Name
Title | ||
|---|---|---|
A Study On Thermal Inertia Approach For Agricultural Drought Monitoring In Shaanxi Province, China By Using Noaa/Avhrr Data |
Abstract | ||
|---|---|---|
Thermal inertia method is one of the main approaches for drought monitoring by using remotely sensed data. The method is widely used in the China North Plain which is relatively flat. In our study, we tried to apply the approach to the agricultural areas of Shaanxi Province in the Northwest China with terrain and climate varies. The results showed that apparent thermal inertia can be used to monitor the drought occurrence. Considering the effects of terrains, vegetation coverage and soil types, the more homogeneous the land surface is, the better correlation between the apparent thermal inertia and surface soil moisture is. |
Year | DOI | Venue |
|---|---|---|
2004 | null | IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET |
Keywords | Field | DocType |
thermal inertia, soil moisture, terrain, vegetation coverage | Vegetation,Computer science,Terrain,Remote sensing,China,Thermal inertia,Agriculture,Radiometry,Water content,Soil classification | Conference |
Volume | Issue | ISSN |
6 | null | 2153-6996 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xingmin Li | 1 | 18 | 4.01 |
| Anlin Liu | 2 | 0 | 0.34 |
| Shuyu Zhang | 3 | 0 | 0.68 |
| Zhao Wang | 4 | 0 | 0.34 |
| Wei Sun | 5 | 531 | 75.97 |
| Peng Xin Wang | 6 | 14 | 6.53 |