| Application of remote sensing monitoring of drought in Shaanxi Provence using FY-3D/MERSI-II data |
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| DOI：10.7606/j.issn.1000-7601.2021.01.21 |
| Key Words: FY-3D/MERSI-II perpendicular drought index (PDI) agricultural drought remote sensing monitoring |
| Author Name | Affiliation | | QUAN Wenting | Shaanxi Meteorological Service Center of Agricultural Remote Sensing and Economic Crop, Xi’an, Shaanxi 710000, China
Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China | | WANG Xudong | Shaanxi Meteorological Service Center of Agricultural Remote Sensing and Economic Crop, Xi’an, Shaanxi 710000, China | | LI Hongmei | Shaanxi Meteorological Service Center of Agricultural Remote Sensing and Economic Crop, Xi’an, Shaanxi 710000, China |
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| Abstract: |
| Taking the monitoring of summer drought in Shaanxi Province as an example, using FY-3D/MERSI-II data\|the latest polar\|orbiting meteorological satellite of Feng Yun series, we constructed the NIR-Red feature space using red and near\|infrared channels of 250 m spatial resolution, built perpendicular drought index (PDI), and Modified Perpendicular Drought Index (MPDI), and correlation analysis was conducted on PDI, MPDI, and Compound Index (CI). The results showed that (1) FY-3D/MERSI-II data had good applicability of remote\|sensing monitoring of drought in Shaanxi Province. Both PDI and MPDI had significant negative correlation with CI with the correlation coefficients of -0.135 and -0.110, respectively, but PDI had a better result in summer drought dynamic monitoring in Shaanxi Province. (2) Drought region focused in northern Yulin and drought area of Weibei; the most serious drought process was in late May, which had a serious affection on winter wheat yield. Dynamic monitoring provided theoretical basis for taking effective measures to ease up the serious drought condition and increased crop yield by rapid acquisition of the result. (3) FY-3D/MERSI-II data had higher temporal and spatial resolution compared with meteorological satellite and Landsat data abroad, which held great potential for dynamic monitoring of agricultural drought, which is becoming a focus area of research. |
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