RUSSIAN JOURNAL OF EARTH SCIENCES, VOL. 19, ES2003, doi:10.2205/2018ES000647, 2019
No. | Coordinate | Land surface | Soil moisture | NDDI value | Drought level | |
$X$ | $Y$ | temperature (K) | W (%) | |||
1 | 869931 | 1237474 | 314.3 | 3.1 | 0.398 | Severe drought |
2 | 877403 | 1237824 | 313.9 | 3.6 | 0.318 | Severe drought |
3 | 876936 | 1229069 | 310.2 | 4.6 | 0.302 | Severe drought |
4 | 876469 | 1224166 | 308.6 | 5.8 | 0.189 | Moderate drought |
5 | 890010 | 1243894 | 315.8 | 3.4 | 0.435 | Severe drought |
6 | 890504 | 1243387 | 311.4 | 4.3 | 0.323 | Severe drought |
7 | 868531 | 1247280 | 305.0 | 3.5 | 0.392 | Severe drought |
8 | 861526 | 1236423 | 313.2 | 6.6 | 0.247 | Moderate drought |
9 | 851837 | 1240859 | 315.9 | 4.2 | 0.345 | Severe drought |
10 | 866226 | 1224538 | 312.0 | 3.4 | 0.540 | Severe drought |
Citation: Trinh Le Hung, Danh Tuyen Vu (2019), Application of remote sensing technique for drought assessment based on normalized difference drought index, a case study of Bac Binh district, Binh Thuan province (Vietnam), Russ. J. Earth Sci., 19, ES2003, doi:10.2205/2018ES000647.
Copyright 2019 by the Geophysical Center RAS.