B.[Fernando D. B.],
Robb, C.[Ciaran],
Upton, C.[Caroline],
Galindo, G.[Gustavo],
Cabrera, E.[Edersson],
Cendales, I.P.P.[Indira Paola Pachón],
Santiago, M.A.C.[Miguel Angel Castillo],
Negrete, O.C.[Oswaldo Carrillo],
Meneses, C.[Carmen],
Iñiguez, M.[Marco],
Balzter, H.[Heiko],
Near Real-Time Change Detection System Using Sentinel-2 and Machine
Learning: A Test for Mexican and Colombian Forests,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Girardin, P.[Patricia],
Valeria, O.[Osvaldo],
Girard, F.[François],
Measuring Spatial and Temporal Gravelled Forest Road Degradation in
the Boreal Forest,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Filipponi, F.[Federico],
Smiraglia, D.[Daniela],
Agrillo, E.[Emiliano],
Earth Observation for Phenological Metrics (EO4PM):
Temporal Discriminant to Characterize Forest Ecosystems,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Andronis, V.[Vassilis],
Karathanassi, V.[Vassilia],
Tsalapati, V.[Victoria],
Kolokoussis, P.[Polychronis],
Miltiadou, M.[Milto],
Danezis, C.[Chistos],
Time Series Analysis of Landsat Data for Investigating the
Relationship between Land Surface Temperature and Forest Changes in
Paphos Forest, Cyprus,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Price, C.[Clare],
Elsner, P.[Paul],
Uncertainty of Historic GLAD Forest Data in Temperate Climates and
Implications for Forest Change Modelling,
IJGI(11), No. 3, 2022, pp. xx-yy.
DOI Link
2204
BibRef
Halbgewachs, M.[Magdalena],
Wegmann, M.[Martin],
da Ponte, E.[Emmanuel],
A Spectral Mixture Analysis and Landscape Metrics Based Framework for
Monitoring Spatiotemporal Forest Cover Changes:
A Case Study in Mato Grosso, Brazil,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Bergmüller, K.O.[Kai O.],
Vanderwel, M.C.[Mark C.],
Predicting Tree Mortality Using Spectral Indices Derived from
Multispectral UAV Imagery,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Zheng, W.R.[Wen-Rui],
Liu, Y.Q.[Yu-Qi],
Yang, X.G.[Xi-Guang],
Fan, W.[Wenyi],
Spatiotemporal Variations of Forest Vegetation Phenology and Its
Response to Climate Change in Northeast China,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Wang, J.B.[Jian-Bang],
He, Z.Y.[Zhuo-Yu],
Wang, C.L.[Chun-Ling],
Feng, M.[Min],
Pang, Y.[Yong],
Yu, T.[Tao],
Li, X.[Xin],
Investigation of Long-Term Forest Dynamics in Protected Areas of
Northeast China Using Landsat Data,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Miltiadou, M.[Milto],
Karathanassi, V.[Vassilia],
Agapiou, A.[Athos],
Theocharidis, C.[Christos],
Kolokousis, P.[Polychronis],
Danezis, C.[Chris],
A Selection of Experiments for Understanding the Strengths of Time
Series SAR Data Analysis for Finding the Drivers Causing Phenological
Changes in Paphos Forest, Cyprus,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Wang, C.L.[Chun-Ling],
Wang, J.[Jianbang],
He, Z.[Zhuoyu],
Feng, M.[Min],
Detecting Mountain Forest Dynamics in the Eastern Himalayas,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Jiang, J.W.[Jia-Wei],
Xing, Y.J.[Yuan-Jun],
Wei, W.[Wei],
Yan, E.[Enping],
Xiang, J.[Jun],
Mo, D.K.[Deng-Kui],
DSNUNet: An Improved Forest Change Detection Network by Combining
Sentinel-1 and Sentinel-2 Images,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
BibRef
Cipolla, S.S.[Sara Simona],
Montaldo, N.[Nicola],
On the Impacts of Historical and Future Climate Changes to the
Sustainability of the Main Sardinian Forests,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
BibRef
Lu, S.Q.[Si-Qi],
Zhang, C.R.[Chuan-Rong],
Dong, J.[Jinwei],
Adil, M.[Muhammad],
Lu, H.[Heli],
Assessing Elevation-Based Forest Dynamics over Space and Time toward
REDD+ MRV in Upland Myanmar,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Hou, B.[Bowen],
Wei, C.Y.[Cai-Yong],
Liu, X.N.[Xiang-Nan],
Meng, Y.Y.[Yuan-Yuan],
Li, X.Y.[Xiao-Yue],
Assessing Forest Landscape Stability through Automatic Identification
of Landscape Pattern Evolution in Shanxi Province of China,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Xiang, J.[Jun],
Xing, Y.J.[Yuan-Jun],
Wei, W.[Wei],
Yan, E.[Enping],
Jiang, J.W.[Jia-Wei],
Mo, D.[Dengkui],
Dynamic Detection of Forest Change in Hunan Province Based on
Sentinel-2 Images and Deep Learning,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Krawczyk, W.[Wojciech],
Wezyk, P.[Piotr],
Using Satellite Imagery and Aerial Orthophotos for the Multi-Decade
Monitoring of Subalpine Norway Spruce Stands Changes in Gorce
National Park, Poland,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Sang, Z.H.[Zihao-Han],
Hamann, A.[Andreas],
A Record-Setting 2021 Heat Wave in Western Canada Had a Significant
Temporary Impact on Greenness of the World's Largest Protected
Temperate Rainforest,
RS(15), No. 8, 2023, pp. 2162.
DOI Link
2305
BibRef
Wang, J.[Jing],
Fang, W.[Wei],
Xu, P.P.[Pei-Pei],
Li, H.[Hu],
Chen, D.H.[Dong-Hua],
Wang, Z.[Zuo],
You, Y.H.[Yuan-Hong],
Rafaniello, C.[Christopher],
Satellite Evidence for Divergent Forest Responses within Close
Vicinity to Climate Fluctuations in a Complex Terrain,
RS(15), No. 11, 2023, pp. 2749.
DOI Link
2306
BibRef
Blaga, L.[Lucian],
Ilies, D.C.[Dorina Camelia],
Wendt, J.A.[Jan A.],
Rus, I.[Ioan],
Zhu, K.[Kai],
Dávid, L.D.[Lóránt Dénes],
Monitoring Forest Cover Dynamics Using Orthophotos and Satellite
Imagery,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link
2307
BibRef
Portillo-Quintero, C.[Carlos],
Hernandez-Stefanoni, J.L.[Jose Luis],
Dupuy, J.M.[Juan Manuel],
Forest Clearing Dynamics and Its Relation to Remotely Sensed Carbon
Density and Plant Species Diversity in the Puuc Biocultural State
Reserve, Mexico,
RS(15), No. 13, 2023, pp. 3445.
DOI Link
2307
BibRef
Zhang, Y.W.[Yan-Wen],
Ding, J.Q.[Jia-Qi],
Wang, Y.Y.[Yue-Yao],
Zhang, Y.J.[Ya-Juan],
Liu, Y.[Yinglu],
Zhang, L.[Lijin],
Ariken, M.[Muhadaisi],
Wulan, T.[Tuya],
Huang, W.L.[Wen-Li],
Li, Y.[Yan],
Li, S.C.[Shuang-Cheng],
Reconstruction of Human-Induced Forest Loss in China during
1900-2000,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link
2308
BibRef
Brumberg, H.[Hilary],
Furey, S.[Samuel],
Bouffard, M.G.[Marie G.],
Quirós, M.J.M.[María José Mata],
Murayama, H.[Hikari],
Neyestani, S.[Soroush],
Pauline, E.[Emily],
Whitworth, A.[Andrew],
Madden, M.[Marguerite],
Increasing Forest Cover and Connectivity Both Inside and Outside of
Protected Areas in Southwestern Costa Rica,
RS(16), No. 6, 2024, pp. 1088.
DOI Link
2403
BibRef
Liu, Y.[Yang],
Liu, R.G.[Rong-Gao],
Qi, L.[Lin],
Chen, J.[Jilong],
Dong, J.[Jinwei],
Wei, X.X.[Xue-Xin],
Global mapping of fractional tree cover for forest cover change
analysis,
PandRS(211), 2024, pp. 67-82.
Elsevier DOI
2405
Tree cover, Forest density, Forest cover change, Subpixel, Global
BibRef
Shi, W.X.[Wen-Xi],
Zhao, X.[Xiang],
Yang, H.[Hua],
Si, L.P.[Long-Ping],
Wang, Q.[Qian],
Zhao, S.[Siqing],
Guo, Y.[Yinkun],
Generation of High Temporal Resolution Fractional Forest Cover Data
and Its Application in Accurate Time Detection of Forest Loss,
RS(16), No. 13, 2024, pp. 2387.
DOI Link
2407
BibRef
Cai, Y.T.[Yao-Tong],
Xu, X.C.[Xiao-Cong],
Zhu, P.[Peng],
Nie, S.[Sheng],
Wang, C.[Cheng],
Xiong, Y.[Yujiu],
Liu, X.P.[Xiao-Ping],
Unveiling spatiotemporal tree cover patterns in China: The first 30m
annual tree cover mapping from 1985 to 2023,
PandRS(216), 2024, pp. 240-258.
Elsevier DOI
2408
Tree canopy cover, Forest change, Afforestation,
Grain for green, Land management, Carbon sequestration
BibRef
Tang, J.[Jiao],
Wang, H.M.[Hui-Min],
Cong, N.[Nan],
Zu, J.X.[Jia-Xing],
Yang, Y.Z.[Yuan-Zheng],
Analysis of Changes in Forest Vegetation Peak Growth Metrics and
Driving Factors in a Typical Climatic Transition Zone: A Case Study
of the Funiu Mountain, China,
RS(16), No. 16, 2024, pp. 2921.
DOI Link
2408
BibRef
Rodriguez, P.S.[Peter S.],
Schwantes, A.M.[Amanda M.],
Gonzalez, A.[Andrew],
Fortin, M.J.[Marie-Josée],
Monitoring Changes in the Enhanced Vegetation Index to Inform the
Management of Forests,
RS(16), No. 16, 2024, pp. 2919.
DOI Link
2408
BibRef
Feng, W.[Wei],
Bu, F.[Fan],
Wu, P.[Puxia],
Dauphin, G.[Gabriel],
Quan, Y.H.[Ying-Hui],
Xing, M.D.[Meng-Dao],
Forest Change Monitoring Based on Block Instance Sampling and
Homomorphic Hypothesis Margin Evaluation,
RS(16), No. 18, 2024, pp. 3483.
DOI Link
2410
BibRef
Duong, N.D.,
Automated Classification of Natural Forests with Landsat Time Series
Using Simplified Spectral Patterns,
ISPRS20(B3:983-988).
DOI Link
2012
BibRef
Legdou, A.[Anass],
Chafik, H.[Hassan],
Amine, A.[Aouatif],
Lahssini, S.[Said],
Berrada, M.[Mohamed],
A Random Forest-cellular Automata Modeling Approach to Predict Future
Forest Cover Change in Middle Atlas Morocco, Under Anthropic, Biotic
and Abiotic Parameters,
ICISP20(91-100).
Springer DOI
2009
BibRef
Taefi Feijani, M.,
Azadnejad, S.,
Homayouni, S.,
Moradi, M.,
Investigation of Forest Canopy Density Changes in Hyrcanian Forest
Resources During 1987 to 2002 Using Remote Sensing Technology,
SMPR19(1031-1034).
DOI Link
1912
BibRef
Zoraghi, M.,
Saadi, R.,
Hasanlou, M.,
Investigating of Forest Change in Golestan Province Using Landsat Image,
SMPR19(1159-1162).
DOI Link
1912
BibRef
Koppad, A.G.,
Janagoudar, B.S.,
Vegetation Analysis And Land Use Land Cover Classification Of Forest In
Uttara Kannada District India Through Geo-informatics Approach,
Hannover17(219-223).
DOI Link
1805
BibRef
And:
Vegetation Analysis And Land Use Land Cover Classification Of Forest In
Uttara Kannada District India Using Remote Sensign And Gis Techniques,
GeoDisast17(121-125).
DOI Link
1805
BibRef
Deutscher, J.,
Gutjahr, K.,
Perko, R.,
Raggam, H.,
Hirschmugl, M.,
Schardt, M.,
Humid tropical forest monitoring with multi-temporal L-, C- and
X-band SAR data,
MultiTemp17(1-4)
IEEE DOI
1712
geophysical techniques, synthetic aperture radar,
vegetation mapping, ALOS PALSAR, Global Forest Watch, Landsat,
time series analysis
BibRef
Pencue-Fierro, E.L.,
Solano-Correa, Y.T.,
Corrales-Muñoz, J.C.,
Figueroa-Casas, A.,
Analysis of Riparian forest buffers dynamics in Colombian basins by
Landsat Time Series,
MultiTemp17(1-4)
IEEE DOI
1712
digital elevation models, remote sensing, time series,
Colombian Basins, Landsat time series, climate change,
Riparian forest buffers
BibRef
Carriello, F.,
Rezende, F.S.,
Neves, O.M.S.,
Rodriguez, D.A.,
Forestry Expansion During The Last Decades In The Paraiba Do Sul Basin,
Brazil,
ISPRS16(B8: 857-861).
DOI Link
1610
BibRef
Bouzekri, A.,
Benmessaoud, H.,
Using Multi-criteria Analysis For The Study Of Human Impact On
Agro-forestry-pastoral Ecosystem In The Region Of Khenchela (Algeria),
ISPRS16(B8: 779-783).
DOI Link
1610
BibRef
Nguyen, H.T.T.[Huong Thi Thanh],
Mapping Tropical Forest For Sustainable Management Using Spot 5
Satellite Image,
ISPRS16(B7: 319-323).
DOI Link
1610
BibRef
Yuan, Y.[Yi],
Hu, X.Y.[Xiang-Yun],
Random Forest And Objected-based Classification For Forest Pest
Extraction From UAV Aerial Imagery,
ISPRS16(B1: 1093-1098).
DOI Link
1610
BibRef
Isaacson, S.,
Rachmilevitch, S.,
Ephrath, J.E.,
Maman, S.,
Blumberg, D.G.,
Monitoring Tree Population Dynamics In Arid Zone Through Multiple
Temporal Scales: Integration Of Spatial Analysis, Change Detection And
Field Long Term Monitoring,
ISPRS16(B7: 513-515).
DOI Link
1610
BibRef
Eberenz, J.,
Herold, M.,
Verbesselt, J.,
Wijaya, A.,
Linquist, E.,
Defourny, P.,
Gibbs, H.,
Arino, O.,
Achard, F.,
Consistent forest change maps 198-2000 from the AVHRR time series:
Case studies for South America and Indonesia,
MultiTemp15(1-4)
IEEE DOI
1511
land cover
BibRef
Gartner, P.,
Kleinschmit, B.,
Monitoring forest recovery with change metrics derived from Landsat
time series stacks,
MultiTemp15(1-3)
IEEE DOI
1511
forestry
BibRef
Symeonakis, E.,
Higginbottom, T.,
Bush encroachment monitoring using multi-temporal Landsat data and
random forests,
Geospatial14(29-35).
DOI Link
1411
BibRef
Perera, K.,
Herath, S.,
Apan, A.,
Tateishi, R.,
Application of MODIS Data to Assess the Latest Forest Cover Changes of
Sri Lanka,
AnnalsPRS(I-7), No. 2012, pp. 165-170.
DOI Link
1209
BibRef
Castilla, G.[Guillermo],
Ram, A.[Andrea],
Linke, J.[Julia],
McDermid, G.[Greg],
Semi-automated generation of a multi-temporal forest depletion layer
with the Landcover Change Mapper (LCM),
MultiTemp11(97-100).
IEEE DOI
1109
BibRef
Johansen, K.[Kylie],
Johansen, K.[Kasper],
Time-series analysis of rainforest clearing in Sabah, Borneo using
Landsat imagery,
MultiTemp11(277-280).
IEEE DOI
1109
BibRef
Ernsta, C.,
Verhegghen, A.,
Bodart, C.,
Mayaux, P.,
de Wasseige, C.,
Bararwandika, A.,
Begoto, G.,
Mba, F.E.[F. Esono],
Ibara, M.,
Shoko, A.K.[A. Kondjo],
Kondjo, H.K.[H. Koy],
Makak, J.S.,
Biang, J.D.M.[J-D. Menomo],
Musampa, C.,
Motogo, R.N.[R. Ncogo],
Shu, G.N.[G. Neba],
Nkoumakali, B.,
Ouissikan, C.B.,
Defourny, P.,
Congo Basin Forest Cover Change Estimate for 1990, 2000 and 2005 by
Landsat Interpretation Using an Automated Object-Based Processing Chain,
GEOBIA10(xx-yy).
PDF File.
1007
BibRef
Verhegghen, A.,
Ernst, C.,
Defourny, P.,
Beuchle, R.,
Automated Land Cover Mapping and Independent Change Detection in
Tropical Forest Using Multi-Temporal High Resolution Data Set,
GEOBIA10(xx-yy).
PDF File.
1007
BibRef
Huang, C.Q.[Cheng-Quan],
Automated Forest Cover Change Analysis Using Landsat Observations,
VCGVA09(xx-yy).
0910
BibRef
Hese, S.,
Schmullius, C.,
Object context information for advanced forest change classification
strategies,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Desclee, B.,
de Wasseige, C.,
Bogaert, P.,
Defourny, P.,
Tropical forest monitoring by object-based change detection:
Towards an automated method in an operational perspective,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Heikkonen, J.,
Varjo, J.,
Vehtari, A.,
Forest Change Detection via Landsat TM Difference Features,
SCIA99(Remote Sensing).
BibRef
9900
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Forest Disturbance, Regeneration, Regrowth .