Irrigated area mapping in heterogeneous landscapes with MODIS time series, ground truth and census data, Krishna Basin, India

References

• Achard , F. and Estreguil , C. 1995 . Forest classification of Southeast Asia using NOAA AVHRR data. . Remote Sensing of Environment , 54 : 198 – 208 .
   Web of Science ®Google Scholar
• Cardille , J. A. and Foley , J. A. 2003 . Agricultural land‐use change in Brazilian Amazonia between 1980 and 1995: evidence from integrated satellite and census data. . Remote Sensing of Environment , 87 : 551 – 562 .
   Web of Science ®Google Scholar
• Cihlar , J. , Xiao , Q. , Beaubien , J. , Fung , K. and Latifovic , R. 1998 . Classification by progressive generalization: a new automated methodology for remote sensing multichannel data. . International Journal of Remote Sensing , 19 : 2685 – 2704 .
   Web of Science ®Google Scholar
• Cihlar , J. 2000 . Land cover mapping of large areas from satellites: status and research priorities. . International Journal of Remote Sensing , 21 : 1093 – 1114 .
   Web of Science ®Google Scholar
• DeFries , R. S. , Hansen , M. , Townshend , J. R. G. and Sohlberg , R. 1998 . Global land cover classifications at 8 km spatial resolution: the use of training data derived from Landsat imagery in decision tree classifiers. . International Journal of Remote Sensing , 19 : 3141 – 3168 .
   Web of Science ®Google Scholar
• DeFries , R. S. , Hansen , M. and Townshend , J. 2000 . Global continuous fields of vegetation characteristics: a linear mixture model applied to multiyear 8 km AVHRR data. . International Journal of Remote Sensing , 21 : 1389 – 1414 .
   Web of Science ®Google Scholar
• DeFries , R. S. and Townshend , J. R. G. 1994 . NDVI‐derived land cover classifications at a global scale. . International Journal of Remote Sensing , 15 : 3567 – 3586 .
   Web of Science ®Google Scholar
• Droogers , P. 2002 . Global Irrigated Area Mapping: Overview and Recommendations. Working Paper 36 , Colombo, , Sri Lanka : International Water Management Institute .
   Google Scholar
• FAO/UNEP . 1999 . Terminology for Integrated Resources Planning and Management , Rome, Italy and Nairobi, Kenya : Food and Agriculture Organization/United Nations Environmental Programme .
   Google Scholar
• Fischer , A. 1994 . A model for the seasonal variations of vegetation indices in coarse resolution data and its inversion to extract crop parameters. . Remote Sensing of Environment , 48 : 220 – 230 .
   Web of Science ®Google Scholar
• Friedl , M. A. , Woodcock , C. , Gopal , S. , Muchoney , D. , Strahler , A. H. and Barker‐Schaaf , C. 2000 . “ A note on procedures used for accuracy assessment in land cover maps derived from AVHRR data. ” . In International Journal of Remote Sensing Vol. 21 , doi 10.1080/014311600210434
   Google Scholar
• Frolking , S. , Qiu , J. B. S. , Xiao , X. , Liu , J. , Zhuang , Y. , Li , C. and Qin , X. 2002 . “ Combining remote sensing and ground census data to develop new maps of the distribution of rice agriculture in China. ” . In Global Biogeochemical Cycles Vol. 16 , doi 10.1029/2001GB001425
   Google Scholar
• Gopal , S. and Woodcock , C. 1994 . Theory and methods for accuracy assessment of thematic maps using fuzzy sets. . Photogrammetric Engineering and Remote Sensing , 60 : 181 – 188 .
   Web of Science ®Google Scholar
• Government of India . 2001 . Report on Census of Minor Irrigation Schemes—1993–94 , Delhi : Ministry of Water Resources, Minor Irrigation Division .
   Google Scholar
• Guilmoto , C. Z. 2002 . Irrigation and the great Indian rural database: vignettes from South India. . Economic and Political Weekly , 37 : 1223 – 1228 .
   Google Scholar
• Hill , M. J. and Donald , G. E. 2003 . Estimating spatio‐temporal patterns of agricultural productivity in fragmented landscapes using AVHRR NDVI time series. . Remote Sensing of Environment , 84 : 367 – 384 .
   Web of Science ®Google Scholar
• Holben , B. N. 1986 . Characteristics of maximum‐value composite images from temporal AVHRR data. . International Journal of Remote Sensing , 7 : 1417 – 1434 .
   Web of Science ®Google Scholar
• Holben , B. N. and Shimabukuro , Y. E. 1993 . Linear mixing model applied to coarse spatial resolution data from multispectral satellite sensors. . International Journal of Remote Sensing , 14 : 2231 – 2240 .
   Web of Science ®Google Scholar
• Huete , A. , Didan , K. , Miura , T. and Rodriguez , E. 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
• Kang , S. , Running , S. W. , Lim , J. H. , Zhao , M. , Park , C. R. and Loehman , R. 2003 . A regional phenology model for detecting onset of greenness in temperate mixed forests, Korea: an application of MODIS leaf area index. . Remote Sensing of Environment , 86 : 232 – 242 .
   Web of Science ®Google Scholar
• King , M. D. , Closs , J. , Spangler , S. and Greenstone , R. 2003 . EOS Data Products Handbook Version 1 , Greenbelt, MD : NASA Goddard Space Flight Center .
   Google Scholar
• Latifovic , R. and Olthof , I. 2004 . “ Accuracy assessment using sub‐pixel fractional error matrices of global land cover products derived from satellite data. ” . In Remote Sensing of Environment Vol. 90 , 153 – 165 . doi:110.1016/j.rse.2003.1011.1016
   Google Scholar
• Lloyd , D. 1990 . A phenological classification of vegetation cover using shortwave vegetation index imagery. . International Journal of Remote Sensing , 11 : 2269 – 2279 .
   Web of Science ®Google Scholar
• Moody , A. and Johnson , D. M. 2001 . Land‐surface phenologies from AVHRR using the discrete Fourier transform. . Remote Sensing of Environment , 75 : 305 – 323 .
   Web of Science ®Google Scholar
• Quarmby , N. A. , Townshend , J. R. G. , Settle , J. J. , White , K. H. , Milnes , M. , Hindle , T. L. and Silleos , N. 1992 . Linear mixture modeling applied to AVHRR data for crop area estimation. . International Journal of Remote Sensing , 13 : 415 – 425 .
   Web of Science ®Google Scholar
• Ramankutty , N. and Foley , J. A. 1998 . Characterizing patterns of global land use: an analysis of global croplands data. . Global Biogeochemical Cycles , 12 : 667 – 685 .
   Web of Science ®Google Scholar
• Reed , B. C. , Brown , J. F. , VanderZee , D. , Loveland , T. R. , Merchant , J. W. and Ohlen , D. O. 1994 . Measuring phenological variability from satellite imagery. . Journal of Vegetation Science , 5 : 703 – 714 .
   Web of Science ®Google Scholar
• Roberts , D. A. , Numata , I. , Holmes , K. , Batista , G. , Krug , T. , Monteiro , A. , Powell , B. and Chadwick , O. A. 2002 . Large area mapping of land‐cover change in Rondônia using multitemporal spectral mixture analysis and decision tree classifiers. . Journal of Geophysical Research , 107 : 8073, JD000374
   Web of Science ®Google Scholar
• Rosenberg , D. M. 2000 . Global‐scale environmental effects of hydrological alterations. . BioScience , 50 : 746 – 751 .
   Web of Science ®Google Scholar
• Sellers , P. J. and Schimel , D. 1993 . Remote sensing of the land biosphere and biogeochemistry in the EOS era: science priorities, methods and implementation. . Global and Planetary Change , 7 : 279 – 297 .
   Web of Science ®Google Scholar
• Shah , T. , Molden , D. , Sakthivadivel , R. and Seckler , D. 2000 . The Global Groundwater Situation: Overview of Opportunities and Challenges , Colombo, , Sri Lanka : International Water Management Institute .
   Google Scholar
• Shiklomanov , I. A. 2000 . Appraisal and assessment of world water resources. . Water International , 25 : 11 – 32 .
   Web of Science ®Google Scholar
• Shimabukuro , Y. E. and Smith , J. A. 1991 . The least‐squares mixing models to generate fraction images derived from remote sensing multispectral data. . IEEE Transactions on Geoscience and Remote Sensing , 29 : 16 – 20 .
   Web of Science ®Google Scholar
• Thenkabail , P. , 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. , Grant , D. M. and Dykstra , J. D. 2004 . NASA's global orthorectified Landsat data set. . Photogrametric Engineering and Remote Sensing , 70 : 313 – 322 .
   Web of Science ®Google Scholar
• Walker , P. A. and Mallawaarachichi , T. 1998 . Disaggregating agricultural statistics using NOAA‐AVHRR NDVI. . Remote Sensing of Environment , 63 : 112 – 125 .
   Web of Science ®Google Scholar
• Wardlow , B. D. and Egbert , S. L. 2002 . “ Discriminating cropping patterns for the U.S. central Great Plains region using time‐series MODIS 250m NDVI data—preliminary results. ” . In Integrated Remote Sensing at the Global, Regional and Local Scale 10–15 November 2002, Denver, CO
   Google Scholar
• Zhang , X. , Friedl , M. A. , Schaaf , C. B. , Strahler , A. H. , Hodges , J. C. F. , Gao , F. , Reed , B. C. and Huete , A. 2003 . Monitoring vegetation phenology using MODIS. . Remote Sensing of Environment , 84 : 471 – 475 .
   Web of Science ®Google Scholar