Gumma, M K and Panjala, P and Dubey, S K and Ray, D K and Murthy, C S and Kadiyala, D M and Mohammed, I and Takashi, Y (2024) Spatial Distribution of Cropping Systems in South Asia Using Time-Series Satellite Data Enriched with Ground Data. Remote Sensing(TSI), 16 (15). pp. 1-18. ISSN 2072-4292
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A cropping system practice is the sequential cultivation of crops in different crop seasons of a year. Cropping system practices determine the land productivity and sustainability of agriculture in regions and, therefore, information on cropping systems of different regions in the form of maps and statistics form critical inputs in crop planning for optimal use of resources. Although satellite-based crop mapping is widely practiced, deriving cropping systems maps using satellites is less reported. Here, we developed moderate-resolution maps of the major cropping systems of South Asia for the year 2014–2015 using multi-temporal satellite data together with a spectral matching technique (SMT) developed with an extensive set of field observation data supplemented with expert-identified crops in high-resolution satellite images. We identified and mapped 27 major cropping systems of South Asia at 250 m spatial resolution. The rice-wheat cropping system is the dominant system, followed by millet-wheat and soybean-wheat. The map showing the cropping system practices of regions opens up many use cases related to the agriculture performance of the regions. Comparison of such maps of different time periods offers insights on sensitive regions and analysis of such maps in conjunction with resources maps such as climate, soil, etc., enables optimization of resources vis-à-vis enhancing land productivity. Thus, the current study offers new opportunities to revisit the cropping system practices and redesign the same to meet the challenges of food security and climate resilient agriculture.
| Item Type: | Article |
|---|---|
| Divisions: | Global Research Program - Resilient Farm and Food Systems |
| CRP: | UNSPECIFIED |
| Uncontrolled Keywords: | cropping systems, South Asia, crop type mapping, time-series analysis, crop phenology detection |
| Subjects: | Others > GIS Techniques/Remote Sensing Others > South Asia Others > Cropping and Farming Systems |
| Depositing User: | Mr Nagaraju T |
| Date Deposited: | 08 Aug 2024 03:34 |
| Last Modified: | 08 Aug 2024 03:34 |
| URI: | http://oar.icrisat.org/id/eprint/12777 |
| Official URL: | https://www.mdpi.com/2072-4292/16/15/2733 |
| Projects: | Japan Fund for Prosperous and Resilient Asia and the Pacific |
| Funders: | Government of Japan through the Asian Development Bank (ADB), Mahalano-bis National Crop Forecasting Centre (MNCFC), Institute on the Environment and WRI Land & Carbon Lab |
| Acknowledgement: | Our thanks go to Prasad S. Thenkabail, Anthony Whitbread, ML Jat and Partha Saradhi Teluguntla for their valuable comments and support. |
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