23.1.3 General Remote Sensing, Applications

Steele, B.M.[Brian M.],
Toward estimation of map accuracy without a probability test sample,
JournalEnvironmental & Ecological Statistics, Vol 10, 2003, pp. 333-356. image classification, discriminant analysis, posterior probabilities, accuracy assessment BibRef 0300

Skelsey, C.[Chris], Law, A.N.R., Winter, M.[Mark], Lishman, J.R.,
Automating the Analysis of Remotely Sensed Data,
PhEngRS(70), No. 3, March 2004, pp. 341-350. The motivation behind the development of ETORA-II, an operational toolkit providing task-oriented capability, and SYMOLAC-II, a proof-of-concept application, is described.
WWW Link. 0403
BibRef

Petrou, M.,
Preface: Pattern Recognition for Remote Sensing,
PRL(25), No. 13, 1 October 2004, pp. Page 1459.
Elsevier DOI 0410
BibRef

Bertrand, C., Clerbaux, N., Ipe, A., Dewitte, S., Gonzalez, L.,
Angular Distribution Models, Anisotropic Correction Factors, and Mixed Clear-Scene Types: A Sensitivity Study,
GeoRS(43), No. 1, January 2005, pp. 92-102.
IEEE Abstract. 0501
BibRef

Oreopoulos, L.,
The impact of subsampling on MODIS level-3 statistics of cloud optical thickness and effective radius,
GeoRS(43), No. 2, February 2005, pp. 366-373.
IEEE Abstract. 0501
BibRef

Datcu, M., Seidel, K.,
Human-Centered Concepts for Exploration and Understanding of Earth Observation Images,
GeoRS(43), No. 3, March 2005, pp. 601-609.
IEEE Abstract. 0501
BibRef

Mandal, A.K., Pal, S., De, A.K., Mitra, S.,
Novel Approach to Identify Good Tracer Clouds From a Sequence of Satellite Images,
GeoRS(43), No. 4, April 2005, pp. 813-818.
IEEE Abstract. 0501
BibRef

Li, J., Liu, C.Y., Huang, H.L., Schmit, T.J., Wu, X., Menzel, W.P., Gurka, J.J.,
Optimal Cloud-Clearing for AIRS Radiances Using MODIS,
GeoRS(43), No. 6, June 2005, pp. 1266-1278.
IEEE Abstract. 0506
BibRef

Song, X., Fan, G., Rao, M.,
Automatic CRP Mapping Using Nonparametric Machine Learning Approaches,
GeoRS(43), No. 4, April 2005, pp. 888-897.
IEEE Abstract. 0501
BibRef

Szymanski, J.J.[John J.], Weber, P.G.,
Multispectral Thermal Imager: Mission and Applications Overview,
GeoRS(43), No. 9, September 2005, pp. 1943-1949.
IEEE DOI 0509
BibRef

Pulvirenti, L., Pierdicca, N.,
Retrieval of Atmospheric and Surface Parameters From Satellite Microwave Radiometers Over the Mediterranean Sea,
GeoRS(44), No. 1, January 2006, pp. 90-101.
IEEE DOI 0601
BibRef

Ye, H., Jin, Y.Q.,
Fast Iterative Approach to Difference Scattering From the Target Above a Rough Surface,
GeoRS(44), No. 1, January 2006, pp. 108-115.
IEEE DOI 0601
BibRef

Qing, A.,
Dynamic Differential Evolution Strategy and Applications in Electromagnetic Inverse Scattering Problems,
GeoRS(44), No. 1, January 2006, pp. 116-125.
IEEE DOI 0601
BibRef

Cipollini, P., Challenor, P.G., Colombo, S.,
A Method for Tracking Individual Planetary Waves in Remotely Sensed Data,
GeoRS(44), No. 1, January 2006, pp. 159-166.
IEEE DOI 0601
BibRef

Sorokine, A.[Alexandre], Bittner, T.[Thomas], Renschler, C.[Chris],
Ontological Investigation of a Multiscale Ecosystem Classification Using the 'National Hierarchical Framework of Ecological Units' as an Example,
GeoInfo(10), No. 3, September 2006, pp. 313-335.
Springer DOI 0703
BibRef

Leung, Y.[Yee], Luo, J.C.[Jian-Cheng], Ma, J.H.[Jiang-Hong], Ming, D.P.[Dong-Ping],
A New Method for Feature Mining in Remotely Sensed Images,
GeoInfo(10), No. 3, September 2006, pp. 295-312.
Springer DOI 0703
BibRef

Campbell, J.B.[James B.],
Origins of Aerial Photographic Interpretation, U.S. Army, 1916 to 1918,
PhEngRS(74), No. 1, January 2008, pp. 77-94.
WWW Link. 0803
U.S. Army Air Services operations during World War I established the foundations for a surprising range of techniques and procedures for aerial reconnaissance and photointerpretation. BibRef

Goward, S., Underwood, L., Fearon, M., Fletcher, R., Garvin, J., Hurtt, G., Jensen, J., Nolan, M., Holekamp, K., Pagnutti, M., Ryan, R., Stanley, T., Frisbie, T., and Swearingen, W.,
NASA's Earth Science Use of Commercially Available Remote Sensing Datasets,
PhEngRS(74), No. 2, February 2008, pp. 138-148.
WWW Link. BibRef 0802

de Paul, O.V.,
Remote Sensing: New Applications for Urban Areas,
PIEEE(95), No. 12, December 2007, pp. 2267-2268.
IEEE DOI 0712
BibRef

Roy, A., Wen, C.H., Doherty, J.F., Mathews, J.D.,
Signal Feature Extraction From Microbarograph Observations Using the Hilbert-Huang Transform,
GeoRS(46), No. 5, May 2008, pp. 1442-1447.
IEEE DOI 0804
BibRef

Blaschke, T.[Thomas], Lang, S.[Stefan], Hay, G.J.[Geoffrey J.],
Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications,
Springer-Verlag2008. ISBN: 978-3-540-77057-2.
WWW Link. Buy this book: Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications (Lecture Notes in Geoinformation and Cartography) BibRef 0800

Blaschke, T.[Thomas], Hay, G.J.[Geoffrey J.], Kelly, M.[Maggi], Lang, S.[Stefan], Hofmann, P.[Peter], Addink, E.[Elisabeth], Feitosa, R.Q.[Raul Queiroz], van der Meer, F.[Freek], van der Werff, H.[Harald], van Coillie, F.[Frieke], Tiede, D.[Dirk],
Geographic Object-Based Image Analysis: Towards a New Paradigm,
PandRS(87), No. 1, 2014, pp. 180-191.
Elsevier DOI 1402
GEOBIA BibRef

Kucharczyk, M.[Maja], Hay, G.J.[Geoffrey J.], Ghaffarian, S.[Salar], Hugenholtz, C.H.[Chris H.],
Geographic Object-Based Image Analysis: A Primer and Future Directions,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Lillesand, T.M.[Thomas M.], Kiefer, R.W.[Ralph W.], Chipman, J.W.[Jonathan W.],
Remote Sensing and Image Interpretation,
WileyNovember 2007. ISBN: 978-0-470-05245-7.
HTML Version. 6th Edition Buy this book: Remote Sensing and Image Interpretation 0905
BibRef

Laliberte, A.S., Rango, A.,
Texture and Scale in Object-Based Analysis of Subdecimeter Resolution Unmanned Aerial Vehicle (UAV) Imagery,
GeoRS(47), No. 3, March 2009, pp. 761-770.
IEEE DOI 0903
BibRef

Laliberte, A.S., Browning, D.M., Rango, A.,
Feature Selection Methods for Object-Based Classification of Sub-Decimeter Resolution Digital Aerial Imagery,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

Elachi, C.[Charles], van Zyl, J.J.[Jakob J.],
Introduction To The Physics and Techniques of Remote Sensing,
WileyApril 2006. ISBN: 978-0-471-47569-9. 2nd Edition.
HTML Version. Buy this book: Introduction To The Physics and Techniques of Remote Sensing (Wiley Series in Remote Sensing and Image Processing) 0905
BibRef

Jasani, B., Pesaresi, M., Schneiderbauer, S., Zeug, G., (Eds.)
Remote Sensing from Space: Supporting International Peace and Security,
Springer-Verlag2009. ISBN: 978-1-4020-8483-6
WWW Link. Survey, Remote Sensing. Buy this book: Remote Sensing from Space: Supporting International Peace and Security An overview of what is available. 0910
BibRef

Parente, M., Clark, J.T., Brown, A.J., Bishop, J.L.,
End-to-End Simulation and Analytical Model of Remote-Sensing Systems: Application to CRISM,
GeoRS(48), No. 11, November 2010, pp. 3877-3888.
IEEE DOI 1011
BibRef

Capaccioni, F., de Sanctis, M.C., Filacchione, G., Piccioni, G., Ammannito, E., Tommasi, L., Veltroni, I.F.[I. Ficai], Cosi, M., Debei, S., Calamai, L., Flamini, E.,
VIS-NIR Imaging Spectroscopy of Mercury's Surface: SIMBIO-SYS/VIHI Experiment Onboard the BepiColombo Mission,
GeoRS(48), No. 11, November 2010, pp. 3932-3940.
IEEE DOI 1011
BibRef

Turner, J.,
Balloon-borne photography,
Spectrum(48), No. 2, February 2011, pp. 20-21.
IEEE DOI 1102
Hands On feature. Simple cheap aerial photos, how and issues. BibRef

Gong, P., Li, Z., Huang, H., Sun, G., Wang, L.,
ICESat GLAS Data for Urban Environment Monitoring,
GeoRS(49), No. 3, March 2011, pp. 1158-1172.
IEEE DOI 1103
BibRef

Prasad, S.[Saurabh], Bruce, L.M.[Lori M.], Chanussot, J.[Jocelyn], (Eds.)
Optical Remote Sensing: Advances in Signal Processing and Exploitation Techniques,
Springer2011, ISBN 978-3-642-14211-6
WWW Link. Buy this book: Optical Remote Sensing: Advances in Signal Processing and Exploitation Techniques (Augmented Vision and Reality) 1105
BibRef

Ünsalan, C.[Cem], Boyer, K.L.[Kim L.],
Multispectral Satellite Image Understanding: From Land Classification to Building and Road Detection,
Springer2011, ISBN: 978-0-85729-666-5
WWW Link. Buy this book: Multispectral Satellite Image Understanding: From Land Classification to Building and Road Detection (Advances in Computer Vision and Pattern Recognition) 1106
Review of methods for large data sets. Multi-spectral analysis, land use, residential regions, house, street networks. BibRef

Tuia, D.[Devis], Muñoz-Marí, J.[Jordi], Camps-Valls, G.[Gustavo],
Remote sensing image segmentation by active queries,
PR(45), No. 6, June 2012, pp. 2180-2192.
Elsevier DOI 1202
Active learning; Clustering; Linkage; Multiscale image segmentation; Remote sensing; Hyperspectral imagery; Multispectral imagery BibRef

Tuia, D.[Devis], Camps-Valls, G.[Gustavo],
Recent advances in remote sensing image processing,
ICIP09(3705-3708).
IEEE DOI 0911
BibRef

Ruiz, L.A., Recio, J.A., Fernández-Sarría, A., Hermosilla, T.,
A feature extraction software tool for agricultural object-based image analysis,
CompElAg(76), No. 2, May 2011, pp. 284-296.
Elsevier DOI 1204
Remote sensing, object-based image classification, descriptive feature extraction. BibRef

Slonecker, T., Fisher, G., Aiello, D., Haack, B.,
Visible and Infrared Remote Imaging of Hazardous Waste: A Review,
RS(2), No. 11, November 2010, pp. 2474-2508.
DOI Link 1203
BibRef

Honkavaara, E., Arbiol, R., Markelin, L., Martinez, L., Cramer, M., Bovet, S., Chandelier, L., Ilves, R., Klonus, S., Marshal, P., Schläpfer, D., Tabor, M., Thom, C., Veje, N.,
Digital Airborne Photogrammetry: A New Tool for Quantitative Remote Sensing?: A State-of-the-Art Review On Radiometric Aspects of Digital Photogrammetric Images,
RS(1), No. 3, September 2009, pp. 577-605.
DOI Link 1203
BibRef

Honkavaaraa, E., Arbiol, R., Markelin, L., Martinez, L., Cramer, M., Korpela, I., Bovet, S., Thom, C., Chandelier, L., Ilves, R., Klonus, S., Reulke, R., Marshal, P., Tabor, M., Scläpfer, D., Veje, N.,
Status report of the EuroSDR project 'Radiometric aspects of digital photogrammetric airborne images',
HighRes09(xx-yy).
PDF File. 0906
BibRef

Honkavaara, E., Arbiol, R., Markelin, L., Martínez, L., Bovet, S., Bredif, M., Chandelier, L., Heikkinen, V., Korpela, I., Lelegard, L., Pérez, F., Schläpfer, D., Tokola, T.,
EuroSDR project 'Radiometric aspects of digital photogrammetric images': Results of empirical phase,
HighRes11(xx-yy).
PDF File. 1106
BibRef

de Leeuw, J., Georgiadou, Y., Kerle, N., de Gier, A., Inoue, Y., Ferwerda, J., Smies, M., Narantuya, D.,
The Function of Remote Sensing in Support of Environmental Policy,
RS(2), No. 7, July 2010, pp. 1731-1750.
DOI Link 1203
BibRef

Kelly, M., Blanchard, S., Kersten, E., Koy, K.,
Terrestrial Remotely Sensed Imagery in Support of Public Health: New Avenues of Research Using Object-Based Image Analysis,
RS(3), No. 11, November 2011, pp. 2321-2345.
DOI Link 1203
BibRef

Brodzik, M.J.[Mary J.], Billingsley, B.[Brendan], Haran, T.[Terry], Raup, B.[Bruce], Savoie, M.H.[Matthew H.],
EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded Data Sets,
IJGI(1), No. 1, June 2012, pp. 32-45.
DOI Link 1203
BibRef
And: Correction: IJGI(3), No. 3, 2014, pp. 1154-1156.
DOI Link 1410
BibRef

Watts, A.C.[Adam C.], Ambrosia, V.G.[Vincent G.], Hinkley, E.A.[Everett A.],
Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use,
RS(4), No. 6, June 2012, pp. 1671-1692.
DOI Link 1208
Award, Remote Sensing, Special. BibRef

Egido, A., Caparrini, M., Ruffini, G., Paloscia, S., Santi, E., Guerriero, L., Pierdicca, N., Floury, N.,
Global Navigation Satellite Systems Reflectometry as a Remote Sensing Tool for Agriculture,
RS(4), No. 8, August 2012, pp. 2356-2372.
DOI Link 1209
BibRef

Pierdicca, N., Guerriero, L., Giusto, R., Brogioni, M., Egido, A.,
SAVERS: A Simulator of GNSS Reflections From Bare and Vegetated Soils,
GeoRS(52), No. 10, October 2014, pp. 6542-6554.
IEEE DOI 1407
Global Positioning System BibRef

Lato, M., Bevan, G., Fergusson, M.,
Gigapixel Imaging and Photogrammetry: Development of a New Long Range Remote Imaging Technique,
RS(4), No. 10, October 2012, pp. 3006-3021.
DOI Link 1210
BibRef

Lausch, A.[Angela], Pause, M.[Marion], Merbach, I.[Ines], Gwillym-Margianto, S.[Sarah], Schulz, K.[Karsten], Zacharias, S.[Steffen], Seppelt, R.[Ralf],
Scale-specific Hyperspectral Remote Sensing Approach in Environmental Research,
PFG(2012), No. 5, 2012, pp. 589-601.
WWW Link. 1211
BibRef

Atzberger, C.[Clement],
Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs,
RS(5), No. 2, February 2013, pp. 949-981.
DOI Link 1303
Award, Remote Sensing. BibRef
And: Correction: RS(5), No. 8, 2013, pp. 4124-4124.
DOI Link 1309
BibRef

Crawford, M.M., Tuia, D., Yang, H.L.,
Active Learning: Any Value for Classification of Remotely Sensed Data?,
PIEEE(100), No. 3, March 2013, pp. 593-608.
IEEE DOI 1303
BibRef

Pasolli, E., Yang, H.L., Crawford, M.M.,
Active-Metric Learning for Classification of Remotely Sensed Hyperspectral Images,
GeoRS(54), No. 4, April 2016, pp. 1925-1939.
IEEE DOI 1604
Feature extraction BibRef

Lacava, T.[Teodosio], Coviello, I., Faruolo, M., Mazzeo, G., Pergola, N.[Nicola], Tramutoli, V.[Valerio],
A Multitemporal Investigation of AMSR-E C-Band Radio-Frequency Interference,
GeoRS(51), No. 4, April 2013, pp. 2007-2015.
IEEE DOI 1304
for satellite communications. BibRef

Lacava, T.[Teodosio], Kervyn, M.[Matthieu], Liuzzi, M.[Mariangela], Marchese, F.[Francesco], Pergola, N.[Nicola], Tramutoli, V.[Valerio],
Assessing Performance of the RSTVOLC Multi-Temporal Algorithm in Detecting Subtle Hot Spots at Oldoinyo Lengai (Tanzania, Africa) for Comparison with MODLEN,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
Thermal anomalies, from volcano. BibRef

Langmore, I., Davis, A.B., Bal, G.,
Multipixel Retrieval of Structural and Optical Parameters in a 2-D Scene With a Path-Recycling Monte Carlo Forward Model and a New Bayesian Inference Engine,
GeoRS(51), No. 5, May 2013, pp. 2903-2919.
IEEE DOI 1305
Treaty verification applications. BibRef

Arvor, D.[Damien], Durieux, L.[Laurent], Andrés, S.[Samuel], Laporte, M.A.[Marie-Angélique],
Advances in Geographic Object-Based Image Analysis with ontologies: A review of main contributions and limitations from a remote sensing perspective,
PandRS(82), No. 1, August 2013, pp. 125-137.
Elsevier DOI 1306
Ontology; GEOBIA; Knowledge representation; Land cover; Interoperability BibRef

Miao, R.[Ru], Lu, N.[Ning], Yao, L.[Ling], Zhu, Y.Q.[Yun-Qiang], Wang, J.[Juanle], Sun, J.[Jiulin],
Multi-Year Comparison of Carbon Dioxide from Satellite Data with Ground-Based FTS Measurements (2003-2011),
RS(5), No. 7, 2013, pp. 3431-3456.
DOI Link 1308
BibRef

Greer, J.[John], Flake, J.C.[Justin Christopher], Busuioceanu, M.[Maria], Messinger, D.W.[David W.],
Compressive spectral imaging for accurate remote sensing,
SPIE(Newsroom), August 27 2013.
DOI Link 1310
A new imaging device based on compressive sensing accurately captures remote hyperspectral images with significantly fewer measurements than standard cameras. BibRef

Rasaiah, B.A.[Barbara A.], Jones, S.D.[Simon. D.], Bellman, C.[Chris], Malthus, T.J.[Tim J.],
Critical Metadata for Spectroscopy Field Campaigns,
RS(6), No. 5, 2014, pp. 3662-3680.
DOI Link 1407
BibRef
Earlier: A1, A2, A4, A3:
Critical Metadata Protocols in Hyperspectral Field Campaigns for Building Robust Hyperspectral Datasets,
ISPRS12(XXXIX-B2:161-165).
DOI Link 1209
BibRef

Rasaiah, B.A.[Barbara A.], Bellman, C.[Chris], Jones, S.D.[Simon. D.], Malthus, T.J.[Tim J.], Roelfsema, C.[Chris],
Towards an Interoperable Field Spectroscopy Metadata Standard with Extended Support for Marine Specific Applications,
RS(7), No. 11, 2015, pp. 15668.
DOI Link 1512
BibRef

Rasaiah, B.A.[Barbara A.], Jones, S.D.[Simon. D.], Bellman, C.[Chris], Malthus, T.J.[Tim J.], Hueni, A.[Andreas],
Assessing Field Spectroscopy Metadata Quality,
RS(7), No. 4, 2015, pp. 4499-4526.
DOI Link 1505
BibRef

van Doninck, J.[Jasper], de Baets, B.[Bernard], Peters, J.[Jan], Hendrickx, G.[Guy], Ducheyne, E.[Els], Verhoest, N.E.C.[Niko E.C.],
Modelling the Spatial Distribution of Culicoides imicola: Climatic versus Remote Sensing Data,
RS(6), No. 7, 2014, pp. 6604-6619.
DOI Link 1408
Virus vector in Mediterranean Basin. BibRef

Zhou, Y.C.[Yuan-Chun], Tang, M.J.[Ming-Jie], Pan, W.[Weike], Li, J.Y.[Jin-Yan], Wang, W.H.[Wei-Hang], Shao, J.[Jing], Wu, L.[Liang], Li, J.H.[Jian-Hui], Yang, Q.A.[Qi-Ang], Yan, B.P.[Bao-Ping],
Bird Flu Outbreak Prediction via Satellite Tracking,
IEEE_Int_Sys(29), No. 4, July 2014, pp. 10-17.
IEEE DOI 1411
biology computing BibRef

Suomalainen, J.[Juha], Anders, N.[Niels], Iqbal, S.[Shahzad], Roerink, G.[Gerbert], Franke, J.[Jappe], Wenting, P.[Philip], Hünniger, D.[Dirk], Bartholomeus, H.[Harm], Becker, R.[Rolf], Kooistra, L.[Lammert],
A Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles,
RS(6), No. 11, 2014, pp. 11013-11030.
DOI Link 1412
BibRef

Salamí, E.[Esther], Barrado, C.[Cristina], Pastor, E.[Enric],
UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas,
RS(6), No. 11, 2014, pp. 11051-11081.
DOI Link 1412
BibRef

Aplin, P.[Paul], Boyd, D.S.[Doreen S.],
Innovative Technologies for Terrestrial Remote Sensing,
RS(7), No. 4, 2015, pp. 4968-4972.
DOI Link 1505
BibRef

Kalluri, S.[Satya], Gundy, J.[James], Haman, B.[Brian], Paullin, A.[Anthony], van Rompay, P.[Paul], Vititoe, D.[David], Weiner, A.[Allan],
A High Performance Remote Sensing Product Generation System Based on a Service Oriented Architecture for the Next Generation of Geostationary Operational Environmental Satellites,
RS(7), No. 8, 2015, pp. 10385.
DOI Link 1509
BibRef

Ren, P.[Peng], Meng, Q.L.[Qing-Lin], Zhang, Y.F.[Yu-Feng], Zhao, L.H.[Li-Hua], Yuan, X.[Xu], Feng, X.H.[Xiao-Heng],
An Unmanned Airship Thermal Infrared Remote Sensing System for Low-Altitude and High Spatial Resolution Monitoring of Urban Thermal Environments: Integration and an Experiment,
RS(7), No. 10, 2015, pp. 14259.
DOI Link 1511
BibRef

Bi, S.[Siwen],
High-resolution imaging via quantum remote sensing,
SPIE(Newsroom), February 26, 2016
DOI Link 1602
Reducing quantum fluctuations in the electromagnetic field of light enables high-resolution images to be obtained via remote sensing with potential applications in satellite-borne systems. BibRef

Hu, Y.X.[Yu-Xing], Nie, L.Q.[Li-Qiang],
An aerial image recognition framework using discrimination and redundancy quality measure,
JVCIR(37), No. 1, 2016, pp. 53-62.
Elsevier DOI 1603
Aerial image. Grouped region level. BibRef

Guo, H.D.[Hua-Dong], Dou, C.Y.[Chang-Yong], Zhang, X.D.[Xiao-Dong], Han, C.M.[Chun-Ming], Yue, X.J.[Xi-Juan],
Earth observation from the manned low Earth orbit platforms,
PandRS(115), No. 1, 2016, pp. 103-118.
Elsevier DOI 1604
Manned low Earth Platform (MLEOP) BibRef

Vicent, J., Sabater, N., Tenjo, C., Acarreta, J.R., Manzano, M., Rivera, J.P., Jurado, P., Franco, R., Alonso, L., Verrelst, J., Moreno, J.,
FLEX End-to-End Mission Performance Simulator,
GeoRS(54), No. 7, July 2016, pp. 4215-4223.
IEEE DOI 1606
Atmospheric modeling BibRef

Hsiao, L.H.[Lin-Hsuan], Cheng, K.S.[Ke-Sheng],
Assessing Uncertainty in LULC Classification Accuracy by Using Bootstrap Resampling,
RS(8), No. 9, 2016, pp. 705.
DOI Link 1610
BibRef
Earlier:
Assessing Uncertainties in Accuracy of Landuse Classification Using Remote Sensing Images,
ISSDQ13(19-23).
DOI Link 1311
BibRef

Sun, Z.H.[Zi-Heng], Fang, H.[Hui], Di, L.P.[Li-Ping], Yue, P.[Peng], Tan, X.C.[Xi-Cheng], Bai, Y.Q.[Yu-Qi],
Developing a web-based system for supervised classification of remote sensing images,
GeoInfo(20), No. 4, October 2016, pp. 629-649.
Springer DOI 1610
Web-based system. BibRef

Chi, M., Plaza, A., Benediktsson, J.A., Sun, Z., Shen, J., Zhu, Y.,
Big Data for Remote Sensing: Challenges and Opportunities,
PIEEE(104), No. 11, November 2016, pp. 2207-2219.
IEEE DOI 1609
Big Data BibRef

Demattê, J.A.M.[José A. M.], Ramirez-Lopez, L.[Leonardo], Rizzo, R.[Rodnei], Nanni, M.R.[Marcos R.], Fiorio, P.R.[Peterson R.], Fongaro, C.T.[Caio T.], Neto, L.G.M.[Luiz G. Medeiros], Safanelli, J.L.[José L.], da S. Barros, P.P.[Pedro Paulo],
Remote Sensing from Ground to Space Platforms Associated with Terrain Attributes as a Hybrid Strategy on the Development of a Pedological Map,
RS(8), No. 10, 2016, pp. 826.
DOI Link 1609
BibRef

Safanelli, J.L.[José Lucas], Poppiel, R.R.[Raul Roberto], Ruiz, L.F.C.[Luis Fernando Chimelo], Bonfatti, B.R.[Benito Roberto], de Oliveira Mello, F.A.[Fellipe Alcantara], Rizzo, R.[Rodnei], Demattê, J.A.M.[José A. M.],
Terrain Analysis in Google Earth Engine: A Method Adapted for High-Performance Global-Scale Analysis,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Wang, S.G.[Shu-Guo], Li, X.[Xin], Ge, Y.[Yong], Jin, R.[Rui], Ma, M.G.[Ming-Guo], Liu, Q.H.[Qin-Huo], Wen, J.G.[Jian-Guang], Liu, S.M.[Shao-Min],
Validation of Regional-Scale Remote Sensing Products in China: From Site to Network,
RS(8), No. 12, 2016, pp. 980.
DOI Link 1612
BibRef

Li, X.[Xin], Wang, S.G.[Shu-Guo], Ge, Y.[Yong], Jin, R.[Rui], Liu, S.M.[Shao-Min], Ma, M.G.[Ming-Guo], Shi, W.Z., Li, R.X., Liu, Q.H.[Qin-Huo],
Development and Experimental Verification of Key Techniques to Validate Remote Sensing Products,
ISSDQ13(25-30).
DOI Link 1311
BibRef

Ge, Y.[Yong], Li, X.[Xin], Hu, M.G., Wang, J.H., Jin, R.[Rui], Wang, J.F., Zhang, R.H.,
Technical Specification for the Validation of Remote Sensing Products,
ISSDQ13(13-17).
DOI Link 1311
BibRef

Liu, X.F.[Xi-Feng], Yuan, Y.[Yunbin], Tan, B.F.[Bing-Feng], Li, M.[Min],
Observational Analysis of Variation Characteristics of GPS-Based TEC Fluctuation over China,
IJGI(5), No. 12, 2016, pp. 237.
DOI Link 1612
total electron content. BibRef

Yan, J.N.[Ji-Ning], Wang, L.Z.[Li-Zhe],
Suitability Evaluation for Products Generation from Multisource Remote Sensing Data,
RS(8), No. 12, 2016, pp. 995.
DOI Link 1612
Choosing the best data from the massive amount available today. BibRef

Martínez-de Dios, J.R.[José Ramiro], de San Bernabé, A.[Alberto], Viguria, A.[Antidio], Torres-González, A.[Arturo], Ollero, A.[Anibal],
Combining Unmanned Aerial Systems and Sensor Networks for Earth Observation,
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Tan, X.C.[Xi-Cheng], Guo, S.[Song], Di, L.P.[Li-Ping], Deng, M.[Meixia], Huang, F.[Fang], Ye, X.Y.[Xin-Yue], Sun, Z.H.[Zi-Heng], Gong, W.S.[Wei-Shu], Sha, Z.Y.[Zong-Yao], Pan, S.M.[Shao-Ming],
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Can a Machine Generate Humanlike Language Descriptions for a Remote Sensing Image?,
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IEEE DOI 1706
Airplanes, Airports, Convolution, Feature extraction, Optical imaging, Remote sensing, Semantics, Fully convolutional networks (FCNs), high-resolution optical remote sensing image, image understanding, remote, sensing, image, captioning BibRef

Elmore, P.A., Petry, F.E., Yager, R.R.,
Geospatial Modeling Using Dempster-Shafer Theory,
Cyber(47), No. 6, June 2017, pp. 1551-1561.
IEEE DOI 1706
Cybernetics, Decision making, Geometry, Geospatial analysis, Spatial databases, Uncertainty, Dempster-Shafer (D-S), geospatial data, spatial intervals, spatial relationships, uncertain line, uncertain point. BibRef

Tan, Z.Y.[Zhen-Yu], Yue, P.[Peng], Gong, J.Y.[Jian-Ya],
An Array Database Approach for Earth Observation Data Management and Processing,
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Higgons, R.[Robin],
Autonomous Remote Sensing: A Tale of Evolving, Emerging and Converging Technologies (Part 1),
SPIE(Newsroom), September 11, 2017
DOI Link 1709
The Centre for Earth Observation Instrumentation (CEOI) covers the rapid developments in autonomous remote sensing. BibRef

Rembold, F., Meroni, M., Urbano, F., Lemoine, G., Kerdiles, H., Perez-Hoyos, A., Csak, G.,
ASAP - Anomaly hot Spots of Agricultural Production, a new early warning decision support system developed by the Joint Research Centre,
MultiTemp17(1-5)
IEEE DOI 1712
crops, geographic information systems, geophysics computing, phenology, rain, vegetation mapping, ASAP system, early warning BibRef

Bégué, A.[Agnès], Arvor, D.[Damien], Bellon, B.[Beatriz], Betbeder, J.[Julie], de Abelleyra, D.[Diego], Ferraz, R.P.D.[Rodrigo P. D.], Lebourgeois, V.[Valentine], Lelong, C.[Camille], Simões, M.[Margareth], Verón, S.R.[Santiago R.],
Remote Sensing and Cropping Practices: A Review,
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Transon, J.[Julie], d'Andrimont, R.[Raphaël], Maugnard, A.[Alexandre], Defourny, P.[Pierre],
Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context,
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Survey of current hyperspectral Earth observation applications from space and synergies with Sentinel-2,
MultiTemp17(1-8)
IEEE DOI 1712
geophysical image processing, hyperspectral imaging, infrared imaging, remote sensing by radar, spaceborne radar, multi-temporal data BibRef

Sun, P.J.[Pei-Jun], Congalton, R.G.[Russell G.],
Using a Similarity Matrix Approach to Evaluate the Accuracy of Rescaled Maps,
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Han, X.P.[Xiao-Peng], Huang, X.[Xin], Li, J.Y.[Jia-Yi], Li, Y.S.[Yan-Sheng], Yang, M.Y.[Michael Ying], Gong, J.Y.[Jian-Ya],
The edge-preservation multi-classifier relearning framework for the classification of high-resolution remotely sensed imagery,
PandRS(138), 2018, pp. 57-73.
Elsevier DOI 1804
High spatial resolution, Spatial features, Landscape metric, Tri-training, classification post-processing (CPP) BibRef

Chen, X.R.[Xue-Rui], Jia, J.D.[Jing-Dun], Gao, W.L.[Wan-Lin], Ren, Y.Z.[Yan-Zhao], Tao, S.[Sha],
Selection of an index system for evaluating the application level of agricultural engineering technology,
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Elsevier DOI 1806
Agricultural engineering technology, Application level, Index system, Evaluation, Selection method BibRef

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Remote Sensing Big Data: Theory, Methods and Applications,
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Recent Progress and Developments in Imaging Spectroscopy,
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Paloscia, S.[Simonetta], Pampaloni, P.[Paolo], Santi, E.[Emanuele],
Radiometric Microwave Indices for Remote Sensing of Land Surfaces,
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Brown, M.E.[Molly E.], Escobar, V.M.[Vanessa M.],
NASA's Early Adopter Program Links Satellite Data to Decision Making,
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Wang, Y.J.[Yan-Jun], Chen, Q.[Qi], Zhu, Q.[Qing], Liu, L.[Lin], Li, C.K.[Chao-Kui], Zheng, D.Y.[Dun-Yong],
A Survey of Mobile Laser Scanning Applications and Key Techniques over Urban Areas,
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Kganyago, M.[Mahlatse], Mhangara, P.[Paidamwoyo],
The Role of African Emerging Space Agencies in Earth Observation Capacity Building for Facilitating the Implementation and Monitoring of the African Development Agenda: The Case of African Earth Observation Program,
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Arenas-Castro, S.[Salvador], Regos, A.[Adrián], Gonçalves, J.F.[João F.], Alcaraz-Segura, D.[Domingo], Honrado, J.[João],
Remotely Sensed Variables of Ecosystem Functioning Support Robust Predictions of Abundance Patterns for Rare Species,
RS(11), No. 18, 2019, pp. xx-yy.
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Fang, S.M.[Shi-Min], Zhou, X.G.[Xiao-Guang], Zhang, J.[Jing],
A Multilevel Mapping Strategy to Calculate the Information Content of Remotely Sensed Imagery,
IJGI(8), No. 10, 2019, pp. xx-yy.
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Zhang, Y.[Ying], Zhang, J.X.[Jing-Xiong], Yang, W.J.[Wen-Jing],
Quantifying Information Content in Multispectral Remote-Sensing Images Based on Image Transforms and Geostatistical Modelling,
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Robertson, C.[Colin], Chaudhuri, C.[Chiranjib], Hojati, M.[Majid], Roberts, S.A.[Steven A.],
An integrated environmental analytics system (IDEAS) based on a DGGS,
PandRS(162), 2020, pp. 214-228.
Elsevier DOI 2004
DGGS, Data model, Big data, Spatial data, Analytics, Environment BibRef

Malik, K.[Karim], Robertson, C.[Colin],
Landscape Similarity Analysis Using Texture Encoded Deep-Learning Features on Unclassified Remote Sensing Imagery,
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Ji, J.C.[Jun-Chao], Jing, W.P.[Wei-Peng], Chen, G.S.[Guang-Sheng], Lin, J.B.[Jing-Bo], Song, H.B.[Hou-Bing],
Multi-Label Remote Sensing Image Classification with Latent Semantic Dependencies,
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Wang, Y.Q.[Ye-Qiao], Lu, Z.[Zhong], Sheng, Y.W.[Yong-Wei], Zhou, Y.Y.[Yu-Yu],
Remote Sensing Applications in Monitoring of Protected Areas,
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Svendsen, D.H.[Daniel Heestermans], Morales-Álvarez, P.[Pablo], Ruescas, A.B.[Ana Belen], Molina, R.[Rafael], Camps-Valls, G.[Gustau],
Deep Gaussian processes for biogeophysical parameter retrieval and model inversion,
PandRS(166), 2020, pp. 68-81.
Elsevier DOI 2007
Applied to surface temperature and dew point temperature from infrared sounding data, as well as for the prediction of chlorophyll content, inorganic suspended matter, and coloured dissolved matter from multispectral data acquired by the Sentinel-3 OLCI sensor. Model inversion, Statistical retrieval, Deep Gaussian Processes, Machine learning, Moisture, Copernicus programme BibRef

Pilger, N.[Neal], Berg, A.[Aaron], Joosse, P.[Pamela],
Semi-Automated Roadside Image Data Collection for Characterization of Agricultural Land Management Practices,
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Lee, K.J.[Kwang-Jae], Chae, T.B.[Tae-Byeong], Jung, H.S.[Hyung-Sup],
Earth Observation from KOMPSAT Optical, Thermal, and Radar Satellite Images,
RS(13), No. 1, 2021, pp. xx-yy.
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Pastorino, M.[Martina], Montaldo, A.[Alessandro], Fronda, L.[Luca], Hedhli, I.[Ihsen], Moser, G.[Gabriele], Serpico, S.B.[Sebastiano B.], Zerubia, J.[Josiane],
Multisensor and Multiresolution Remote Sensing Image Classification through a Causal Hierarchical Markov Framework and Decision Tree Ensembles,
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Ruiz-de-Azua, J.A.[Joan A.], Garzaniti, N.[Nicola], Golkar, A.[Alessandro], Calveras, A.[Anna], Camps, A.[Adriano],
Towards Federated Satellite Systems and Internet of Satellites: The Federation Deployment Control Protocol,
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Bennett, M.M.[Mia M.], Faxon, H.O.[Hilary Oliva],
Uneven Frontiers: Exposing the Geopolitics of Myanmar's Borderlands with Critical Remote Sensing,
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Shi, H.Y.[Han-Yu], Xiao, Z.Q.[Zhi-Qiang], Wang, Q.[Qian], Wu, D.X.[Dong-Xing],
Multiparameter Estimation From Landsat Observations With Topographic Consideration,
GeoRS(59), No. 9, September 2021, pp. 7353-7369.
IEEE DOI 2109
Atmospheric modeling, Surface topography, Land surface, Estimation, Clouds, Remote sensing, Earth, Consistent estimation, Landsat, topographic effect BibRef

Gao, L.Q.[Ling-Qi], Yin, C.C.[Chang-Chun], Wang, N.[Ning], Zhu, J.[Jiao], Liu, Y.H.[Yun-He], Ren, X.[Xiuyan], Zhang, B.[Bo], Xiong, B.[Bin],
3D Wavelet Finite-Element Modeling of Frequency-Domain Airborne EM Data Based on B-Spline Wavelet on the Interval Using Potentials,
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Wu, Y.[Yue], Gong, M.[Maoguo], Miao, Q.G.[Qi-Guang], Qin, K.[Kai],
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Mertikas, S.P.[Stelios P.], Donlon, C.[Craig], Kokolakis, C.[Costas], Piretzidis, D.[Dimitrios], Cullen, R.[Robert], Féménias, P.[Pierre], Fornari, M.[Marco], Frantzis, X.[Xenophon], Tripolitsiotis, A.[Achilles], Bouffard, J.[Jérôme], di Bella, A.[Alessandro], Boy, F.[François], Saunier, J.[Jerome],
The ESA Permanent Facility for Altimetry Calibration in Crete: Advanced Services and the Latest Cal/Val Results,
RS(16), No. 2, 2024, pp. 223.
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Abdelmajeed, A.Y.A.[Abdallah Yussuf Ali], Juszczak, R.[Radoslaw],
Challenges and Limitations of Remote Sensing Applications in Northern Peatlands: Present and Future Prospects,
RS(16), No. 3, 2024, pp. 591.
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Lazar, M.[Michael], Cheng, L.[Linjing], Basson, U.[Uri],
Combined Geophysical Methods in Extreme Environments: An Example from the Dead Sea,
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Bayler, E.[Eric], Chang, P.S.[Paul S.], de la Cour, J.L.[Jacqueline L.], Helfrich, S.R.[Sean R.], Ignatov, A.[Alexander], Key, J.[Jeff], Lance, V.[Veronica], Leuliette, E.W.[Eric W.], Byrne, D.A.[Deirdre A.], Liu, Y.H.[Ying-Hui], Liu, X.M.[Xiao-Ming], Wang, M.[Menghua], Wei, J.W.[Jian-Wei], DiGiacomo, P.M.[Paul M.],
Satellite Oceanography in NOAA: Research, Development, Applications, and Services Enabling Societal Benefits from Operational and Experimental Missions,
RS(16), No. 14, 2024, pp. 2656.
DOI Link 2408
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Yu, Z.Y.[Zhao-Yuan], Li, D.[Dongshuang], Du, P.[Pei], Luo, W.[Wen], Kou, K.I.[Kit Ian], Bhatti, U.A.[Uzair Aslam], Benger, W.[Werner], Lv, G.N.[Guo-Nian], Yuan, L.[Linwang],
Hypercomplex Signal Processing in Digital Twin of the Ocean: Theory and application,
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IEEE DOI 2408
[Hypercomplex Signal and Image Processing] Analytical models, Computational modeling, Data visualization, Geoscience, Signal processing, Predictive models, Hypercomplex BibRef

Chen, Y.[Ya], Zheng, L.[Liang], Chen, X.P.[Xiao-Pan], Zheng, F.B.[Feng-Bin],
Remote Sensing Image Scene Classification Method Combined Attention Mechanism and Multiscale Feature,
ICIVC21(186-190)
IEEE DOI 2112
Image analysis, Fuses, Semantics, Benchmark testing, Feature extraction, Information retrieval, scene classification, remote sensing BibRef

Zhao, H.[Huai], Zhu, R.Y.[Ren-Yi], Guo, L.[Li], Xie, S.[Sanwu], Zhang, H.[Heng], Xue, B.[Bai], Yue, M.Y.[Ming-Yu],
A Comprehensive Monitoring Approach of Abnormal Problems for the Ecological Environment in Qinling Region,
ICIVC21(384-387)
IEEE DOI 2112
Satellites, Urban areas, Manuals, Forestry, Data processing, Security, Monitoring, ecological environment, Qinling mountain, problem spots discovery BibRef