Abstract
We explore the remotely sensed surface temperature (Ts)/normalized difference vegetation index (NDVI) relationship regarding: 1) influence of biome type on the slope of Ts/NDVI, 2) automating the definition of the relationship so that the surface moisture status can be compared with Ts/NDVI at continental scales. The analysis was carried out using: 1) NOAA Advanced Very High Resolution Radiometer (AVHRR) data over a 300-km × 300-km area in western Montana under various land-use practices (grass, crops, and forests), 2) Earth Resources Observations Systems Data Center continental US biweekly composite AVHRR data. Results from the automated approach agreed well with those using manual selection. At continental scales, the slope of Ts/NDVI is strongly correlated to crop-moisture index values indicating that Ts/NDVI relation is sensitive to surface moisture conditions. -from Authors
| Original language | English |
|---|---|
| Pages (from-to) | 548-557 |
| Number of pages | 10 |
| Journal | Journal of Applied Meteorology |
| Volume | 32 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1993 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
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