MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets

Remote Sensing of Environment - Tập 114 Số 1 - Trang 168-182 - 2010
M. A. Friedl1, Damien Sulla‐Menashe1, Bin Tan2, Annemarie Schneider3, Navin Ramankutty4, Adam Sibley1, Xiaoman Huang1
1Department of Geography and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA
2Earth Resources Technology, Inc., NASA Goddard Space Flight Center, Code 614.5, Greenbelt, MD 20771, USA
3Center for Sustainability and the Global Environment, University of Wisconsin-Madison, 1710 University Avenue, Room 264, Madison, Wisconsin 53726 USA
4Department of Geography and Program in Earth System Science, 627 Burnside Hall, 805 Sherbrooke Street W., Montreal, QC, Canada H3A 2K6

Tóm tắt

Từ khóa


Tài liệu tham khảo

Ahlqvist, 2008, In search of classification that supports the dynamics of science: the FAO Land Cover Classification System and proposed modifications, Environment and Planning. B — Planning and Design, 35, 169, 10.1068/b3344

Arino, 2008, GLOBCOVER — The most detailed portrait of Earth, ESA Bulletin-European Space Agency, 24

Bartholome, 2005, GLC2000: A new approach to global land cover mapping from Earth observation data, International Journal of Remote Sensing, 26, 1959, 10.1080/01431160412331291297

Bonan, 2002, Landscapes as patches of plant functional types: An integrating concept for climate and ecosystem models, Global Biogeochemical Cycles, 16, 10.1029/2000GB001360

Bonan, 2002, The land surface climatology of the community land model coupled to the NCAR community climate model, Journal of Climate, 15, 3123, 10.1175/1520-0442(2002)015<3123:TLSCOT>2.0.CO;2

Cochran, W. G. (1977). Sampling Techniques, 3rd Edition. Wiley, New York, 428 pp.

DeFries, 1995, Global discrimination of land cover types from metrics derived from AVHRR pathfinder data, Remote Sensing of Environment, 54, 209, 10.1016/0034-4257(95)00142-5

Defries, 1994, NDVI-derived land-cover classifications at a global-scale, International Journal of Remote Sensing, 15, 3567, 10.1080/01431169408954345

Ek, 2003, Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model, Journal of Geophysical Research-Atmospheres, 108, 10.1029/2002JD003296

Ellis, 2008, Putting people in the map: Anthropogenic biomes of the world, Frontiers in Ecology and the Environment, 6, 439, 10.1890/070062

Foley, 2005, Global consequences of land use, Science, 309, 570, 10.1126/science.1111772

Foody, 2002, Status of land cover classification accuracy assessment, Remote Sensing of Environment, 80, 185, 10.1016/S0034-4257(01)00295-4

Freund, 1996, A decision-theoretic generalization of on-line learning and an application to boosting, 23

Friedl, 1999, Maximizing land cover classification accuracies produced by decision trees at continental to global scales, IEEE Transactions on Geoscience and Remote Sensing, 37, 969, 10.1109/36.752215

Friedl, 2002, Global land cover mapping from MODIS: Algorithms and early results, Remote Sensing of Environment, 83, 287, 10.1016/S0034-4257(02)00078-0

Friedl, 2000, Characterization of North American land cover from NOAA-AVHRR data using the EOS MODIS land cover classification algorithm, Geophysical Research Letters, 27, 977, 10.1029/1999GL011010

Friedl, 2000, A note on procedures used for accuracy assessment in land cover maps derived from AVHRR data, International Journal of Remote Sensing, 21, 1073, 10.1080/014311600210434

Friedman, 2000, Additive logistic regression: A statistical view of boosting, Annals of Statistics, 28, 337, 10.1214/aos/1016218223

Ganguly, S., Friedl, M.A., Tan, B., Zhang, X., & Verma, M. (in press). Vegetation Phenology from MODIS: Characterization of the Collection 5 Global Land Cover Dynamics Product, submitted, Remote Sensing of Environment.

Goldewijk, 2001, Estimating global land use change over the past 300years: The HYDE Database, Global Biogeochemical Cycles, 15, 417, 10.1029/1999GB001232

Hansen, 2000, Global land cover classification at 1km spatial resolution using a classification tree approach, International Journal of Remote Sensing, 21, 1331, 10.1080/014311600210209

Hansen, 2002, Towards an operational MODIS continuous field of percent tree cover algorithm: Examples using AVHRR and MODIS data, Remote Sensing of Environment, 83, 303, 10.1016/S0034-4257(02)00079-2

Huete, 2002, Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sensing of Environment, 83, 195, 10.1016/S0034-4257(02)00096-2

Jansen, 2002, Parametric land cover and land-use classifications as tools for environmental change detection, Agriculture Ecosystems & Environment, 91, 89, 10.1016/S0167-8809(01)00243-2

Lloyd, 1990, A phenological classification of terrestrial vegetation cover using shortwave vegetation index imagery, International Journal of Remote Sensing, 11, 2269, 10.1080/01431169008955174

Lotsch, 2003, Land cover mapping in support of LAI and FPAR retrievals from EOS-MODIS and MISR: Classification methods and sensitivities to errors, International Journal of Remote Sensing, 24, 1997, 10.1080/01431160210154858

Loveland, 1997, The IGBP-DIS global 1km land cover data set, DISCover: First results, International Journal of Remote Sensing, 18, 3291, 10.1080/014311697217099

Loveland, 1995, Seasonal land-cover regions of the United States, Annals of the Association of American Geographers, 85, 339, 10.1111/j.1467-8306.1995.tb01798.x

Loveland, 2000, Development of a global land cover characteristics database and IGBP DISCover from 1km AVHRR data, International Journal of Remote Sensing, 21, 1303, 10.1080/014311600210191

Lubchenco, 1998, Entering the century of the environment: A new social contract for science, Science, 279, 491, 10.1126/science.279.5350.491

Matthews, 1983, Global vegetation and land-use — new high-resolution data-bases for climate studies, Journal of Climate and Applied Meteorology, 22, 474, 10.1175/1520-0450(1983)022<0474:GVALUN>2.0.CO;2

McIver, 2001, Estimating pixel-scale land cover classification confidence using nonparametric machine learning methods, IEEE Transactions on Geoscience and Remote Sensing, 39, 1959, 10.1109/36.951086

McIver, 2002, Using prior probabilities in decision-tree classification of remotely sensed data, Remote Sensing of Environment, 81, 253, 10.1016/S0034-4257(02)00003-2

Myneni, 2002, Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data, Remote Sensing of Environment, 83, 214, 10.1016/S0034-4257(02)00074-3

Olson, 1982, Earth's vegetation and atmospheric carbon dioxide, 388

Quinlan, 1993

Quinlan, 1996, Bagging, boosting, and C4.5, 725

Ramankutty, 2008, Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000, Global Biogeochemical Cycles, 22, 10.1029/2007GB002952

Ramankutty, 1999, Estimating historical changes in global land cover: Croplands from 1700 to 1992, Global Biogeochemical Cycles, 13, 997, 10.1029/1999GB900046

Running, 1988, A general-model of forest ecosystem processes for regional applications. 1. hydrologic balance, canopy gas-exchange and primary production processes, Ecological Modelling, 42, 125, 10.1016/0304-3800(88)90112-3

Running, 1995, A remote-sensing based vegetation classification logic for global land-cover analysis, Remote Sensing of Environment, 51, 39, 10.1016/0034-4257(94)00063-S

Sanderson, 2002, The human footprint and the last of the wild, Bioscience, 52, 891, 10.1641/0006-3568(2002)052[0891:THFATL]2.0.CO;2

Schaaf, 2002, First operational BRDF, albedo nadir reflectance products from MODIS, Remote Sensing of Environment, 83, 135, 10.1016/S0034-4257(02)00091-3

Schapire, 1998, Boosting the margin: A new explanation for the effectiveness of voting methods, Annals of Statistics, 26, 1651, 10.1214/aos/1024691352

Schneider, 2003, Mapping urban areas by fusing multiple sources of coarse resolution remotely sensed data, Photogrammetric Engineering and Remote Sensing, 69, 1377, 10.14358/PERS.69.12.1377

Schneider, A., Friedl, M. A., & Potere, D. (in press). A new map of urban extent from MODIS satellite data. Environmental Research Letters.

Sellers, 1997, Modeling the exchanges of energy, water, and carbon between continents and the atmosphere, Science, 275, 502, 10.1126/science.275.5299.502

Stehman, 1997, Estimating standard errors of accuracy assessment under cluster sampling, Remote Sensing of Environment, 60, 258, 10.1016/S0034-4257(96)00176-9

Sterling, 2008, Comprehensive data set of global land cover change for land surface model applications, Global Biogeochemical Cycles, 22, 10.1029/2007GB002959

Stone, 1994, A map of the vegetation of south-america based on satellite imagery, Photogrammetric Engineering and Remote Sensing, 60, 541

Strahler, 2006

Townshend, 1998, Global data sets for land applications from the advanced very high resolution radiometer: An introduction, International Journal of Remote Sensing, 15, 3319, 10.1080/01431169408954333

Townshend, 1987, Characterization and classification of South American land cover types using satellite data, 1189

Vitousek, 1997, Human domination of Earth's ecosystems, Science, 277, 494, 10.1126/science.277.5325.494

Wan, 2002, Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data, Remote Sensing of Environment, 83, 163, 10.1016/S0034-4257(02)00093-7

Wilson, 1985, A global archive of land cover and soils data for use in general circulation climate models, Journal of Climatology, 5, 119, 10.1002/joc.3370050202

Zhang, 2006, Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements, Journal of Geophysical Research-Biogeosciences, 111, G04017, 10.1029/2006JG000217