Using satellite-based soil moisture to detect and monitor spatiotemporal traces of agricultural drought over Bundelkhand region of India
Detection and monitoring of seasonal agricultural drought at sub-regional scale is a complex theme due to inefficient spatiotemporal indicators. This study presents a new time-based function of spaceborne soil moisture as an efficient indicator. Bundelkhand of Central India, a frequently agricultura...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2017-03-01
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| Series: | GIScience & Remote Sensing |
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| Online Access: | http://dx.doi.org/10.1080/15481603.2017.1286725 |
| _version_ | 1797679080849539072 |
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| author | Suman Kumar Padhee Bhaskar Ramachandra Nikam Subashisa Dutta Shiv Prasad Aggarwal |
| author_facet | Suman Kumar Padhee Bhaskar Ramachandra Nikam Subashisa Dutta Shiv Prasad Aggarwal |
| author_sort | Suman Kumar Padhee |
| collection | DOAJ |
| description | Detection and monitoring of seasonal agricultural drought at sub-regional scale is a complex theme due to inefficient spatiotemporal indicators. This study presents a new time-based function of spaceborne soil moisture as an efficient indicator. Bundelkhand of Central India, a frequently agricultural drought affected region, was used as the study area. Rabi agricultural season (October–May) being the dominant agricultural return period, was chosen as the study period. Coarse resolution soil moisture (SMc) obtained from European space agency under climate change initiative program was spatially downscaled (SMd) to meet spatial scale at sub-regional level with overall root-mean-square error under 0.065 cm3/cm3. Indirect validation of SMd was done using temporal impact of rainfall/dry spell on SMd and spatiotemporal impact of SMd on vegetation condition. SMd was found to agree with phenomenon as expected in natural processes and hence it was assumed to be validated. The time-based function derived from spatiotemporal SMd (FSMs) was found to be better related with fluctuations in seasonal crop yield (Ys) at district level as compared to a similar function (FVCIs) derived using vegetation condition index (VCI) from Moderate Resolution Imaging Spectroradiometer. FSMs outperformed FVCIs having better correlation coefficient (R ≥0.8) and Nash–Sutcliffe efficiency coefficient (NSE) than FVCIs for most of the districts. Unlike FVCIs, it also efficiently detected the lowest and highest Ys for majority of the districts representing better association with agricultural drought. Subsequently, frequent soil moisture deficit areas were mapped by using FSMs to visualize the spatiotemporal severity of agricultural drought in the region during Rabi season. |
| first_indexed | 2024-03-11T23:09:15Z |
| format | Article |
| id | doaj.art-38be391662124129ab83e6d859882f93 |
| institution | Directory Open Access Journal |
| issn | 1548-1603 1943-7226 |
| language | English |
| last_indexed | 2024-03-11T23:09:15Z |
| publishDate | 2017-03-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | GIScience & Remote Sensing |
| spelling | doaj.art-38be391662124129ab83e6d859882f932023-09-21T12:34:13ZengTaylor & Francis GroupGIScience & Remote Sensing1548-16031943-72262017-03-0154214416610.1080/15481603.2017.12867251286725Using satellite-based soil moisture to detect and monitor spatiotemporal traces of agricultural drought over Bundelkhand region of IndiaSuman Kumar Padhee0Bhaskar Ramachandra Nikam1Subashisa Dutta2Shiv Prasad Aggarwal3Indian Institute of Technology GuwahatiIndian Institute of Remote SensingIndian Institute of Technology GuwahatiIndian Institute of Remote SensingDetection and monitoring of seasonal agricultural drought at sub-regional scale is a complex theme due to inefficient spatiotemporal indicators. This study presents a new time-based function of spaceborne soil moisture as an efficient indicator. Bundelkhand of Central India, a frequently agricultural drought affected region, was used as the study area. Rabi agricultural season (October–May) being the dominant agricultural return period, was chosen as the study period. Coarse resolution soil moisture (SMc) obtained from European space agency under climate change initiative program was spatially downscaled (SMd) to meet spatial scale at sub-regional level with overall root-mean-square error under 0.065 cm3/cm3. Indirect validation of SMd was done using temporal impact of rainfall/dry spell on SMd and spatiotemporal impact of SMd on vegetation condition. SMd was found to agree with phenomenon as expected in natural processes and hence it was assumed to be validated. The time-based function derived from spatiotemporal SMd (FSMs) was found to be better related with fluctuations in seasonal crop yield (Ys) at district level as compared to a similar function (FVCIs) derived using vegetation condition index (VCI) from Moderate Resolution Imaging Spectroradiometer. FSMs outperformed FVCIs having better correlation coefficient (R ≥0.8) and Nash–Sutcliffe efficiency coefficient (NSE) than FVCIs for most of the districts. Unlike FVCIs, it also efficiently detected the lowest and highest Ys for majority of the districts representing better association with agricultural drought. Subsequently, frequent soil moisture deficit areas were mapped by using FSMs to visualize the spatiotemporal severity of agricultural drought in the region during Rabi season.http://dx.doi.org/10.1080/15481603.2017.1286725satellite soil moistureagricultural droughtspatial downscalingeffective drought index (edi)vegetation condition index (vci) |
| spellingShingle | Suman Kumar Padhee Bhaskar Ramachandra Nikam Subashisa Dutta Shiv Prasad Aggarwal Using satellite-based soil moisture to detect and monitor spatiotemporal traces of agricultural drought over Bundelkhand region of India GIScience & Remote Sensing satellite soil moisture agricultural drought spatial downscaling effective drought index (edi) vegetation condition index (vci) |
| title | Using satellite-based soil moisture to detect and monitor spatiotemporal traces of agricultural drought over Bundelkhand region of India |
| title_full | Using satellite-based soil moisture to detect and monitor spatiotemporal traces of agricultural drought over Bundelkhand region of India |
| title_fullStr | Using satellite-based soil moisture to detect and monitor spatiotemporal traces of agricultural drought over Bundelkhand region of India |
| title_full_unstemmed | Using satellite-based soil moisture to detect and monitor spatiotemporal traces of agricultural drought over Bundelkhand region of India |
| title_short | Using satellite-based soil moisture to detect and monitor spatiotemporal traces of agricultural drought over Bundelkhand region of India |
| title_sort | using satellite based soil moisture to detect and monitor spatiotemporal traces of agricultural drought over bundelkhand region of india |
| topic | satellite soil moisture agricultural drought spatial downscaling effective drought index (edi) vegetation condition index (vci) |
| url | http://dx.doi.org/10.1080/15481603.2017.1286725 |
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