Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna River basin (India)
The objective of this study was to investigate the changes in cropland areas as a result of water availability using Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m time-series data and spectral matching techniques (SMTs). The study was conducted in the Krishna River basin in India, a ve...
| Main Authors: | , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Informa UK Limited
2011
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/40426 |
| _version_ | 1855540189406953472 |
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| author | Gumma, Murali K. Thenkabail, Prasad S. Muralikrishna.I.V. Velpuri, Naga Manohar Gangadhara Rao, Parthasaradhi Dheeravath, Venkateswarlu Biradar, Chandrashekhar M. Acharya, Sreedhar Gaur, Anju |
| author_browse | Acharya, Sreedhar Biradar, Chandrashekhar M. Dheeravath, Venkateswarlu Gangadhara Rao, Parthasaradhi Gaur, Anju Gumma, Murali K. Muralikrishna.I.V. Thenkabail, Prasad S. Velpuri, Naga Manohar |
| author_facet | Gumma, Murali K. Thenkabail, Prasad S. Muralikrishna.I.V. Velpuri, Naga Manohar Gangadhara Rao, Parthasaradhi Dheeravath, Venkateswarlu Biradar, Chandrashekhar M. Acharya, Sreedhar Gaur, Anju |
| author_sort | Gumma, Murali K. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The objective of this study was to investigate the changes in cropland areas as a result of water availability using Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m time-series data and spectral matching techniques (SMTs). The study was conducted in the Krishna River basin in India, a very large river basin with an area of 265 752 km2 (26 575 200 ha), comparing a water-surplus year (2000-2001) and a water-deficit year (2002-2003). The MODIS 250 m time-series data and SMTs were found ideal for agricultural cropland change detection over large areas and provided fuzzy classification accuracies of 61-100% for various land-use classes and 61-81% for the rain-fed and irrigated classes. The most mixing change occurred between rain-fed cropland areas and informally irrigated (e.g. groundwater and small reservoir) areas. Hence separation of these two classes was the most difficult. The MODIS 250 m-derived irrigated cropland areas for the districts were highly correlated with the Indian Bureau of Statistics data, with R2-values between 0.82 and 0.86. The change in the net area irrigated was modest, with an irrigated area of 8 669 881 ha during the water-surplus year, as compared with 7 718 900 ha during the water-deficit year. However, this is quite misleading as most of the major changes occurred in cropping intensity, such as changing from higher intensity to lower intensity (e.g. from double crop to single crop). The changes in cropping intensity of the agricultural cropland areas that took place in the water-deficit year (2002-2003) when compared with the water-surplus year (2000-2001) in the Krishna basin were: (a) 1 078 564 ha changed from double crop to single crop, (b) 1 461 177 ha changed from continuous crop to single crop, (c) 704 172 ha changed from irrigated single crop to fallow and (d) 1 314 522 ha changed from minor irrigation (e.g. tanks, small reservoirs) to rain-fed. These are highly significant changes that will have strong impact on food security. Such changes may be expected all over the world in a changing climate. |
| format | Journal Article |
| id | CGSpace40426 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2011 |
| publishDateRange | 2011 |
| publishDateSort | 2011 |
| publisher | Informa UK Limited |
| publisherStr | Informa UK Limited |
| record_format | dspace |
| spelling | CGSpace404262025-06-17T08:24:18Z Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna River basin (India) Gumma, Murali K. Thenkabail, Prasad S. Muralikrishna.I.V. Velpuri, Naga Manohar Gangadhara Rao, Parthasaradhi Dheeravath, Venkateswarlu Biradar, Chandrashekhar M. Acharya, Sreedhar Gaur, Anju agricultural land farmland water availability water use water deficit food security models river basins rain rainfed farming irrigated land land use land cover climate change satellite imagery mapping time series analysis spectral analysis The objective of this study was to investigate the changes in cropland areas as a result of water availability using Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m time-series data and spectral matching techniques (SMTs). The study was conducted in the Krishna River basin in India, a very large river basin with an area of 265 752 km2 (26 575 200 ha), comparing a water-surplus year (2000-2001) and a water-deficit year (2002-2003). The MODIS 250 m time-series data and SMTs were found ideal for agricultural cropland change detection over large areas and provided fuzzy classification accuracies of 61-100% for various land-use classes and 61-81% for the rain-fed and irrigated classes. The most mixing change occurred between rain-fed cropland areas and informally irrigated (e.g. groundwater and small reservoir) areas. Hence separation of these two classes was the most difficult. The MODIS 250 m-derived irrigated cropland areas for the districts were highly correlated with the Indian Bureau of Statistics data, with R2-values between 0.82 and 0.86. The change in the net area irrigated was modest, with an irrigated area of 8 669 881 ha during the water-surplus year, as compared with 7 718 900 ha during the water-deficit year. However, this is quite misleading as most of the major changes occurred in cropping intensity, such as changing from higher intensity to lower intensity (e.g. from double crop to single crop). The changes in cropping intensity of the agricultural cropland areas that took place in the water-deficit year (2002-2003) when compared with the water-surplus year (2000-2001) in the Krishna basin were: (a) 1 078 564 ha changed from double crop to single crop, (b) 1 461 177 ha changed from continuous crop to single crop, (c) 704 172 ha changed from irrigated single crop to fallow and (d) 1 314 522 ha changed from minor irrigation (e.g. tanks, small reservoirs) to rain-fed. These are highly significant changes that will have strong impact on food security. Such changes may be expected all over the world in a changing climate. 2011-06-20 2014-06-13T14:47:38Z 2014-06-13T14:47:38Z Journal Article https://hdl.handle.net/10568/40426 en Limited Access Informa UK Limited Gumma, M. K.; Thenkabail, P. S.; Muralikrishna. I. V.; Velpuri, M. N.; Gangadhara Rao, Parthasaradhi; Dheeravath, V.; Biradar, C. M.; Acharya, N. Sreedhar; Gaur, A. 2011. Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna River basin (India). International Journal of Remote Sensing, 32(12):3495-3520. doi: https://doi.org/10.1080/01431161003749485 |
| spellingShingle | agricultural land farmland water availability water use water deficit food security models river basins rain rainfed farming irrigated land land use land cover climate change satellite imagery mapping time series analysis spectral analysis Gumma, Murali K. Thenkabail, Prasad S. Muralikrishna.I.V. Velpuri, Naga Manohar Gangadhara Rao, Parthasaradhi Dheeravath, Venkateswarlu Biradar, Chandrashekhar M. Acharya, Sreedhar Gaur, Anju Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna River basin (India) |
| title | Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna River basin (India) |
| title_full | Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna River basin (India) |
| title_fullStr | Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna River basin (India) |
| title_full_unstemmed | Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna River basin (India) |
| title_short | Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna River basin (India) |
| title_sort | changes in agricultural cropland areas between a water surplus year and a water deficit year impacting food security determined using modis 250 m time series data and spectral matching techniques in the krishna river basin india |
| topic | agricultural land farmland water availability water use water deficit food security models river basins rain rainfed farming irrigated land land use land cover climate change satellite imagery mapping time series analysis spectral analysis |
| url | https://hdl.handle.net/10568/40426 |
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