23.2.5 Global-Scale Analysis, Global Land Cover Analysis

Chapter Contents (Back)
Global Land Cover. Remote Sensing. Land Cover.
See also Gross Primary Production, Net Primary Production, GPP, NPP.

Deng, F., Chen, J.M., Plummer, S., Chen, M., Pisek, J.,
Algorithm for Global Leaf Area Index Retrieval Using Satellite Imagery,
GeoRS(44), No. 8, August 2006, pp. 2219-2229.
IEEE DOI 0608
BibRef

Pittman, K., Hansen, M., Becker-Reshef, I., Potapov, P., Justice, C.,
Estimating Global Cropland Extent with Multi-year MODIS Data,
RS(2), No. 7, July 2010, pp. 1844-1863.
DOI Link 1203
BibRef

Becker-Reshef, I., Justice, C., Sullivan, M., Vermote, E., Tucker, C., Anyamba, A., Small, J., Pak, E.[Ed], Masuoka, E.[Ed], Schmaltz, J., Hansen, M., Pittman, K., Birkett, C., Williams, D., Reynolds, C., Doorn, B.,
Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project,
RS(2), No. 6, June 2010, pp. 1589-1609.
DOI Link 1203
BibRef

Yamamoto, H., Miura, T., Tsuchida, S.,
Advanced Spaceborne Thermal Emission and Reflection Radometer (ASTER) Enhanced Vegetation Index (EVI) Products from Global Earth Observation (GEO) Grid: An Assessment Using Moderate Resolution Imaging Spectroradiometer (MODIS) for Synergistic Applications,
RS(4), No. 8, August 2012, pp. 2277-2293.
DOI Link 1209
BibRef

Ren, Liang, S., Yan, G., Cheng, J.,
Empirical Algorithms to Map Global Broadband Emissivities Over Vegetated Surfaces,
GeoRS(51), No. 5, May 2013, pp. 2619-2631.
IEEE DOI 1305
BibRef

Vancutsem, C., Marinho, E., Kayitakire, F., See, L., Fritz, S.,
Harmonizing and Combining Existing Land Cover/Land Use Datasets for Cropland Area Monitoring at the African Continental Scale,
RS(5), No. 1, January 2013, pp. 19-41.
DOI Link 1302
BibRef

Zhao, X.[Xiang], Liang, S.L.[Shun-Lin], Liu, S.H.[Su-Hong], Yuan, W.P.[Wen-Ping], Xiao, Z.Q.[Zhi-Qiang], Liu, Q.A.[Qi-Ang], Cheng, J.[Jie], Zhang, X.T.[Xiao-Tong], Tang, H.R.[Hai-Rong], Zhang, X.[Xin], Liu, Q.A.[Qi-Ang], Zhou, G.Q.[Gong-Qi], Xu, S.[Shuai], Yu, K.[Kai],
The Global Land Surface Satellite (GLASS) Remote Sensing Data Processing System and Products,
RS(5), No. 5, 2013, pp. 2436-2450.
DOI Link 1307
BibRef

Cook, B.I.[Benjamin I.], Pau, S.[Stephanie],
A Global Assessment of Long-Term Greening and Browning Trends in Pasture Lands Using the GIMMS LAI3g Dataset,
RS(5), No. 5, 2013, pp. 2492-2512.
DOI Link 1307
BibRef

Hermuche, P.M.[Potira Meirelles], Albuquerque Maranhão, R.L.[Rebecca Lima], Guimarães, R.F.[Renato Fontes], de Carvalho, O.A.[Osmar Abílio], Trancoso Gomes, R.A.[Roberto Arnaldo], Paiva, S.R.[Samuel Rezende], McManus, C.[Concepta],
Dynamics of Sheep Production in Brazil,
IJGI(2), No. 3, 2013, pp. 665-679.
DOI Link 1310
BibRef

Atzberger, C.[Clement], Klisch, A.[Anja], Mattiuzzi, M.[Matteo], Vuolo, F.[Francesco],
Phenological Metrics Derived over the European Continent from NDVI3g Data and MODIS Time Series,
RS(6), No. 1, 2013, pp. 257-284.
DOI Link 1402
BibRef

Klisch, A.[Anja], Atzberger, C.[Clement],
Evaluating Phenological Metrics derived from the MODIS Time Series over the European Continent,
PFG(2014), No. 5, 2014, pp. 409-421.
DOI Link 1411
BibRef

Li, L.[Le], Friedl, M.A.[Mark A.], Xin, Q.C.[Qin-Chuan], Gray, J.[Josh], Pan, Y.Z.[Yao-Zhong], Frolking, S.[Steve],
Mapping Crop Cycles in China Using MODIS-EVI Time Series,
RS(6), No. 3, 2014, pp. 2473-2493.
DOI Link 1404
BibRef

Radoux, J.[Julien], Lamarche, C.[Céline], van Bogaert, E.[Eric], Bontemps, S.[Sophie], Brockmann, C.[Carsten], Defourny, P.[Pierre],
Automated Training Sample Extraction for Global Land Cover Mapping,
RS(6), No. 5, 2014, pp. 3965-3987.
DOI Link 1407
BibRef

Xia, J.Z.[Jiang-Zhou], Liu, S.G.[Shu-Guang], Liang, S.L.[Shun-Lin], Chen, Y.[Yang], Xu, W.F.[Wen-Fang], Yuan, W.P.[Wen-Ping],
Spatio-Temporal Patterns and Climate Variables Controlling of Biomass Carbon Stock of Global Grassland Ecosystems from 1982 to 2006,
RS(6), No. 3, 2014, pp. 1783-1802.
DOI Link 1404
BibRef

Congalton, R.G.[Russell G.], Gu, J.Y.[Jian-Yu], Yadav, K.[Kamini], Thenkabail, P.[Prasad], Ozdogan, M.[Mutlu],
Global Land Cover Mapping: A Review and Uncertainty Analysis,
RS(6), No. 12, 2014, pp. 12070-12093.
DOI Link 1412
BibRef

Whitcraft, A.K.[Alyssa K.], Becker-Reshef, I.[Inbal], Justice, C.O.[Christopher O.],
A Framework for Defining Spatially Explicit Earth Observation Requirements for a Global Agricultural Monitoring Initiative (GEOGLAM),
RS(7), No. 2, 2015, pp. 1461-1481.
DOI Link 1503
BibRef

Ban, Y.F.[Yi-Fang], Gong, P.[Peng], Giri, C.[Chandra],
Global land cover mapping using Earth observation satellite data: Recent progresses and challenges,
PandRS(103), No. 1, 2015, pp. 1-6.
Elsevier DOI 1504
BibRef

Chen, J.[Jun], Chen, J.[Jin], Liao, A.[Anping], Cao, X.[Xin], Chen, L.J.[Li-Jun], Chen, X.[Xuehong], He, C.Y.[Chao-Ying], Han, G.[Gang], Peng, S.[Shu], Lu, M.[Miao], Zhang, W.W.[Wei-Wei], Tong, X.H.[Xiao-Hua], Mills, J.[Jon],
Global land cover mapping at 30M resolution: A POK-based operational approach,
PandRS(103), No. 1, 2015, pp. 7-27.
Elsevier DOI 1504
Global land cover BibRef

Clinton, N.[Nicholas], Yu, L.[Le], Gong, P.[Peng],
Geographic stacking: Decision fusion to increase global land cover map accuracy,
PandRS(103), No. 1, 2015, pp. 57-65.
Elsevier DOI 1504
Land cover BibRef

Tsendbazar, N.E., de Bruin, S., Herold, M.,
Assessing global land cover reference datasets for different user communities,
PandRS(103), No. 1, 2015, pp. 93-114.
Elsevier DOI 1504
Global land cover BibRef

Belward, A.S.[Alan S.], Skøien, J.O.[Jon O.],
Who launched what, when and why; trends in global land-cover observation capacity from civilian earth observation satellites,
PandRS(103), No. 1, 2015, pp. 115-128.
Elsevier DOI 1504
Land-cover mapping BibRef

Kappas, M.[Martin], Propastin, P.[Pavel], Degener, J.[Jan], Renchin, T.[Tsolmon],
Inter-Comparison and Evaluation of the Global LAI Product (LAI3g) and the Regional LAI Product (GGRS-LAI) over the Area of Kazakhstan,
RS(7), No. 4, 2015, pp. 3760-3782.
DOI Link 1505
BibRef

Wu, B.F.[Bing-Fang], Gommes, R.[René], Zhang, M.[Miao], Zeng, H.W.[Hong-Wei], Yan, N.[Nana], Zou, W.T.[Wen-Tao], Zheng, Y.[Yang], Zhang, N.[Ning], Chang, S.[Sheng], Xing, Q.A.[Qi-Ang], van Heijden, A.[Anna],
Global Crop Monitoring: A Satellite-Based Hierarchical Approach,
RS(7), No. 4, 2015, pp. 3907-3933.
DOI Link 1505
BibRef

Zhao, C.H.[Chun-Hui], Wang, Y.[Yulei], Qi, B.[Bin], Wang, J.[Jia],
Global and Local Real-Time Anomaly Detectors for Hyperspectral Remote Sensing Imagery,
RS(7), No. 4, 2015, pp. 3966-3985.
DOI Link 1505
BibRef

Brovelli, M.A.[Maria Antonia], Molinari, M.E.[Monia Elisa], Hussein, E.[Eman], Chen, J.[Jun], Li, R.[Ran],
The First Comprehensive Accuracy Assessment of GlobeLand30 at a National Level: Methodology and Results,
RS(7), No. 4, 2015, pp. 4191-4212.
DOI Link 1505
BibRef

Karydas, C.G.[Christos G.], Gitas, I.Z.[Ioannis Z.], Kuntz, S.[Steffen], Minakou, C.[Chara],
Use of LUCAS LC Point Database for Validating Country-Scale Land Cover Maps,
RS(7), No. 5, 2015, pp. 5012-5041.
DOI Link 1506
BibRef

Wang, S.[Shu], Wigneron, J.P.[Jean-Pierre], Jiang, L.M.[Ling-Mei], Parrens, M.[Marie], Yu, X.Y.[Xiao-Yong], Al-Yaari, A.[Amen], Ye, Q.Y.[Qin-Yu], Fernandez-Moran, R.[Roberto], Ji, W.[Wei], Kerr, Y.[Yann],
Global-Scale Evaluation of Roughness Effects on C-Band AMSR-E Observations,
RS(7), No. 5, 2015, pp. 5734-5757.
DOI Link 1506
BibRef

Waldner, F.[François], Fritz, S.[Steffen], di Gregorio, A.[Antonio], Defourny, P.[Pierre],
Mapping Priorities to Focus Cropland Mapping Activities: Fitness Assessment of Existing Global, Regional and National Cropland Maps,
RS(7), No. 6, 2015, pp. 7959.
DOI Link 1507
BibRef

Rodriguez-Galiano, V.F.[Victor F.], Dash, J.[Jadunandan], Atkinson, P.M.[Peter M.],
Characterising the Land Surface Phenology of Europe Using Decadal MERIS Data,
RS(7), No. 7, 2015, pp. 9390.
DOI Link 1506
BibRef

Komp, K.U.[Klaus-Ulrich],
High Resolution Land Cover/Land Use Mapping of Large Areas: Current Status and Upcoming Trends,
PFG(2015), No. 5, 2015, pp. 395-410.
DOI Link 1512
BibRef

Tsendbazar, N.E.[Nandin-Erdene], de Bruin, S.[Sytze], Fritz, S.[Steffen], Herold, M.[Martin],
Spatial Accuracy Assessment and Integration of Global Land Cover Datasets,
RS(7), No. 12, 2015, pp. 15804.
DOI Link 1601
BibRef

Herold, M.[Martin], See, L.[Linda], Tsendbazar, N.E.[Nandin-Erdene], Fritz, S.[Steffen],
Towards an Integrated Global Land Cover Monitoring and Mapping System,
RS(8), No. 12, 2016, pp. 1036.
DOI Link 1612
BibRef

Zhang, L., Wang, M., Hong, R., Yin, B., Li, X.,
Large-Scale Aerial Image Categorization Using a Multitask Topological Codebook,
Cyber(46), No. 2, February 2016, pp. 535-545.
IEEE DOI 1601
Feature extraction. Categorization based on topology. BibRef

Tum, M.[Markus], Günther, K.P.[Kurt P.], Böttcher, M.[Martin], Baret, F.[Frédéric], Bittner, M.[Michael], Brockmann, C.[Carsten], Weiss, M.[Marie],
Global Gap-Free MERIS LAI Time Series (2002-2012),
RS(8), No. 1, 2016, pp. 69.
DOI Link 1602
BibRef

Zhang, H.K., Roy, D.P., Kovalskyy, V.,
Optimal Solar Geometry Definition for Global Long-Term Landsat Time-Series Bidirectional Reflectance Normalization,
GeoRS(54), No. 3, March 2016, pp. 1410-1418.
IEEE DOI 1603
BibRef
And: Correction: GeoRS(56), No. 6, June 2018, pp. 3624-3624.
IEEE DOI 1806
Artificial satellites, Data acquisition, Geometry, Remote sensing, Time series analysis. BibRef

Feng, L., Hu, C.,
Comparison of Valid Ocean Observations Between MODIS Terra and Aqua Over the Global Oceans,
GeoRS(54), No. 3, March 2016, pp. 1575-1585.
IEEE DOI 1603
Clouds BibRef

Zhang, C.Y.[Chun-Yan], Cai, D.[Danlu], Li, W.[Wang], Guo, S.[Shan], Guan, Y.N.[Yan-Ning], Bian, X.L.[Xiao-Lin], Yao, W.[Wutao],
Effect of the Long-Term Mean and the Temporal Stability of Water-Energy Dynamics on China's Terrestrial Species Richness,
IJGI(6), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Zhang, X.T.[Xiao-Tong], Liang, S.L.[Shun-Lin], Wang, G.X.[Guo-Xin], Yao, Y.J.[Yun-Jun], Jiang, B.[Bo], Cheng, J.[Jie],
Evaluation of the Reanalysis Surface Incident Shortwave Radiation Products from NCEP, ECMWF, GSFC, and JMA Using Satellite and Surface Observations,
RS(8), No. 3, 2016, pp. 225.
DOI Link 1604
BibRef

Castilla, G.[Guillermo], Rodrigue, S.[Sebastien], Skakun, R.S.[Rob S.], Hall, R.J.[Ron J.],
Four National Maps of Broad Forest Type Provide Inconsistent Answers to the Question of What Burns in Canada,
RS(8), No. 7, 2016, pp. 539.
DOI Link 1608
BibRef

Verma, M.[Manish], Fisher, J.B.[Joshua B.], Mallick, K.[Kaniska], Ryu, Y.[Youngryel], Kobayashi, H.[Hideki], Guillaume, A.[Alexandre], Moore, G.[Gregory], Ramakrishnan, L.[Lavanya], Hendrix, V.[Valerie], Wolf, S.[Sebastian], Sikka, M.[Munish], Kiely, G.[Gerard], Wohlfahrt, G.[Georg], Gielen, B.[Bert], Roupsard, O.[Olivier], Toscano, P.[Piero], Arain, A.[Altaf], Cescatti, A.[Alessandro],
Global Surface Net-Radiation at 5 km from MODIS Terra,
RS(8), No. 9, 2016, pp. 739.
DOI Link 1610
BibRef

Bey, A.[Adia], Díaz, A.S.P.[Alfonso Sánchez-Paus], Maniatis, D.[Danae], Marchi, G.[Giulio], Mollicone, D.[Danilo], Ricci, S.[Stefano], Bastin, J.F.[Jean-François], Moore, R.[Rebecca], Federici, S.[Sandro], Rezende, M.[Marcelo], Patriarca, C.[Chiara], Turia, R.[Ruth], Gamoga, G.[Gewa], Abe, H.[Hitofumi], Kaidong, E.[Elizabeth], Miceli, G.[Gino],
Collect Earth: Land Use and Land Cover Assessment through Augmented Visual Interpretation,
RS(8), No. 10, 2016, pp. 807.
DOI Link 1609
BibRef

Inglada, J.[Jordi], Vincent, A.[Arthur], Arias, M.[Marcela], Tardy, B.[Benjamin], Morin, D.[David], Rodes, I.[Isabel],
Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Tardy, B.[Benjamin], Inglada, J.[Jordi], Michel, J.[Julien],
Fusion Approaches for Land Cover Map Production Using High Resolution Image Time Series without Reference Data of the Corresponding Period,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Tardy, B.[Benjamin], Inglada, J.[Jordi], Michel, J.[Julien],
Assessment of Optimal Transport for Operational Land-Cover Mapping Using High-Resolution Satellite Images Time Series without Reference Data of the Mapping Period,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Petitjean, F.[Francois], Inglada, J.[Jordi], Gancarskv, P.[Pierre],
Clustering of satellite image time series under Time Warping,
MultiTemp11(69-72).
IEEE DOI 1109
Land use change maps, but weather interrupts the time sequence. BibRef

Inglada, J.[Jordi], Hagolle, O.[Olivier], Dedieu, G.[Gerard],
Low and high spatial resolution time series fusion for improved land cover map production,
MultiTemp11(77-80).
IEEE DOI 1109
BibRef

Xiong, J.[Jun], Thenkabail, P.S.[Prasad S.], Gumma, M.K.[Murali K.], Teluguntla, P.[Pardhasaradhi], Poehnelt, J.[Justin], Congalton, R.G.[Russell G.], Yadav, K.[Kamini], Thau, D.[David],
Automated cropland mapping of continental Africa using Google Earth Engine cloud computing,
PandRS(126), No. 1, 2017, pp. 225-244.
Elsevier DOI 1704
Cropland mapping BibRef

Teluguntla, P.[Pardhasaradhi], Thenkabail, P.S.[Prasad S.], Oliphant, A.[Adam], Xiong, J.[Jun], Gumma, M.K.[Murali Krishna], Congalton, R.G.[Russell G.], Yadav, K.[Kamini], Huete, A.[Alfredo],
A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform,
PandRS(144), 2018, pp. 325-340.
Elsevier DOI 1809
Cropland mapping, Landsat, Machine learning algorithm, Random forest, Google Earth Engine, Australia, China BibRef

Zhang, M.[Miao], Ma, M.G.[Ming-Guo], de Maeyer, P.[Philippe], Kurban, A.[Alishir],
Uncertainties in Classification System Conversion and an Analysis of Inconsistencies in Global Land Cover Products,
IJGI(6), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Yang, H.[Hui], Li, S.[Songnian], Chen, J.[Jun], Zhang, X.L.[Xiao-Lu], Xu, S.[Shishuo],
The Standardization and Harmonization of Land Cover Classification Systems towards Harmonized Datasets: A Review,
IJGI(6), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Li, J.[Jing], Fan, K.[Ke], Zhou, L.M.[Li-Ming],
Satellite Observations of El Niño Impacts on Eurasian Spring Vegetation Greenness during the Period 1982-2015,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

See, L.[Linda], Bayas, J.C.L.[Juan Carlos Laso], Schepaschenko, D.[Dmitry], Perger, C.[Christoph], Dresel, C.[Christopher], Maus, V.[Victor], Salk, C.[Carl], Weichselbaum, J.[Juergen], Lesiv, M.[Myroslava], McCallum, I.[Ian], Moorthy, I.[Inian], Fritz, S.[Steffen],
LACO-Wiki: A New Online Land Cover Validation Tool Demonstrated Using GlobeLand30 for Kenya,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Pérez-Hoyos, A.[Ana], Rembold, F.[Felix], Kerdiles, H.[Hervé], Gallego, J.[Javier],
Comparison of Global Land Cover Datasets for Cropland Monitoring,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Latifovic, R.[Rasim], Pouliot, D.[Darren], Olthof, I.[Ian],
Circa 2010 Land Cover of Canada: Local Optimization Methodology and Product Development,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Yadav, K.[Kamini], Congalton, R.G.[Russell G.],
Issues with Large Area Thematic Accuracy Assessment for Mapping Cropland Extent: A Tale of Three Continents,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Yadav, K.[Kamini], Congalton, R.G.[Russell G.],
Accuracy Assessment of Global Food Security-Support Analysis Data (GFSAD) Cropland Extent Maps Produced at Three Different Spatial Resolutions,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef
And: Correction: RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Yu, T.[Tao], Sun, R.[Rui], Xiao, Z.Q.[Zhi-Qiang], Zhang, Q.A.[Qi-Ang], Liu, G.[Gang], Cui, T.X.[Tian-Xiang], Wang, J.M.[Juan-Min],
Estimation of Global Vegetation Productivity from Global LAnd Surface Satellite Data,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Yu, T.[Tao], Sun, R.[Rui], Xiao, Z.Q.[Zhi-Qiang], Zhang, Q.A.[Qi-Ang], Wang, J.M.[Juan-Min], Liu, G.[Gang],
Generation of High Resolution Vegetation Productivity from a Downscaling Method,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Poortinga, A.[Ate], Clinton, N.[Nicholas], Saah, D.[David], Cutter, P.[Peter], Chishtie, F.[Farrukh], Markert, K.N.[Kel N.], Anderson, E.R.[Eric R.], Troy, A.[Austin], Fenn, M.[Mark], Tran, L.H.[Lan Huong], Bean, B.[Brian], Nguyen, Q.[Quyen], Bhandari, B.[Biplov], Johnson, G.[Gary], Towashiraporn, P.[Peeranan],
An Operational Before-After-Control-Impact (BACI) Designed Platform for Vegetation Monitoring at Planetary Scale,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Yu, W.T.[Wen-Tao], Li, J.[Jing], Liu, Q.H.[Qin-Huo], Zeng, Y.[Yelu], Zhao, J.[Jing], Xu, B.D.[Bao-Dong], Yin, G.F.[Gao-Fei],
Global Land Cover Heterogeneity Characteristics at Moderate Resolution for Mixed Pixel Modeling and Inversion,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Yao, X.C.[Xiao-Chuang], Mokbel, M.F.[Mohamed F.], Ye, S.J.[Si-Jing], Li, G.Q.[Guo-Qing], Alarabi, L.[Louai], Eldawy, A.[Ahmed], Zhao, Z.L.[Zu-Liang], Zhao, L.[Long], Zhu, D.[Dehai],
LandQv2: A MapReduce-Based System for Processing Arable Land Quality Big Data,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Wang, Y.[Yu], Zhang, J.X.[Jing-Xiong], Liu, D.[Di], Yang, W.J.[Wen-Jing], Zhang, W.[Wangle],
Accuracy Assessment of GlobeLand30 2010 Land Cover over China Based on Geographically and Categorically Stratified Validation Sample Data,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Albergel, C.[Clement], Munier, S.[Simon], Bocher, A.[Aymeric], Bonan, B.[Bertrand], Zheng, Y.J.[Yong-Jun], Draper, C.[Clara], Leroux, D.J.[Delphine J.], Calvet, J.C.[Jean-Christophe],
LDAS-Monde Sequential Assimilation of Satellite Derived Observations Applied to the Contiguous US: An ERA-5 Driven Reanalysis of the Land Surface Variables,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Song, W.J.[Wan-Juan], Knyazikhin, Y.[Yuri], Wen, G.Y.[Guo-Yong], Marshak, A.[Alexander], Mõttus, M.[Matti], Yan, K.[Kai], Yang, B.[Bin], Xu, B.D.[Bao-Dong], Park, T.J.[Tae-Jin], Chen, C.[Chi], Zeng, Y.[Yelu], Yan, G.J.[Guang-Jian], Mu, X.H.[Xi-Han], Myneni, R.B.[Ranga B.],
Implications of Whole-Disc DSCOVR EPIC Spectral Observations for Estimating Earth's Spectral Reflectivity Based on Low-Earth-Orbiting and Geostationary Observations,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Yang, L.M.[Li-Min], Jin, S.[Suming], Danielson, P.[Patrick], Homer, C.[Collin], Gass, L.[Leila], Bender, S.M.[Stacie M.], Case, A.[Adam], Costello, C.[Catherine], Dewitz, J.[Jon], Fry, J.[Joyce], Funk, M.[Michelle], Granneman, B.[Brian], Liknes, G.C.[Greg C.], Rigge, M.[Matthew], Xian, G.[George],
A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies,
PandRS(146), 2018, pp. 108-123.
Elsevier DOI 1812
United States National Land Cover Database 2016, Multi-temporal land cover and change, Methodology, Implementation strategies BibRef

Jin, S.[Suming], Homer, C.[Collin], Yang, L.M.[Li-Min], Danielson, P.[Patrick], Dewitz, J.[Jon], Li, C.C.[Cong-Cong], Zhu, Z.[Zhe], Xian, G.[George], Howard, D.[Danny],
Overall Methodology Design for the United States National Land Cover Database 2016 Products,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Homer, C.[Collin], Dewitz, J.[Jon], Jin, S.[Suming], Xian, G.[George], Costello, C.[Catherine], Danielson, P.[Patrick], Gass, L.[Leila], Funk, M.[Michelle], Wickham, J.[James], Stehman, S.[Stephen], Auch, R.[Roger], Riitters, K.[Kurt],
Conterminous United States land cover change patterns 2001-2016 from the 2016 National Land Cover Database,
PandRS(162), 2020, pp. 184-199.
Elsevier DOI 2004
Land cover change, Landsat, NLCD, Remote sensing, United States BibRef

Song, Z.J.[Zeng-Jing], Li, R.H.[Rui-Hai], Qiu, R.Y.[Rui-Yang], Liu, S.Y.[Si-Yao], Tan, C.[Chao], Li, Q.P.[Qiu-Ping], Ge, W.[Wei], Han, X.J.[Xu-Jun], Tang, X.G.[Xu-Guang], Shi, W.Y.[Wei-Yu], Song, L.S.[Li-Sheng], Yu, W.P.[Wen-Ping], Yang, H.[Hong], Ma, M.G.[Ming-Guo],
Global Land Surface Temperature Influenced by Vegetation Cover and PM2.5 from 2001 to 2016,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Manakos, I.[Ioannis], Tomaszewska, M.[Monika], Gkinis, I.[Ioannis], Brovkina, O.[Olga], Filchev, L.[Lachezar], Genc, L.[Levent], Gitas, I.Z.[Ioannis Z.], Halabuk, A.[Andrej], Inalpulat, M.[Melis], Irimescu, A.[Anisoara], Jelev, G.[Georgi], Karantzalos, K.[Konstantinos], Katagis, T.[Thomas], Kupková, L.[Lucie], Lavreniuk, M.[Mykola], Mesaroš, M.[Minucer], Mihailescu, D.[Denis], Nita, M.[Mihai], Rusnak, T.[Tomas], Stych, P.[Premysl], Zemek, F.[Frantisek], Albrechtová, J.[Jana], Campbell, P.[Petya],
Comparison of Global and Continental Land Cover Products for Selected Study Areas in South Central and Eastern European Region,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Levitan, N.[Nathaniel], Gross, B.[Barry],
Utilizing Collocated Crop Growth Model Simulations to Train Agronomic Satellite Retrieval Algorithms,
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Paek, S.W.[Sung Wook], Balasubramanian, S.[Sivagaminathan], Kim, S.[Sangtae], de Weck, O.[Olivier],
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Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine,
PandRS(167), 2020, pp. 104-122.
Elsevier DOI 2008
Agriculture, Land use, Google Earth Engine, Random Forest, Landsat, Europe, Central Asia, Russia BibRef

Hamunyela, E.[Eliakim], Rosca, S.[Sabina], Mirt, A.[Andrei], Engle, E.[Eric], Herold, M.[Martin], Gieseke, F.[Fabian], Verbesselt, J.[Jan],
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Elsevier DOI 2012
Climate change, Ecosystem dynamics, Phenometrics, Remote sensing, Seasonality, Vegetation BibRef

Tang, L., Lei, Q., Liu, W., Chen, X., Zhang, Y., Cai, X., Chen, F.,
Optimization of Multi-Ecosystem Model Ensembles to Simulate Vegetation Growth at the Global Scale,
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IEEE DOI 2101
Ecosystems, Data models, Vegetation mapping, Spatial resolution, Optimization methods, Analytical models, Atmospheric modeling, process-based ecosystem model BibRef

Dabija, A.[Anca], Kluczek, M.[Marcin], Zagajewski, B.[Bogdan], Raczko, E.[Edwin], Kycko, M.[Marlena], Al-Sulttani, A.H.[Ahmed H.], Tardà, A.[Anna], Pineda, L.[Lydia], Corbera, J.[Jordi],
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Cullingworth, C.[Christopher], Muller, J.P.[Jan-Peter],
Contemporaneous Monitoring of the Whole Dynamic Earth System from Space, Part I: System Simulation Study Using GEO and Molniya Orbits,
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DOI Link 2103
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Lark, T.J.[Tyler J.], Schelly, I.H.[Ian H.], Gibbs, H.K.[Holly K.],
Accuracy, Bias, and Improvements in Mapping Crops and Cropland across the United States Using the USDA Cropland Data Layer,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
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Zhang, Y.[Yuan], Feng, X.M.[Xiao-Ming], Fu, B.J.[Bo-Jie], Chen, Y.Z.[Yong-Zhe], Wang, X.F.[Xiao-Feng],
Satellite-Observed Global Terrestrial Vegetation Production in Response to Water Availability,
RS(13), No. 7, 2021, pp. xx-yy.
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Martínez-López, J.[Javier], Bertzky, B.[Bastian], Willcock, S.[Simon], Robuchon, M.[Marine], Almagro, M.[María], Delli, G.[Giacomo], Dubois, G.[Grégoire],
Remote Sensing Methods for the Biophysical Characterization of Protected Areas Globally: Challenges and Opportunities,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
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Ishii, Y.[Yoshie], Iwao, K.[Koki], Kinoshita, T.[Tsuguki],
Global Land Cover Assessment Using Spatial Uniformity Validation Dataset,
RS(13), No. 15, 2021, pp. xx-yy.
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Leaf Surface Reflectance Does Not Affect Biophysical Traits Modelling from VIS-NIR Spectra in Plants with Sparsely Distributed Trichomes,
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Htitiou, A.[Abdelaziz], Boudhar, A.[Abdelghani], Chehbouni, A.[Abdelghani], Benabdelouahab, T.[Tarik],
National-Scale Cropland Mapping Based on Phenological Metrics, Environmental Covariates, and Machine Learning on Google Earth Engine,
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Zhang, Y.[Yi], Liang, S.L.[Shun-Lin], He, T.[Tao], Wang, D.D.[Dong-Dong], Yu, Y.Y.[Yun-Yue], Ma, H.[Han],
Estimation of Land Surface Incident Shortwave Radiation From Geostationary Advanced Himawari Imager and Advanced Baseline Imager Observations Using an Optimization Method,
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IEEE DOI 2112
Land surface, Clouds, Estimation, Sea surface, Optical surface waves, Machine learning algorithms, Table lookup, surface shortwave radiation BibRef

Guo, Y.[Yan], Xia, H.M.[Hao-Ming], Pan, L.[Li], Zhao, X.Y.[Xiao-Yang], Li, R.[Rumeng],
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Reyes-Muñoz, P.[Pablo], Pipia, L.[Luca], Salinero-Delgado, M.[Matías], Belda, S.[Santiago], Berger, K.[Katja], Estévez, J.[José], Morata, M.[Miguel], Rivera-Caicedo, J.P.[Juan Pablo], Verrelst, J.[Jochem],
Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine,
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Broadscale Landscape Mapping Provides Insight into the Commonwealth of Dominica and Surrounding Islands Offshore Environment,
RS(14), No. 8, 2022, pp. xx-yy.
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Li, Y.S.[Yin-Shuai], Chang, C.Y.[Chun-Yan], Wang, Z.R.[Zhuo-Ran], Li, T.[Tao], Li, J.W.[Jian-Wei], Zhao, G.X.[Geng-Xing],
Identification of Cultivated Land Quality Grade Using Fused Multi-Source Data and Multi-Temporal Crop Remote Sensing Information,
RS(14), No. 9, 2022, pp. xx-yy.
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Wang, X.[Xue], Zhang, J.H.[Jia-Hua], Xun, L.[Lan], Wang, J.W.[Jing-Wen], Wu, Z.J.[Zhen-Jiang], Henchiri, M.[Malak], Zhang, S.C.[Shi-Chao], Zhang, S.[Sha], Bai, Y.[Yun], Yang, S.S.[Shan-Shan], Li, S.[Shuaishuai], Yu, X.[Xiang],
Evaluating the Effectiveness of Machine Learning and Deep Learning Models Combined Time-Series Satellite Data for Multiple Crop Types Classification over a Large-Scale Region,
RS(14), No. 10, 2022, pp. xx-yy.
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Asam, S.[Sarah], Gessner, U.[Ursula], González, R.A.[Roger Almengor], Wenzl, M.[Martina], Kriese, J.[Jennifer], Kuenzer, C.[Claudia],
Mapping Crop Types of Germany by Combining Temporal Statistical Metrics of Sentinel-1 and Sentinel-2 Time Series with LPIS Data,
RS(14), No. 13, 2022, pp. xx-yy.
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Mirmazloumi, S.M.[S. Mohammad], Kakooei, M.[Mohammad], Mohseni, F.[Farzane], Ghorbanian, A.[Arsalan], Amani, M.[Meisam], Crosetto, M.[Michele], Monserrat, O.[Oriol],
ELULC-10, a 10 m European Land Use and Land Cover Map Using Sentinel and Landsat Data in Google Earth Engine,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
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Liu, P.Y.[Peng-Yu], Pei, J.[Jie], Guo, H.[Han], Tian, H.F.[Hai-Feng], Fang, H.J.[Hua-Jun], Wang, L.[Li],
Evaluating the Accuracy and Spatial Agreement of Five Global Land Cover Datasets in the Ecologically Vulnerable South China Karst,
RS(14), No. 13, 2022, pp. xx-yy.
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Venter, Z.S.[Zander S.], Barton, D.N.[David N.], Chakraborty, T.[Tirthankar], Simensen, T.[Trond], Singh, G.[Geethen],
Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and ESRI Land Cover,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
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Ding, Y.X.[Ya-Xin], Yang, X.M.[Xiao-Mei], Wang, Z.H.[Zhi-Hua], Fu, D.J.[Dong-Jie], Li, H.[He], Meng, D.[Dan], Zeng, X.W.[Xiao-Wei], Zhang, J.[Junyao],
A Field-Data-Aided Comparison of Three 10 m Land Cover Products in Southeast Asia,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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Small, C.[Christopher], Sousa, D.[Daniel],
Spectral Characteristics of the Dynamic World Land Cover Classification,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Tong, X.Y.[Xin-Yi], Xia, G.S.[Gui-Song], Zhu, X.X.[Xiao Xiang],
Enabling country-scale land cover mapping with meter-resolution satellite imagery,
PandRS(196), 2023, pp. 178-196.
Elsevier DOI 2302
Land cover mapping, High-spatial resolution, Classification, Deep learning, Transfer learning, Domain adaptation, Dataset, Megacity BibRef

Latif, R.M.A.[Rana Muhammad Amir], He, J.L.[Jin-Liao], Umer, M.[Muhammad],
Mapping Cropland Extent in Pakistan Using Machine Learning Algorithms on Google Earth Engine Cloud Computing Framework,
IJGI(12), No. 2, 2023, pp. xx-yy.
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Zhang, J.R.[Jia-Rui], Fu, Z.[Zhiyi], Zhu, Y.[Yilin], Wang, B.[Bin], Sun, K.[Keran], Zhang, F.[Feng],
A High-Performance Automated Large-Area Land Cover Mapping Framework,
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Wang, Y.[Yibo], Zhang, X.[Xia], Huang, C.P.[Chang-Ping], Qi, W.C.[Wen-Chao], Wang, J.[Jinnian], Yang, X.K.[Xian-Kun], Ding, S.T.[Song-Tao], Tao, S.Y.[Shi-Yu],
Spatial-Convolution Spectral-Transformer Interactive Network for Large-Scale Fast Refined Land Cover Classification and Mapping Based on ZY1-02D Satellite Hyperspectral Imagery,
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Wang, Y.Q.[Yi-Qun], Huang, H.[Hui], State, R.[Radu],
Early Crop Mapping Using Dynamic Ecoregion Clustering: A USA-Wide Study,
RS(15), No. 20, 2023, pp. 4962.
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Bratic, G., Vavassori, A., Brovelli, M.A.,
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ISPRS21(B4-2021: 175-182).
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BibRef

Antequera, M.L.[Manuel López], Gargallo, P.[Pau], Hofinger, M.[Markus], Bulò, S.R.[Samuel Rota], Kuang, Y.[Yubin], Kontschieder, P.[Peter],
Mapillary Planet-Scale Depth Dataset,
ECCV20(II:589-604).
Springer DOI 2011
BibRef

Sevillano Marco, E., Herrmann, D., Schwab, K., Schweitzer, K., Almengor, R., Berndt, F., Sommer, C., Probeck, M.,
Improvement of Existing and Development of Future Copernicus Land Monitoring Products - The Ecolass Project,
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DOI Link 1912
Evolution of Copernicus Land Services based on Sentinel data. BibRef

Sun, B.[Bo], Chen, X.[Xi], Zhou, Q.M.[Qi-Ming],
Uncertainty Assessment Of Globeland30 Land Cover Data Set Over Central Asia,
ISPRS16(B8: 1313-1317).
DOI Link 1610
BibRef

Hou, L.[Lili], Zhu, L.[Ling], Peng, S.[Shu], Xie, Z.L.[Zhen-Lei], Chen, X.[Xu],
Improving Globalland30 Artificial Type Extraction Accuracy In Low-density Residents,
ISPRS16(B8: 1305-1308).
DOI Link 1610
BibRef

Soyama, N., Muramatsu, K., Daigo, M., Ochiai, F., Fujiwara, N.,
A Study On Producing Highly Reliabile Reference Data Sets For Global Land Cover Validation,
ISPRS16(B8: 1207-1211).
DOI Link 1610
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Brovelli, M.A., Fahl, F.C., Minghini, M., Molinari, M.E.,
Land User And Land Cover Maps Of Europe: A Webgis Platform,
ISPRS16(B7: 913-917).
DOI Link 1610
BibRef

Scarth, P., Armston, J., Flood, N., Denham, R., Collett, L., Watson, F., Trevithick, B., Muir, J., Goodwin, N., Tindall, D., Phinn, S.,
Operational Application of the Landsat Timeseries to Address Large Area Landcover Understanding,
GeoBigData15(571-575).
DOI Link 1602
BibRef

Marani, R., Renò, V., Stella, E., d'Orazio, T.,
An Improved ANOVA Algorithm for Crop Mark Extraction from Large Aerial Images Using Semantics,
CAIP15(II:591-603).
Springer DOI 1511
BibRef

Fukue, K.[Kiyonari], Shimoda, H.[Haruhisa],
Global Land Cover Classification Using Modis Surface Reflectance Prosucts,
ISPRS16(B7: 219-222).
DOI Link 1610
BibRef
Earlier: A2, A1:
Global Land Cover Classification Using Modis Surface Reflectance Products,
ISPRS12(XXXIX-B8:525-528).
DOI Link 1209
BibRef

Wang, L.[Lei], Chen, J.[Jun], Zhang, H.W.[Hong-Wei], Chen, L.J.[Li-Jun],
Difference Analysis of SRTM C-Band DEM and ASTER GDEM for Global Land Cover Mapping,
ISIDF11(1-4).
IEEE DOI 1111
BibRef

Duveiller, G.[Gregory], Baret, F.[Frederic], Defourny, P.[Pierre],
Monitoring crop growth inter-annual variability from MODIS time series: Performance comparison between crop specific green area index and current global leaf area index products,
MultiTemp11(21-24).
IEEE DOI 1109
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Chlorophyll Estimation, Chlorophyll Concentration, Chlorophyll Fluorescence, Chlorophyll Index .


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