Reddi, V R M and Gumma, M K and Pyla, K V and Eadara, A and Gummapu, J S (2017) Monitoring Changes in Croplands Due to Water Stress in the Krishna River Basin Using Temporal Satellite Imagery. Land (TSI), 6(4) (72). pp. 1-18. ISSN 2073-445X
|
PDF (It is an Open Access article)
- Published Version
Download (13MB) | Preview |
Abstract
Remote sensing-based assessments of large river basins such as the Krishna, which supplies water to many states in India, are useful for operationally monitoring agriculture, especially basins that are affected by abiotic stress. Moderate-Resolution Imaging Spectroradiometer (MODIS) time series products can be used to understand cropland changes at the basin level due to abiotic stresses, especially water scarcity. Spectral matching techniques were used to identify land use/land cover (LULC) areas for two crop years: 2013–2014, which was a normal year, and 2015–2016, which was a water stress year. Water stress-affected crop areas were categorized into three classes—severe, moderate and mild—based on the normalized difference vegetation index (NDVI) and intensity of damage assessed through field sampling. Furthermore, ground survey data were used to assess the accuracy of MODIS-derived classification individual products. Water inflows into and outflows from the Krishna river basin during the study period were used as direct indicators of water scarcity/availability in the Krishna Basin. Furthermore, ground survey data were used to assess the accuracy of MODIS-derived LULC classification of individual year products. Rainfall data from the tropical rainfall monitoring mission (TRMM) was used to support the water stress analysis. The nine LULC classes derived using the MODIS temporal imagery provided overall accuracies of 82% for the cropping year 2013–2014 and 85% for the year 2015–2016. Kappa values are 0.78 for 2013–2014 and 0.82 for 2015–2016. MODIS-derived cropland areas were compared with national statistics for the cropping year 2013–2014 with a R2 value of 0.87. Results show that both rainfed and irrigated areas in 2015–2016 saw significant changes that will have significant impacts on food security. It has been also observed that the farmers in the basin tend to use lower inputs and labour per ha during drought years. Among all, access to water is the major driver determining the crop choice and extent of input-use in the basin.
| Item Type: | Article |
|---|---|
| Divisions: | Research Program : Innovation Systems for the Drylands (ISD) |
| CRP: | CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) CGIAR Research Program on Grain Legumes CGIAR Research Program on Water, Land and Ecosystems (WLE) |
| Uncontrolled Keywords: | Water stress; Remote sensing; Ground survey data; Spatial and statistics data; NDVI; Spatial information; Krishna River Basin; Mapping Land; Croplands, Moderate-Resolution Imaging Spectroradiometer; Abiotic stress; Food security; Crop choice |
| Subjects: | Others > GIS Techniques/Remote Sensing Others > Water Resources |
| Depositing User: | Mr Ramesh K |
| Date Deposited: | 24 Oct 2017 06:50 |
| Last Modified: | 18 May 2018 10:03 |
| URI: | http://oar.icrisat.org/id/eprint/10224 |
| Official URL: | http://dx.doi.org/10.3390/land6040072 |
| Projects: | UNSPECIFIED |
| Funders: | UNSPECIFIED |
| Acknowledgement: | This research was supported by the CGIAR Research Programs on Dryland Cereals and on Grain legumes, WLE, CCAFS, and the Remote Sensing Department, Andhra University, Visakhapatnam, Andhra Pradesh, India. The authors thank Adam Oliphant, Scientist, USGS; Smitha Sitaraman, Science Editor; Irshad, GIS-Manager, ICRISAT, KumaraCharyulu, Senior scientist for editing this article. The authors are grateful to Ismail, Naresh and NARS partners for supporting the collection of ground data and sub-national statistics. |
| Links: |
Actions (login required)
 |
View Item |
Altmetric
Altmetric