Quantifying the area and spatial distribution of double- and triple-cropping croplands in India with multi-temporal MODIS imagery in 2005

References

• Agrawal , S. , Joshi , P.K. , Shukla , Y. and Roy , P.S. 2003 . SPOT VEGETATION multi temporal data for classifying vegetation in south central Asia . Current Science , 84 : 1440 – 1448 .
   Web of Science ®Google Scholar
• Bartholome , E. and Belward , A.S. 2005 . GLC2000: a new approach to global land cover mapping from Earth observation data . International Journal of Remote Sensing , 26 : 1959 – 1977 .
   Web of Science ®Google Scholar
• Begue , A. 1993 . Leaf Area Index, intercepted photosynthetically active radiation, and spectral vegetation indexes – a sensitivity analysis for regular-clumped canopies . Remote Sensing of Environment , 46 : 45 – 59 .
   Web of Science ®Google Scholar
• Biggs , T.W. , Thenkabail , P.S. , Gumma , M.K. , Scott , C.A. , Parthasaradhi , G.R. and Turral , H.N. 2006 . Irrigated area mapping in heterogeneous landscapes with MODIS time series, ground truth and census data, Krishna Basin, India . International Journal of Remote Sensing , 27 : 4245 – 4266 .
   Web of Science ®Google Scholar
• Dash , J. , Mathur , A. , Foody , G.M. , Curran , P.J. , Chipman , J.W. and Lillesand , T.M. 2007 . Land cover classification using multi-temporal MERIS vegetation indices . International Journal of Remote Sensing , 28 : 1137 – 1159 .
   Web of Science ®Google Scholar
• Delbart , N. , Le Toan , T. , Kergoat , L. and Fedotova , V. 2006 . Remote sensing of spring phenology in boreal regions: a free of snow-effect method using NOAA-AVHRR and SPOT-VGT data (1982–2004) . Remote Sensing of Environment , 101 : 52 – 62 .
   Web of Science ®Google Scholar
• DES . Directorate of Economics and Statistics, 2007, Districtwise landuse statistics for India from 2004–2005. Ministry of Agriculture, Government of India . 1 – 36 .
   Google Scholar
• Doll , P. and Siebert , S. 2002 . Global modeling of irrigation water requirements . Water Resources Research , 38 : 1037 doi: 10.1029/2001wr000355.
   Web of Science ®Google Scholar
• Friedl , M.A. , McIver , D.K. , Hodges , J.C.F. , Zhang , X.Y. , Muchoney , D. , Strahler , A.H. , Woodcock , C.E. , Gopal , S. , Schneider , A. , Cooper , A. , Baccini , A. , Gao , F. and Schaaf , C. 2002 . Global land cover mapping from MODIS: algorithms and early results . Remote Sensing of Environment , 83 : 287 – 302 .
   Web of Science ®Google Scholar
• Frolking , S. , Xiao , X.M. , Zhuang , Y.H. , Salas , W. and Li , C.S. 1999 . Agricultural land-use in China: a comparison of area estimates from ground-based census and satellite-borne remote sensing . Global Ecology and Biogeography , 8 : 407 – 416 .
   Web of Science ®Google Scholar
• Frolking , S. , Yeluripati , J.B. and Douglas , E. 2006 . New district-level maps of rice cropping in India: a foundation for scientific input into policy assessment . Field Crop Research , 98 : 164 – 177 .
   Web of Science ®Google Scholar
• Galford , G.L. , Mustard , J.F. , Melillo , J. , Gendrin , A. , Cerri , C.C. and Cerri , C.E.P. 2008 . Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil . Remote Sensing of Environment , 112 : 576 – 587 .
   Web of Science ®Google Scholar
• Gilbert , M. , Xiao , X.M. , Chaitaweesub , P. , Kalpravidh , W. , Premashthira , S. , Boles , S. and Slingenbergh , J. 2007 . Avian influenza, domestic ducks and rice agriculture in Thailand . Agriculture Ecosystems & Environment , 119 : 409 – 415 .
   PubMed Web of Science ®Google Scholar
• Gilbert , M. , Xiao , X.M. , Pfeiffer , D.U. , Epprecht , M. , Boles , S. , Czarnecki , C. , Chaitaweesub , P. , Kalpravidh , W. , Minh , P.Q. , Otte , M.J. , Martin , V. and Slingenbergh , J. 2008 . Mapping H5N1 highly pathogenic avian influenza risk in Southeast Asia . Proceedings of the National Academy of Sciences of the United States of America , 105 : 4769 – 4774 .
   PubMed Web of Science ®Google Scholar
• Hall , D.K. , Riggs , G.A. , Salomonson , V.V. , DiGirolamo , N.E. and Bayr , K.J. 2002 . MODIS snow-cover products . Remote Sensing of Environment , 83 : 181 – 194 .
   Web of Science ®Google Scholar
• Huete , A. , Didan , K. , Miura , T. , Rodriguez , E.P. , Gao , X. and Ferreira , L.G. 2002 . Overview of the radiometric and biophysical performance of the MODIS vegetation indices . Remote Sensing of Environment , 83 : 195 – 213 .
   Web of Science ®Google Scholar
• Li , C. , Xiao , X. , Frolking , S. , Moore III , B. , Qiu , J. , Zhang , Y. , Zhuang , Y. , Wang , X. , Dai , Z. , Liu , J. , Qin , X. , Liao , B. and Sass , R. 2003 . Greenhouse gas emissions from croplands of China . Quaternary Sciences , 5 : 493 – 503 . [in Chinese with English abstract]
   Google Scholar
• Li , Z.Q. , Yu , G.R. , Xiao , X.M. , Li , Y.N. , Zhao , X.Q. , Ren , C.Y. , Zhang , L.M. and Fu , Y.L. 2007 . Modeling gross primary production of alpine ecosystems in the Tibetan Plateau using MODIS images and climate data . Remote Sensing of Environment , 107 : 510 – 519 .
   Web of Science ®Google Scholar
• Lobell , D.B. and Asner , G.P. 2004 . Cropland distributions from temporal unmixing of MODIS data . Remote Sensing of Environment , 93 : 412 – 422 .
   Web of Science ®Google Scholar
• Loveland , T.R. , Reed , B.C. , Brown , J.F. , Ohlen , D.O. , Zhu , Z. , Yang , L. and Merchant , J.W. 2000 . Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data . International Journal of Remote Sensing , 21 : 1303 – 1330 .
   Web of Science ®Google Scholar
• Mahadevan , P. , Wofsy , S.C. , Matross , D.M. , Xiao , X.M. , Dunn , A.L. , Lin , J.C. , Gerbig , C. , Munger , J.W. , Chow , V.Y. and Gottlieb , E.W. 2008 . A satellite-based biosphere parameterization for net ecosystem CO2 exchange: Vegetation Photosynthesis and Respiration Model (VPRM) . Global Biogeochemical Cycles , 22 : G01002 doi: 10.1029/2006gb002735.
   Web of Science ®Google Scholar
• Mohanthy , S. , Nikos , A. and Jelle , B. 1998 . The long-term food outlook in India , Ames, , Iowa : Center for Agricultural and Rural Development, Iowa State University . Technical report 98–TR38
   Google Scholar
• Muchoney , D.M. and Strahler , A.H. 2002 . Pixel- and site-based calibration and validation methods for evaluating supervised classification of remotely sensed data . Remote Sensing of Environment , 81 : 290 – 299 .
   Web of Science ®Google Scholar
• Qiu , J. , Tang , H. , Frolking , S. , Boles , S. , Li , C. , Xiao , X. , Liu , J. , Zhuang , Y. and Qin , X. 2003 . Mapping single-, double-, and triple-crop agriculture in China at 0.5°×0.5° by combining county-scale census data with a remote sensing-derived land cover map . Geocarto International , 18 : 3 – 13 .
   Google Scholar
• Sakamoto , T. , Yokozawa , M. , Toritani , H. , Shibayama , M. , Ishitsuka , N. and Ohno , H. 2005 . A crop phenology detection method using time-series MODIS data . Remote Sensing of Environment , 96 : 366 – 374 .
   Web of Science ®Google Scholar
• Sakamoto , T. , Van Nguyen , N. , Ohno , H. , Ishitsuka , N. and Yokozawa , M. 2006 . Spatio-temporal distribution of rice phenology and cropping systems in the Mekong Delta with special reference to the seasonal water flow of the Mekong and Bassac rivers . Remote Sensing of Environment , 100 : 1 – 16 .
   Web of Science ®Google Scholar
• Sakamoto , T. , Van Nguyen , N. , Kotera , A. , Ohno , H. , Ishitsuka , N. and Yokozawa , M. 2007 . Detecting temporal changes in the extent of annual flooding within the Cambodia and the Vietnamese Mekong Delta from MODIS time-series imagery . Remote Sensing of Environment , 109 : 295 – 313 .
   Web of Science ®Google Scholar
• Siebert , S. , Doll , P. , Hoogeveen , J. , Faures , J.M. , Frenken , K. and Feick , S. 2005 . Development and validation of the global map of irrigation areas . Hydrology and Earth System Sciences , 9 : 535 – 547 .
   Web of Science ®Google Scholar
• Thenkabail , P.S. , Schull , M. and Turral , H. 2005 . Ganges and Indus river basin land use/land cover (LULC) and irrigated area mapping using continuous streams of MODIS data . Remote Sensing of Environment , 95 : 317 – 341 .
   Web of Science ®Google Scholar
• Tucker , C.J. 1979 . Red and photographic infrared linear combinations for monitoring vegetation . Remote Sensing of Environment , 8 : 127 – 150 .
   Web of Science ®Google Scholar
• Turner , D.P. , Cohen , W.B. , Kennedy , R.E. , Fassnacht , K.S. and Briggs , J.M. 1999 . Relationships between leaf area index and Landsat TM spectral vegetation indices across three temperate zone sites . Remote Sensing of Environment , 70 : 52 – 68 .
   Web of Science ®Google Scholar
• Vitousek , P.M. , Mooney , H.A. , Lubchenco , J. and Melillo , J.M. 1997 . Human domination of Earth's ecosystems . Science , 277 : 494 – 499 .
   Web of Science ®Google Scholar
• Wardlow , B.D. and Egbert , S.L. 2008 . Large-area crop mapping using time-series MODIS 250 m NDVI data: an assessment for the US Central Great Plains . Remote Sensing of Environment , 112 : 1096 – 1116 .
   Web of Science ®Google Scholar
• Wu , J.B. , Xiao , X.M. , Guan , D.X. , Shi , T.T. , Jin , C.J. and Han , S.J. 2009 . Estimation of the gross primary production of an old-growth temperate mixed forest using eddy covariance and remote sensing . International Journal of Remote Sensing , 30 : 463 – 479 .
   Web of Science ®Google Scholar
• Wu , W. , Wang , S. , Xiao , X. , Yu , G. , Fu , Y. , Li , Z. , Chen , B. , Song , T. and Hao , Y. 2008 . Modeling gross primary production of a temperate grassland ecosystem in Inner Mongolia, China, using MODIS imagery and climate data . Science in China Series D-Earth Sciences , 51 : 1 – 12 .
   Google Scholar
• Xiao , X. , Boles , S. , Frolking , S. , Salas , W. , Moore , B. , Li , C. , He , L. and Zhao , R. 2002 . Observation of flooding and rice transplanting of paddy rice fields at the site to landscape scales in China using VEGETATION sensor data . International Journal of Remote Sensing , 23 : 3009 – 3022 .
   Web of Science ®Google Scholar
• Xiao , X.M. , Liu , J.Y. , Zhuang , D.F. , Frolking , S. , Boles , S. , Xu , B. , Liu , M.L. , Salas , W. , Moore , B. and Li , C.S. 2003 . Uncertainties in estimates of cropland area in China: a comparison between an AVHRR-derived dataset and a Landsat TM-derived dataset . Global and Planetary Change , 37 : 297 – 306 .
   Web of Science ®Google Scholar
• Xiao , X.M. , Boles , S. , Liu , J.Y. , Zhuang , D.F. , Frolking , S. , Li , C.S. , Salas , W. and Moore , B. 2005a . Mapping paddy rice agriculture in southern China using multi-temporal MODIS images . Remote Sensing of Environment , 95 : 480 – 492 .
   Web of Science ®Google Scholar
• Xiao , X.M. , Zhang , Q.Y. , Hollinger , D. , Aber , J. and Moore , B. 2005b . Modeling gross primary production of an evergreen needleleaf forest using MODIS and climate data . Ecological Applications , 15 : 954 – 969 .
   Web of Science ®Google Scholar
• Xiao , X.M. , Zhang , Q.Y. , Saleska , S. , Hutyra , L. , De Camargo , P. , Wofsy , S. , Frolking , S. , Boles , S. , Keller , M. and Moore , B. 2005c . Satellite-based modeling of gross primary production in a seasonally moist tropical evergreen forest . Remote Sensing of Environment , 94 : 105 – 122 .
   Web of Science ®Google Scholar
• Xiao , X.M. , Boles , S. , Frolking , S. , Li , C.S. , Babu , J.Y. , Salas , W. and Moore , B. 2006 . Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images . Remote Sensing of Environment , 100 : 95 – 113 .
   Web of Science ®Google Scholar
• Xu , H.Q. 2006 . Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery . International Journal of Remote Sensing , 27 : 3025 – 3033 .
   Web of Science ®Google Scholar
• Yan , H.M. , Fu , Y. , Xiao , X. , Huang , H. , He , H. and Yu , G. 2009 . Modeling gross primary productivity of winter wheat and maize double-cropping system, using MODIS time series imergy and CO2 eddy flux data . Agriculture Ecosystems & Environment , 129 : 391 – 400 .
   Web of Science ®Google Scholar
• Zarco-Tejada , P.J. , Rueda , C.A. and Ustin , S.L. 2003 . Water content estimation in vegetation with MODIS reflectance data and model inversion methods . Remote Sensing of Environment , 85 : 109 – 124 .
   Web of Science ®Google Scholar
• Zhang , Q.Y. , Xiao , X.M. , Braswell , B. , Linder , E. , Baret , F. and Moore , B. 2005 . Estimating light absorption by chlorophyll, leaf and canopy in a deciduous broadleaf forest using MODIS data and a radiative transfer model . Remote Sensing of Environment , 99 : 357 – 371 .
   Web of Science ®Google Scholar
• Zhang , Q.Y. , Xiao , X.M. , Braswell , B. , Linder , E. , Ollinger , S. , Smith , M.L. , Jenkins , J.P. , Baret , F. , Richardson , A.D. , Moore , B. and Minocha , R. 2006 . Characterization of seasonal variation of forest canopy in a temperate deciduous broadleaf forest, using daily MODIS data . Remote Sensing of Environment , 105 : 189 – 203 .
   Web of Science ®Google Scholar