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Evaluation, Classifiers.
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Abuelgasim, A.A.,
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Evaluation of National and Global LAI Products Derived From Optical
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Leaf Area Index
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Sanchez-Hernandez, C.[Carolina],
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One-Class Classification for Mapping a Specific Land-Cover Class:
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Discrimination of blackberry (Rubus fruticosus sp. agg.) using
hyperspectral imagery in Kosciuszko National Park, NSW, Australia,
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Hyperspectral imagery; Weeds; Blackberry; Ecosystem management
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Muad, A.M.,
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Chastain Jr., R.A.[Robert A.],
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Land Use and Land Cover Mapping in the Brazilian Amazon Using
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Designing a Multi-Objective, Multi-Support Accuracy Assessment of the
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Ndegwa Mundia, C.,
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1110
Land use and land cover (LULC) classification; Unsupervised
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Krishna Bahadur, K.C.,
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NDVI; NDII7; Land surface temperature; Semi-arid regions; Water status
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Moran, M.S.,
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Cendrero Mateo, M.P.,
de la Cruz, D.F.,
Montoro, A.,
A RADARSAT-2 Quad-Polarized Time Series for Monitoring Crop and Soil
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Naidoo, L.,
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Classification of savanna tree species, in the Greater Kruger National
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1202
Savanna tree species; Spectral variability; Tree height; Random Forest;
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Colgan, M.,
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Féret, J.,
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Mapping Savanna Tree Species at Ecosystem Scales Using Support Vector
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Baldeck, C.A.[Claire A.],
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Kumpula, T.,
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Dynamics of a Coupled System: Multi-Resolution Remote Sensing in
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Zhu, G.,
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Foliage Clumping Index Over China's Landmass Retrieved From the MODIS
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Bhandari, S.,
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Preparing Landsat Image Time Series (LITS) for Monitoring Changes in
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Xiong, Y.,
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The Impacts of Rapid Urbanization on the Thermal Environment:
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1208
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Santoro, M.,
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Higgins, M.,
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Thenkabail, P.,
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An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by
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Frey, C.,
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Flux Measurements in Cairo. Part 2: On the Determination of the Spatial
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NRT-Monitoring am Vulkanausbruch Eyjafjallajokull (Island) mit
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Theilen-Willige, B.[Barbara],
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Yin, H.,
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How Normalized Difference Vegetation Index (NDVI) Trendsfrom Advanced
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d'Observation de_la_Terre VEGETATION (SPOT VGT) Time Series Differ in
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Sohrabinia, M.,
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Analysis of MODIS LST Compared with WRF Model and in situ Data over the
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Sheldon, S.[Sage],
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PALSAR/ALOS; MODIS; Radar; SAR; Amazonia; Brazil
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Sanga-Ngoie, K.,
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Estimating CO2 Sequestration by Forests in Oita Prefecture, Japan, by
Combining LANDSAT ETM+ and ALOS Satellite Remote Sensing Data,
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1211
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Atkinson, D.,
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Arctic Ecological Classifications Derived from Vegetation Community and
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1211
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Lewis, D.,
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Cost-Effectiveness of Seven Approaches to Map Vegetation Communities:
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1302
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Shen, L.,
He, Y.,
Guo, X.,
Exploration of Loggerhead Shrike Habitats in Grassland National Park of
Canada Based on in Situ Measurements and Satellite-Derived Adjusted
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1302
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Flood, N.,
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An Operational Scheme for Deriving Standardised Surface Reflectance
from Landsat TM/ETM+ and SPOT HRG Imagery for Eastern Australia,
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1302
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Sun, J.,
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Remote Sensing-Based Fractal Analysis and Scale Dependence Associated
with Forest Fragmentation in an Amazon Tri-National Frontier,
RS(5), No. 2, February 2013, pp. 454-472.
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1303
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Bala, G.,
Joshi, J.,
Chaturvedi, R.,
Gangamani, H.,
Hashimoto, H.,
Nemani, R.,
Trends and Variability of AVHRR-Derived NPP in India,
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1303
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Luo, X.,
Chen, X.,
Xu, L.,
Myneni, R.,
Zhu, Z.,
Assessing Performance of NDVI and NDVI3g in Monitoring Leaf Unfolding
Dates of the Deciduous Broadleaf Forest in Northern China,
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1303
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Caumon, G.,
Gray, G.,
Antoine, C.,
Titeux, M.O.,
Three-Dimensional Implicit Stratigraphic Model Building From Remote
Sensing Data on Tetrahedral Meshes: Theory and Application to a
Regional Model of La Popa Basin, NE Mexico,
GeoRS(51), No. 3, March 2013, pp. 1613-1621.
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1303
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Choi, H.I.[Hyun Il],
Parameterization of High Resolution Vegetation Characteristics using
Remote Sensing Products for the Nakdong River Watershed, Korea,
RS(5), No. 2, February 2013, pp. 473-490.
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1303
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Choi, H.I.[Hyun Il],
Application of a Land Surface Model Using Remote Sensing Data for
High Resolution Simulations of Terrestrial Processes,
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1402
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Fan, F.,
Deng, Y.,
Hu, X.,
Weng, Q.,
Estimating Composite Curve Number Using an Improved SCS-CN Method with
Remotely Sensed Variables in Guangzhou, China,
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DOI Link
1304
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Gessner, U.,
Niklaus, M.,
Kuenzer, C.,
Dech, S.,
Intercomparison of Leaf Area Index Products for a Gradient of Sub-Humid
to Arid Environments in West Africa,
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DOI Link
1304
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van Leeuwen, W.,
Hartfield, K.,
Miranda, M.,
Meza, F.,
Trends and ENSO/AAO Driven Variability in NDVI Derived Productivity and
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1304
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Yeshaneh, E.,
Wagner, W.,
Exner-Kittridge, M.,
Legesse, D.,
Blöschl, G.,
Identifying Land Use/Cover Dynamics in the Koga Catchment, Ethiopia,
from Multi-Scale Data, and Implications for Environmental Change,
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1304
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Watanabe, F.,
Imai, N.,
Alcântara, E.,
da Silva Rotta, L.,
Utsumi, A.,
Signal Classification of Submerged Aquatic Vegetation Based on the
Hemispherical-Conical Reflectance Factor Spectrum Shape in the Yellow
and Red Regions,
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1305
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Pesci, A.[Arianna],
Teza, G.[Giordano],
Casula, G.[Giuseppe],
Fabris, M.[Massimo],
Bonforte, A.[Alessandro],
Remote Sensing and Geodetic Measurements for Volcanic Slope Monitoring:
Surface Variations Measured at Northern Flank of La Fossa Cone
(Vulcano Island, Italy),
RS(5), No. 5, 2013, pp. 2238-2256.
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1307
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Olsen, J.L.[Jørgen L.],
Ceccato, P.[Pietro],
Proud, S.R.[Simon R.],
Fensholt, R.[Rasmus],
Grippa, M.[Manuela],
Mougin, E.[Eric],
Ardö, J.[Jonas],
Sandholt, I.[Inge],
Relation between Seasonally Detrended Shortwave Infrared-Reflectance Data
and Land Surface Moisture in Semi-Arid Sahel,
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1307
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Senf, C.[Cornelius],
Pflugmacher, D.[Dirk],
van der Linden, S.[Sebastian],
Hostert, P.[Patrick],
Mapping Rubber Plantations and Natural Forests in Xishuangbanna
(Southwest China) Using Multi-Spectral Phenological
Metrics from MODIS Time Series,
RS(5), No. 6, 2013, pp. 2795-2812.
DOI Link
1307
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Kothe, S.[Steffen],
Good, E.[Elizabeth],
Obregón, A.[André],
Ahrens, B.[Bodo],
Nitsche, H.[Helga],
Satellite-Based Sunshine Duration for Europe,
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1307
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Kothe, S.[Steffen],
Pfeifroth, U.[Uwe],
Cremer, R.[Roswitha],
Trentmann, J.[Jörg],
Hollmann, R.[Rainer],
A Satellite-Based Sunshine Duration Climate Data Record for Europe
and Africa,
RS(9), No. 5, 2017, pp. xx-yy.
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1706
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You, X.Z.[Xing-Zhi],
Meng, J.[Jihua],
Zhang, M.[Miao],
Dong, T.F.[Tai-Feng],
Remote Sensing Based Detection of Crop Phenology for Agricultural
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1308
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Zhu, W.[Weining],
Yu, Q.[Qian],
Tian, Y.Q.[Yong Q.],
Uncertainty analysis of remote sensing of colored dissolved organic
matter: Evaluations and comparisons for three rivers in North America,
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Elsevier DOI
1309
Uncertainty analysis
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Qiao, Z.[Zhi],
Tian, G.J.[Guang-Jin],
Xiao, L.[Lin],
Diurnal and seasonal impacts of urbanization on the urban thermal
environment: A case study of Beijing using MODIS data,
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Elsevier DOI
1310
Urbanization
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Buck, O.[Oliver],
Klink, A.[Adrian],
Millán, V.E.G.[Virginia Elena García],
Pakzad, K.[Kian],
Müterthies, A.[Andreas],
Image Analysis Methods to Monitor Natura 2000 Habitats at Regional
Scales: the MS. MONINA State Service Example in Schleswig-Holstein,
Germany,
PFG(2013), No. 5, 2013, pp. 415-426.
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1310
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Miao, L.[Lijuan],
Luan, Y.[Yibo],
Luo, X.Z.[Xiang-Zhong],
Liu, Q.A.[Qi-Ang],
Moore, J.C.[John C.],
Nath, R.[Reshmita],
He, B.[Bin],
Zhu, F.[Feng],
Cui, X.F.[Xue-Feng],
Analysis of the Phenology in the Mongolian Plateau by
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1311
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Adar, S.[Simon],
Shkolnisky, Y.[Yoel],
Notesco, G.[Gila],
Ben-Dor, E.[Eyal],
Using Visible Spectral Information to Predict Long-Wave Infrared
Spectral Emissivity: A Case Study over the Sokolov Area of the Czech
Republic with an Airborne Hyperspectral Scanner Sensor,
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1312
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Ryan, C.M.,
Williams, M.,
Hill, T.C.,
Grace, J.,
Woodhouse, I.H.,
Assessing the Phenology of Southern Tropical Africa: A Comparison of
Hemispherical Photography, Scatterometry, and Optical/NIR Remote
Sensing,
GeoRS(52), No. 1, January 2014, pp. 519-528.
IEEE DOI
1402
infrared imaging
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Mallinis, G.[Giorgos],
Galidaki, G.[Georgia],
Gitas, I.[Ioannis],
A Comparative Analysis of EO-1 Hyperion, Quickbird and Landsat TM
Imagery for Fuel Type Mapping of a Typical Mediterranean Landscape,
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Alonso-Benito, A.[Alfonso],
Arroyo, L.A.[Lara A.],
Arbelo, M.[Manuel],
Hernández-Leal, P.[Pedro],
Fusion of WorldView-2 and LiDAR Data to Map Fuel Types in the Canary
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Vintrou, E.[Elodie],
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Baron, C.[Christian],
Saad, A.[Alexandre],
Seen, D.L.[Danny Lo],
Traoré, S.B.[Seydou B.],
A Comparative Study on Satellite- and Model-Based Crop Phenology in
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1403
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Zhang, Z.M.[Zhi-Ming],
van Coillie, F.[Frieke],
Ou, X.K.[Xiao-Kun],
de Wulf, R.[Robert],
Integration of Satellite Imagery, Topography and Human Disturbance
Factors Based on Canonical Correspondence Analysis Ordination for
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Scheftic, W.[William],
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Broxton, P.[Patrick],
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Intercomparison of Seven NDVI Products over the United States and
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See also Snow Cover Variations and Controlling Factors at Upper Heihe River Basin, Northwestern China.
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Cerrado
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Agricultural land
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Land cover and land use
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A Conversion Method to Determine the Regional Vegetation Cover Factor
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Naderpour, R.[Reza],
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Novillo, C.J.[Carlos J.],
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Memarbashi, E.[Elnaz],
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Land-Use Suitability in Northeast Iran:
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1801
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Wang, J.L.[Juan-Le],
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Using Monte Carlo Simulation to Improve the Performance of
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1801
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Song, R.F.[Ren-Fei],
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Improving Selection of Spectral Variables for Vegetation
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Velazco, V.A.[Voltaire A.],
Morino, I.[Isamu],
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Kiel, M.[Matthäus],
Bukosa, B.[Beata],
Deutscher, N.M.[Nicholas M.],
Sakai, T.[Tetsu],
Nagai, T.[Tomohiro],
Bagtasa, G.[Gerry],
Izumi, T.[Toshiharu],
Yoshida, Y.[Yukio],
Griffith, D.W.T.[David W. T.],
TCCON Philippines: First Measurement Results, Satellite Data and
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1802
BibRef
Peter, J.S.[Joseph St.],
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Fine Resolution Probabilistic Land Cover Classification of Landscapes
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IJGI(7), No. 3, 2018, pp. xx-yy.
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1804
BibRef
Lin, X.W.[Xing-Wen],
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Wu, S.B.[Sheng-Biao],
Hao, D.L.[Da-Lei],
Wu, X.D.[Xiao-Dan],
A Multi-Scale Validation Strategy for Albedo Products over Rugged
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1804
BibRef
Shang, E.[Erping],
Xu, E.[Erqi],
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Analysis of Spatiotemporal Dynamics of the Chinese Vegetation Net
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1806
BibRef
Tsai, Y.H.[Yu Hsin],
Stow, D.[Douglas],
Chen, H.L.[Hsiang Ling],
Lewison, R.[Rebecca],
An, L.[Li],
Shi, L.[Lei],
Mapping Vegetation and Land Use Types in Fanjingshan National Nature
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DOI Link
1806
BibRef
Lee, D.[Dabin],
Son, S.[Seung_Hyun],
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Park, J.M.[Joo Myun],
Joo, H.[Huitae],
Lee, S.H.[Sang Heon],
Spatio-Temporal Variability of the Habitat Suitability Index for Chub
Mackerel (Scomber Japonicus) in the East/Japan Sea and the South Sea
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RS(10), No. 6, 2018, pp. xx-yy.
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1806
BibRef
Ndikumana, E.[Emile],
Minh, D.H.T.[Dinh Ho Tong],
Baghdadi, N.[Nicolas],
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Deep Recurrent Neural Network for Agricultural Classification using
multitemporal SAR Sentinel-1 for Camargue, France,
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1809
BibRef
Manabe, V.D.[Víctor Danilo],
Melo, M.R.S.[Marcio R. S.],
Rocha, J.V.[Jansle Vieira],
Framework for Mapping Integrated Crop-Livestock Systems in Mato
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RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Liang, S.L.[Shun-Lin],
Shi, J.C.[Jian-Cheng],
Yan, G.[Guangjian],
Recent Progress in Quantitative Land Remote Sensing in China,
RS(10), No. 9, 2018, pp. xx-yy.
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1810
BibRef
Cosoli, S.[Simone],
Grcic, B.[Badema],
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Improving Data Quality for the Australian High Frequency Ocean Radar
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1810
BibRef
Cosoli, S.[Simone],
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Interoperability of Direction-Finding and Beam-Forming High-Frequency
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1902
BibRef
Torres de Almeida, C.[Catherine],
Delgado, R.C.[Rafael Coll],
Galvão, L.S.[Lênio Soares],
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Ramos, M.C.[María Concepción],
Improvements of the MODIS Gross Primary Productivity model based on a
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PandRS(145), 2018, pp. 268-283.
Elsevier DOI
1811
Amazon, Savanna, Validation, MOD17A2, Light use efficiency
BibRef
Souza-Filho, P.W.M.[Pedro Walfir M.],
Nascimento, W.R.[Wilson R.],
Santos, D.C.[Diogo C.],
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Silva, R.O.[Renato O.],
Siqueira, J.O.[José O.],
A GEOBIA Approach for Multitemporal Land-Cover and Land-Use Change
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DOI Link
1812
BibRef
Samasse, K.[Kaboro],
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Assessing Cropland Area in West Africa for Agricultural Yield
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DOI Link
1812
BibRef
Hu, Y.F.[Yun-Feng],
Zhang, Q.L.[Qian-Li],
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Yan, H.M.[Hui-Min],
A Deep Convolution Neural Network Method for Land Cover Mapping:
A Case Study of Qinhuangdao, China,
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DOI Link
1901
BibRef
Scarth, P.[Peter],
Armston, J.[John],
Lucas, R.[Richard],
Bunting, P.[Peter],
A Structural Classification of Australian Vegetation Using
ICESat/GLAS, ALOS PALSAR, and Landsat Sensor Data,
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DOI Link
1902
BibRef
Sedano, F.[Fernando],
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A Mapping Framework to Characterize Land Use in the Sudan-Sahel
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DOI Link
1903
BibRef
Li, S.C.[Shi-Cheng],
Bing, Z.[Zilu],
Jin, G.[Gui],
Spatially Explicit Mapping of Soil Conservation Service in Monetary
Units Due to Land Use/Cover Change for the Three Gorges Reservoir
Area, China,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link
1903
BibRef
García, M.A.[Miguel A.],
Moutahir, H.[Hassane],
Casady, G.M.[Grant M.],
Bautista, S.[Susana],
Rodríguez, F.[Francisco],
Using Hidden Markov Models for Land Surface Phenology: An Evaluation
Across a Range of Land Cover Types in Southeast Spain,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Tian, H.F.[Hai-Feng],
Huang, N.[Ni],
Niu, Z.[Zheng],
Qin, Y.[Yuchu],
Pei, J.[Jie],
Wang, J.[Jian],
Mapping Winter Crops in China with Multi-Source Satellite Imagery and
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DOI Link
1904
BibRef
Bright, R.M.[Ryan M.],
Astrup, R.[Rasmus],
Combining MODIS and National Land Resource Products to Model Land
Cover-Dependent Surface Albedo for Norway,
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DOI Link
1904
BibRef
Shrestha, M.[Mahesh],
Leigh, L.[Larry],
Helder, D.[Dennis],
Classification of North Africa for Use as an Extended Pseudo
Invariant Calibration Sites (EPICS) for Radiometric Calibration and
Stability Monitoring of Optical Satellite Sensors,
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DOI Link
1904
BibRef
Hasan, M.N.[Md Nahid],
Shrestha, M.[Mahesh],
Leigh, L.[Larry],
Helder, D.[Dennis],
Evaluation of an Extended PICS (EPICS) for Calibration and Stability
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DOI Link
1908
BibRef
Shrestha, M.[Mahesh],
Hasan, M.N.[M. Nahid],
Leigh, L.[Larry],
Helder, D.[Dennis],
Extended Pseudo Invariant Calibration Sites (EPICS) for the
Cross-Calibration of Optical Satellite Sensors,
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DOI Link
1908
BibRef
Scheick, J.[Jessica],
Enderlin, E.M.[Ellyn M.],
Miller, E.E.[Emily E.],
Hamilton, G.[Gordon],
First-Order Estimates of Coastal Bathymetry in Ilulissat and
Naajarsuit Fjords, Greenland, from Remotely Sensed Iceberg
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RS(11), No. 8, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Gómez Giménez, M.[Marta],
de Jong, R.[Rogier],
Keller, A.[Armin],
Rihm, B.[Beat],
Schaepman, M.E.[Michael E.],
Studying the Influence of Nitrogen Deposition, Precipitation,
Temperature, and Sunshine in Remotely Sensed Gross Primary Production
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DOI Link
1905
BibRef
Choi, M.[Minjoo],
De Silva, L.W.A.[Liyanarachchi Waruna Arampath],
Yamaguchi, H.[Hajime],
Artificial Neural Network for the Short-Term Prediction of Arctic Sea
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DOI Link
1905
BibRef
Kim, J.I.[Jae-In],
Hyun, C.U.[Chang-Uk],
Han, H.S.[Hyang-Sun],
Kim, H.C.[Hyun-Cheol],
Evaluation of Matching Costs for High-Quality Sea-Ice Surface
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1905
BibRef
Ilisei, A.,
Khodadadzadeh, M.,
Ferro, A.,
Bruzzone, L.,
An Automatic Method for Subglacial Lake Detection in Ice Sheet Radar
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IEEE DOI
1906
Lakes, Ice, Feature extraction, Support vector machines, Antarctica,
Radar detection, Automatic detection, ice sheet,
subglacial lakes (SLs)
BibRef
Komarov, A.S.,
Buehner, M.,
Improved Retrieval of Ice and Open Water From Sequential RADARSAT-2
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GeoRS(57), No. 6, June 2019, pp. 3694-3702.
IEEE DOI
1906
Ice, Synthetic aperture radar, Wind speed, Probability,
Image analysis, Data assimilation, Arctic, Ice motion,
synthetic aperture radar (SAR)
BibRef
Shen, X.Y.[Xiao-Yi],
Similä, M.[Markku],
Dierking, W.[Wolfgang],
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Liu, M.[Meijie],
Wang, M.[Manman],
A New Retracking Algorithm for Retrieving Sea Ice Freeboard from
CryoSat-2 Radar Altimeter Data during Winter-Spring Transition,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Kang, J.M.[Jun-Mei],
Sui, L.C.[Li-Chun],
Yang, X.M.[Xiao-Mei],
Wang, Z.H.[Zhi-Hua],
Huang, C.[Chong],
Wang, J.[Jun],
Spatial Pattern Consistency among Different Remote-Sensing Land Cover
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IJGI(8), No. 5, 2019, pp. xx-yy.
DOI Link
1906
BibRef
de Souza Mendes, F.[Flávia],
Baron, D.[Daniel],
Gerold, G.[Gerhard],
Liesenberg, V.[Veraldo],
Erasmi, S.[Stefan],
Optical and SAR Remote Sensing Synergism for Mapping Vegetation Types
in the Endangered Cerrado/Amazon Ecotone of Nova Mutum: Mato Grosso,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Marshall, S.[Stephen],
Scott, K.A.[K. Andrea],
Scharien, R.K.[Randall K.],
Passive Microwave Melt Onset Retrieval Based on a Variable Threshold:
Assessment in the Canadian Arctic Archipelago,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Chen, X.[Xiang],
Wang, T.[Tao],
Liu, S.[Shulin],
Peng, F.[Fei],
Tsunekawa, A.[Atsushi],
Kang, W.P.[Wen-Ping],
Guo, Z.C.[Zi-Chen],
Feng, K.[Kun],
A New Application of Random Forest Algorithm to Estimate Coverage of
Moss-Dominated Biological Soil Crusts in Semi-Arid Mu Us Sandy Land,
China,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Landy, J.C.,
Tsamados, M.,
Scharien, R.K.,
A Facet-Based Numerical Model for Simulating SAR Altimeter Echoes
From Heterogeneous Sea Ice Surfaces,
GeoRS(57), No. 7, July 2019, pp. 4164-4180.
IEEE DOI
1907
Sea surface, Surface topography, Rough surfaces, Surface roughness,
Sea ice, Numerical models, Numerical analysis, modeling,
synthetic aperture radar (SAR)
BibRef
Dong, C.M.[Chang-Ming],
Gao, X.Q.[Xiao-Qian],
Zhang, Y.M.[Yi-Ming],
Yang, J.S.[Jing-Song],
Zhang, H.[Hongchun],
Chao, Y.[Yi],
Multiple-Scale Variations of Sea Ice and Ocean Circulation in the
Bering Sea Using Remote Sensing Observations and Numerical Modeling,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Jiang, C.[Chengfei],
Lin, M.[Mingsen],
Wei, H.[Hao],
A Study of the Technology Used to Distinguish Sea Ice and Seawater on
the Haiyang-2A/B (HY-2A/B) Altimeter Data,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Lohse, J.[Johannes],
Doulgeris, A.P.[Anthony P.],
Dierking, W.[Wolfgang],
An Optimal Decision-Tree Design Strategy and Its Application to Sea
Ice Classification from SAR Imagery,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link
1907
BibRef
De Giglio, M.[Michaela],
Greggio, N.[Nicolas],
Goffo, F.[Floriano],
Merloni, N.[Nicola],
Dubbini, M.[Marco],
Barbarella, M.[Maurizio],
Comparison of Pixel- and Object-Based Classification Methods of
Unmanned Aerial Vehicle Data Applied to Coastal Dune Vegetation
Communities: Casal Borsetti Case Study,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Mariathasan, V.[Vincent],
Bezuidenhoudt, E.[Enrico],
Olympio, K.R.[K. Raymond],
Evaluation of Earth Observation Solutions for Namibia's SDG
Monitoring System,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Marzialetti, F.[Flavio],
Giulio, S.[Silvia],
Malavasi, M.[Marco],
Sperandii, M.G.[Marta Gaia],
Acosta, A.T.R.[Alicia Teresa Rosario],
Carranza, M.L.[Maria Laura],
Capturing Coastal Dune Natural Vegetation Types Using a
Phenology-Based Mapping Approach: The Potential of Sentinel-2,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Zhang, Z.,
Yu, Y.,
Li, X.,
Hui, F.,
Cheng, X.,
Chen, Z.,
Arctic Sea Ice Classification Using Microwave Scatterometer and
Radiometer Data During 2002-2017,
GeoRS(57), No. 8, August 2019, pp. 5319-5328.
IEEE DOI
1908
oceanographic regions, oceanographic techniques, radar imaging,
radiometry, sea ice, synthetic aperture radar,
sea ice classification
BibRef
Zhang, S.[Shuai],
Pavelsky, T.M.[Tamlin M.],
Remote Sensing of Lake Ice Phenology across a Range of Lakes Sizes,
ME, USA,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Alam, S.[Sarfaraz],
Gebremichael, M.[Mekonnen],
Li, R.[Ruopu],
Remote Sensing-Based Assessment of the Crop, Energy and Water Nexus
in the Central Valley, California,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Petrou, Z.I.,
Tian, Y.,
Prediction of Sea Ice Motion With Convolutional Long Short-Term
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GeoRS(57), No. 9, September 2019, pp. 6865-6876.
IEEE DOI
1909
Sea ice, Predictive models, Arctic, Data models,
Atmospheric modeling, Numerical models, Microwave radiometry,
recurrent neural networks (RNNs)
BibRef
Borsa, A.A.,
Fricker, H.A.,
Brunt, K.M.,
A Terrestrial Validation of ICESat Elevation Measurements and
Implications for Global Reanalyses,
GeoRS(57), No. 9, September 2019, pp. 6946-6959.
IEEE DOI
1909
Ice, Sea surface, Lasers, Orbits, Tracking,
Extraterrestrial measurements, Standards, Ice sheets,
system validation
BibRef
Samat, A.[Alim],
Yokoya, N.[Naoto],
Du, P.J.[Pei-Jun],
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Issanova, G.[Gulnura],
Saparov, A.[Abdula],
Abuduwaili, J.[Jilili],
Lin, C.[Cong],
Direct, ECOC, ND and END Frameworks: Which One Is the Best? An
Empirical Study of Sentinel-2A MSIL1C Image Classification for
Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Chen, Y.[Yanan],
Gu, H.F.[Hong-Fan],
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Gu, Q.[Qing],
Ding, Z.[Zhi],
Ma, M.G.[Ming-Guo],
Liu, R.Y.[Rong-Yuan],
Tang, X.G.[Xu-Guang],
Contrasting Performance of the Remotely-Derived GPP Products over
Different Climate Zones across China,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link
1909
GPP: gross primary production.
BibRef
Barbat, M.M.[Mauro M.],
Wesche, C.[Christine],
Werhli, A.V.[Adriano V.],
Mata, M.M.[Mauricio M.],
An adaptive machine learning approach to improve automatic iceberg
detection from SAR images,
PandRS(156), 2019, pp. 247-259.
Elsevier DOI
1909
Icebergs, Detection, SAR, Southern Ocean, Machine learning
BibRef
Wang, Q.[Qingkai],
Lu, P.[Peng],
Zu, Y.[Yongheng],
Li, Z.J.[Zhi-Jun],
Leppäranta, M.[Matti],
Zhang, G.[Guiyong],
Comparison of Passive Microwave Data with Shipborne Photographic
Observations of Summer Sea Ice Concentration along an Arctic Cruise
Path,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Idzelyte, R.[Rasa],
Kozlov, I.E.[Igor E.],
Umgiesser, G.[Georg],
Remote Sensing of Ice Phenology and Dynamics of Europe's Largest
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RS(11), No. 17, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Han, Y.L.[Yan-Ling],
Gao, Y.[Yi],
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Hyperspectral Sea Ice Image Classification Based on the
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1909
BibRef
Bielecka, E.[Elzbieta],
Jenerowicz, A.[Agnieszka],
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Fisher, D.,
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Chen, J.Q.[Jun-Qing],
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Raju, P.L.N.,
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Jeyaram, A.,
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A Case Study of a Forest Carbon Stock Monitoring System for Redd+ in
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Huang, F.,
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Trajectory Analysis Of Forest Changes In Northern Area Of Changbai
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Yang, K.,
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A Study On The Comprehensive Simulation Of Nonpoint Source Pollution
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Bektas Balcik, F.,
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Bhandari, K.P.,
Participatory GIS for Soil Conservation In Phewa Watershed Of Nepal,
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Monitoring Of Agricultural Landscape In Norway,
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Optimization of Decision-making for Spatial Sampling in the North China
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Lu, L.,
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Koarai, M.,
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Geographical Information Analysis Of Tsunami Flooded Area By The Great
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Wu, H.,
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Monitoring of Glacial Change in the Head of the Yangtze River From 1997
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Liu, X.,
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Fusion Of Optical Data and SAR Data for the Estimation of Nitrogen
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Parks, S.M.,
Synthetic Aperture Radar (SAR) and Optical Imagery Data Fusion:
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Sahlin, J.,
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Gao, Z.H.[Zhi-Hong],
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Liu, D.Z.[Da-Zhao],
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Land Cover Classification and Monitoring in Northeast Thailand Using
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Application of Landsat TM 5 images to supervised and non-supervised
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Smith, G.,
The development of integrated object-based analysis of EO data within
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Large area QuickBird imagery for object-based image analysis in Western
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Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Applied Change Analysis, Specific Location Applications, Site Specific Temporal .