| Investigation on FY-3C/MERSI data to monitor the spatial-temporal dynamics of drought in Shaanxi Province |
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| DOI：10.7606/j.issn.1000-7601.2016.03.31 |
| Key Words: FY-3C/MERSI data drought monitoring VSWI NDDI MBDI |
| Author Name | Affiliation | | QUAN Wen-ting | Shaanxi Provincial Agricultural Remote Sensing Information Center, Xi’an, Shaanxi 710014, China | | LI Hong-mei | Shaanxi Provincial Agricultural Remote Sensing Information Center, Xi’an, Shaanxi 710014, China | | ZHOU Hui | Shaanxi Provincial Agricultural Remote Sensing Information Center, Xi’an, Shaanxi 710014, China | | HE Hui-juan | Shaanxi Provincial Agricultural Remote Sensing Information Center, Xi’an, Shaanxi 710014, China | | NENG Jia | Petro China Changqing Oilfield Company, Xi’an, Shaanxi 710018, China |
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| Abstract: |
| Base on FY-3C/MERSI 1 km monitoring data, the Vegetation Supply Water Index Model (VSWI), Normalized Difference Drought Index Model (NDDI), and Multiple Band Drought Index Model (MBDI) were used to monitor summer drought in Shaanxi Province in 2014. Also, the 10 cm relative soil moisture observation data were utilized to comparatively analyze the accuracy and stability of these three drought remote sensing monitoring models. The result showed that accuracy of all three remote sensing methods was acknowledged toward drought of Shaanxi in summer 2014. The result of VSWI dynamic monitoring performed better than others. The accuracies of MBDI and VSWI were at the same level during the middle term of drought period, but VSWI was better at early and late stages than MBDI. According to the VSWI monitoring result, when Shaanxi was divided into Shanbei district, Guanzhong district and Shannan district, the result indicated that FY-3C/MERSI data was able to monitor the spatial-temporal dynamics of drought in Shaanxi Province. |
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