| Retrieving soil moisture based on terrain factors——A case study in Yanhe River Basin |
|
View Fulltext View/Add Comment Download reader |
| |
| DOI：10.7606/j.issn.1000-7601.2010.05.40 |
| Key Words: DEM land surface temperature temperature vegetation dryness index soil moisture |
| Author Name | Affiliation | | LIU Xiaojing | College of Resources and Environment
Northwest A & F University, Yangling, Shannxi 712100, China | | LI Xinping | College of Resources and Environment
Northwest A & F University, Yangling, Shannxi 712100, China | | YANG Qinke | Department of Urban and Resources
Northwest University, Xi'an, Shaanxi 710069, China | | LIU Xianlong | College of Resources and Environment
Northwest A & F University, Yangling, Shannxi 712100, China |
|
| Hits: 204 |
| Download times: 127 |
| Abstract: |
| Landsat Thematic Mapper image and DEM data are used to retrieve Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) of Yanhe River Basin. And air temperature is corrected by terrain factors, such as elevation, slope, aspect and terrain shadings, which reveals temperature diversity with terrain in detail. A spatial model designed with ERDAS software can be used to retrieve Temperature Vegetation Dryness Index (TVDI). And TVDI is a method of monitoring soil moisture based on terrain factors, which is proved to reflect soil moisture status efficiently. |
|
|
|