Your search found 5 records
1 Thenkabail, Prasad; Biradar, Chandrashekhar; Turral, Hugh; Noojipady, Praveen; Li, Yuanjie; Vithanage, Jagath; Dheeravath, Venkateswarlu; Velpuri, Manohar; Schull, M.; Cai, Xueliang; Dutta, Rishiraj. 2006. An irrigated area map of the world (1999) derived from remote sensing. Colombo, Sri Lanka: International Water Management Institute (IWMI). 65p. (IWMI Research Report 105) [doi: https://doi.org/10.3910/2009.105]
(Location: IWMI-HQ Call no: IWMI 631.7.1 G000 THE Record No: H039270)
(1.57MB)
This document summarizes the materials and methods used to create a series of maps of irrigated areas of the world using remote sensing approaches. These maps are complementary to existing statistics (FAO-Aquastat) and the GISderived maps (FAO/University of Frankfurt Global irrigated area map). The document also provides details of how the estimates of global irrigated areas in one main season (net) and more than one season (intensity or annualized) were derived.
2 Thenkabail, Prasad; Biradar, Chandrashekhar; Noojipady, Praveen; Islam, Aminul; Vithanage, Jagath; Velpuri, Manohar; Dheeravath, Venkateswarlu; Kulawardhana, Wasantha; Jie, Li Yuan; Gunasinghe, Sarath; Alankara, Ranjith. 2006. International Water Management Institute’s Data Storehouse Pathway (IWMIDSP): A unique data and knowledge gateway of spatial data with emphasis on river basins. In Li, D.; Xia, L. (Eds.). Geoinformatics 2006: GNSS and Integrated Geospatial applications. Proceedings of SPIE Vol.6418, Wuhan, China, 28-29 October 2006. Bellingham, Washington, USA: SPIE – The International Society for Optical Engineering. 6418(64181R):1-6.
(Location: IWMI-HQ Call no: IWMI 621.3678 G000 THE Record No: H039738)
3 Biradar, Chandrashekhar; Thenkabail, Prasad; Turral, Hugh; Noojipady, Praveen; Jie, Li Yuan; Velpuri, Manohar; Dheeravath, Venkateswarlu; Vithanage, Jagath; Schull, M.; Cai, X. L.; Gumma, Murali Krishna; Rishiraj, D. 2006. A global map of rainfed cropland areas at the end of last millennium using remote sensing and geospatial techniques. In Li, D.; Xia, L. (Eds.). Geoinformatics 2006: GNSS and Integrated Geospatial applications. Proceedings of SPIE Vol.6418, Wuhan, China, 28-29 October 2006. Bellingham, Washington, USA: SPIE – The International Society for Optical Engineering. 64181Q. 5p.
(Location: IWMI-HQ Call no: IWMI 621.3678 G000 BIR Record No: H039737)
4 Thenkabail, Prasad; Biradar, Chandrashekhar; Noojipady, Praveen; Islam, Aminul; Velpuri, Manohar; Vithanage, Jagath; Kulawardhana, Wasantha; Jie, Li Yuan; Venkateswarlu, Dheeravath; Gunasinghe, Sarath; Alankara, Ranjith. 2006. The spatial data and knowledge gateways at the International Water Management Institute (IWMI) In Li, D.; Xia, L. (Eds.). Geoinformatics 2006: GNSS and Integrated Geospatial applications. Proceedings of SPIE Vol.6421, Wuhan, China, 28-29 October 2006. Bellingham, Washington, USA: SPIE – The International Society for Optical Engineering. 64211Z. 10p.
(Location: IWMI-HQ Call no: IWMI 621.3678 G000 THE Record No: H039739)
5 Biradar, Chandrashekhar M.; Thenkabail, Prasad S.; Noojipady, P.; Li, Yuan Jie; Dheeravath, Venkateswarlu; Turral, Hugh; Velpuri, Manohar; Gumma, Murali Krishna; Gangalakunta, O. R. P.; Cai, X. L.; Xiao, X.; Schull, M. A.; Alankara, Ranjith; Gunasinghe, Sarath; Mohideen, Sadir. 2009. A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing. International Journal of Applied Earth Observation and Geoinformation, 11(2):114-129. [doi: https://doi.org/10.1016/j.jag.2008.11.002]
(Location: IWMI HQ Call no: e-copy only Record No: H042769)
The overarching goal of this study was to produce a global map of rainfed cropland areas (GMRCA) and calculate country-by-country rainfed area statistics using remote sensing data. A suite of spatial datasets, methods and protocols for mapping GMRCA were described. These consist of: (a) data fusion and composition of multi-resolution time-series mega-file data-cube (MFDC), (b) image segmentation based on precipitation, temperature, and elevation zones, (c) spectral correlation similarity (SCS), (d) protocols for class identification and labeling through uses of SCS R2-values, bi-spectral plots, space-time spiral curves (ST-SCs), rich source of field-plot data, and zoom-in-views of Google Earth (GE), and (e) techniques for resolving mixed classes by decision tree algorithms, and spatial modeling. The outcome was a 9-class GMRCA from which country-by-country rainfed area statistics were computed for the end of the last millennium. The global rainfed cropland area estimate from the GMRCA 9-class map was 1.13 billion hectares (Bha). The total global cropland areas (rainfed plus irrigated) was 1.53 Bha which was close to national statistics compiled by FAOSTAT (1.51 Bha). The accuracies and errors of GMRCA were assessed using field-plot and Google Earth data points. The accuracy varied between 92 and 98% with kappa value of about 0.76, errors of omission of 2–8%, and the errors of commission of 19–36%.
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