Monitoring of spatiotemporal dynamics of rabi rice fallows in South asia using remote sensing
Cereals and grain legumes are the most important part of human diet and nutrition. The expansion of grain legumes with improved productivity to cater the growing population’s nutritional security is of prime importance and need of the hour. Rice fallows are best niche areas with residual moisture to...
| Autores principales: | , , , |
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| Formato: | Capítulo de libro |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2018
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/102428 |
| _version_ | 1855517307052228608 |
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| author | Gumma, Murali K. Thenkabail, Prasad S. Teluguntla, P. Whitbread, Anthony M. |
| author_browse | Gumma, Murali K. Teluguntla, P. Thenkabail, Prasad S. Whitbread, Anthony M. |
| author_facet | Gumma, Murali K. Thenkabail, Prasad S. Teluguntla, P. Whitbread, Anthony M. |
| author_sort | Gumma, Murali K. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Cereals and grain legumes are the most important part of human diet and nutrition. The expansion of grain legumes with improved productivity to cater the growing population’s nutritional security is of prime importance and need of the hour. Rice fallows are best niche areas with residual moisture to grow short-duration legumes, thereby achieving intensification. Identifying suitable areas for grain legumes and cereal grains is important in this region. In this context, the goal of this study was to map fallow lands followed by rainy season ( kharif ) rice cultivation or post-rainy ( rabi ) fallows in rice-growing environments between 2005 and 2015 using temporal moderate-resolution imaging spectroradiometer (MODIS) data applying spectral matching techniques. This study was conducted in South Asia where different rice ecosystems exist. MODIS 16 day normalized difference vegetation index (NDVI) at 250 m spatial resolution and season-wise-intensive ground survey data were used to map rice systems and the fallows thereafter ( rabi fallows) in South Asia. The rice maps were validated with independent ground survey data and compared with available subnational-level statistics. Overall accuracy and kappa coefficient estimated for rice classes were 81.5% and 0.79%, respectively, with ground survey data. The derived physical rice area and irrigated areas were highly correlated with the subnational statistics with R ^ 2 values of 94% at the district level for the years 2005–2006 and 2015–2016. Results clearly show that rice fallow areas increased from 2005 to 2015. The results show spatial distribution of rice fallows in South Asia, which are identified as target domains for sustainable intensification of short-duration grain legumes, fixing the soil nitrogen and increasing incomes of small-holder farmers. |
| format | Book Chapter |
| id | CGSpace102428 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1024282025-12-08T10:29:22Z Monitoring of spatiotemporal dynamics of rabi rice fallows in South asia using remote sensing Gumma, Murali K. Thenkabail, Prasad S. Teluguntla, P. Whitbread, Anthony M. spatial distribution farmland rice remote sensing Cereals and grain legumes are the most important part of human diet and nutrition. The expansion of grain legumes with improved productivity to cater the growing population’s nutritional security is of prime importance and need of the hour. Rice fallows are best niche areas with residual moisture to grow short-duration legumes, thereby achieving intensification. Identifying suitable areas for grain legumes and cereal grains is important in this region. In this context, the goal of this study was to map fallow lands followed by rainy season ( kharif ) rice cultivation or post-rainy ( rabi ) fallows in rice-growing environments between 2005 and 2015 using temporal moderate-resolution imaging spectroradiometer (MODIS) data applying spectral matching techniques. This study was conducted in South Asia where different rice ecosystems exist. MODIS 16 day normalized difference vegetation index (NDVI) at 250 m spatial resolution and season-wise-intensive ground survey data were used to map rice systems and the fallows thereafter ( rabi fallows) in South Asia. The rice maps were validated with independent ground survey data and compared with available subnational-level statistics. Overall accuracy and kappa coefficient estimated for rice classes were 81.5% and 0.79%, respectively, with ground survey data. The derived physical rice area and irrigated areas were highly correlated with the subnational statistics with R ^ 2 values of 94% at the district level for the years 2005–2006 and 2015–2016. Results clearly show that rice fallow areas increased from 2005 to 2015. The results show spatial distribution of rice fallows in South Asia, which are identified as target domains for sustainable intensification of short-duration grain legumes, fixing the soil nitrogen and increasing incomes of small-holder farmers. 2018 2019-08-02T16:37:08Z 2019-08-02T16:37:08Z Book Chapter https://hdl.handle.net/10568/102428 en Open Access Springer Gumma, M. K.; Thenkabail, P. S.; Teluguntla, P.; Whitbread, A. M. (2018) Monitoring of spatiotemporal dynamics of rabi rice fallows in South asia using remote sensing. In: Geospatial technologies in land resources mapping, monitoring and management. geotechnologies and the environment . Springer, pp. 425-448. ISBN 978-3-319-78710-7 |
| spellingShingle | spatial distribution farmland rice remote sensing Gumma, Murali K. Thenkabail, Prasad S. Teluguntla, P. Whitbread, Anthony M. Monitoring of spatiotemporal dynamics of rabi rice fallows in South asia using remote sensing |
| title | Monitoring of spatiotemporal dynamics of rabi rice fallows in South asia using remote sensing |
| title_full | Monitoring of spatiotemporal dynamics of rabi rice fallows in South asia using remote sensing |
| title_fullStr | Monitoring of spatiotemporal dynamics of rabi rice fallows in South asia using remote sensing |
| title_full_unstemmed | Monitoring of spatiotemporal dynamics of rabi rice fallows in South asia using remote sensing |
| title_short | Monitoring of spatiotemporal dynamics of rabi rice fallows in South asia using remote sensing |
| title_sort | monitoring of spatiotemporal dynamics of rabi rice fallows in south asia using remote sensing |
| topic | spatial distribution farmland rice remote sensing |
| url | https://hdl.handle.net/10568/102428 |
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