Combining vegetation index and remotely sensed temperature for estimation of soil moisture in China
The relationship between remotely sensed surface temperature ( T ) and normalized difference vegetation index (NDVI) was studied over China with 10‐day composite Advanced Very High Resolution Radiometer (AVHRR) data at 8‐km spatial resolution. Results showed that the slope of the relationship between T and NDVI ( T /NDVI slope) could be determined effectively during the growing season with a certain range of NDVI. The derived T /NDVI slope from image windows was significantly correlated to in situ soil moisture ( r = 0.77, p
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Document Type: Research Article
Affiliations: LARSIS, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Datun Road, Beijing, 100101, China
Publication date: 2006-05-01