A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing
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...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Elsevier
2009
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/40581 |
| _version_ | 1855531533365936128 |
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| author | Biradar, Chandrashekhar M. Thenkabail, Prasad S. Noojipady, P. Li, Yuan Jie Dheeravath, Venkateswarlu Turral, Hugh Velpuri, Naga Manohar Gumma, Murali K. Gangalakunta, O.R.P. Cai, X.L. Xiao, X. Schull, M.A. Alankara, Ranjith Gunasinghe, Sarath Mohideen, Sadir |
| author_browse | Alankara, Ranjith Biradar, Chandrashekhar M. Cai, X.L. Dheeravath, Venkateswarlu Gangalakunta, O.R.P. Gumma, Murali K. Gunasinghe, Sarath Li, Yuan Jie Mohideen, Sadir Noojipady, P. Schull, M.A. Thenkabail, Prasad S. Turral, Hugh Velpuri, Naga Manohar Xiao, X. |
| author_facet | Biradar, Chandrashekhar M. Thenkabail, Prasad S. Noojipady, P. Li, Yuan Jie Dheeravath, Venkateswarlu Turral, Hugh Velpuri, Naga Manohar Gumma, Murali K. Gangalakunta, O.R.P. Cai, X.L. Xiao, X. Schull, M.A. Alankara, Ranjith Gunasinghe, Sarath Mohideen, Sadir |
| author_sort | Biradar, Chandrashekhar M. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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%. |
| format | Journal Article |
| id | CGSpace40581 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2009 |
| publishDateRange | 2009 |
| publishDateSort | 2009 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace405812025-03-11T09:50:20Z A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing Biradar, Chandrashekhar M. Thenkabail, Prasad S. Noojipady, P. Li, Yuan Jie Dheeravath, Venkateswarlu Turral, Hugh Velpuri, Naga Manohar Gumma, Murali K. Gangalakunta, O.R.P. Cai, X.L. Xiao, X. Schull, M.A. Alankara, Ranjith Gunasinghe, Sarath Mohideen, Sadir mapping remote sensing rainfed farming irrigated land farmland 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%. 2009-04 2014-06-13T14:47:58Z 2014-06-13T14:47:58Z Journal Article https://hdl.handle.net/10568/40581 en Limited Access Elsevier 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: 10.1016/j.jag.2008.11.002 |
| spellingShingle | mapping remote sensing rainfed farming irrigated land farmland Biradar, Chandrashekhar M. Thenkabail, Prasad S. Noojipady, P. Li, Yuan Jie Dheeravath, Venkateswarlu Turral, Hugh Velpuri, Naga Manohar Gumma, Murali K. Gangalakunta, O.R.P. Cai, X.L. Xiao, X. Schull, M.A. Alankara, Ranjith Gunasinghe, Sarath Mohideen, Sadir A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing |
| title | A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing |
| title_full | A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing |
| title_fullStr | A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing |
| title_full_unstemmed | A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing |
| title_short | A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing |
| title_sort | global map of rainfed cropland areas gmrca at the end of last millennium using remote sensing |
| topic | mapping remote sensing rainfed farming irrigated land farmland |
| url | https://hdl.handle.net/10568/40581 |
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