Title :
Relating Surface Albedo and Vegetation Index with Surface Dryness Using Landsat ETM+ Imagery
Author :
Yao, Yunjun ; QIN, Qiming ; Zhu, Lin ; Yang, Nan
Author_Institution :
Inst. of Remote Sensing, Peking Univ., Beijing
Abstract :
The objective of this paper is to analyze the albedo-NDVI spectral feature space to develope drought estimation methods using Landsat ETM+ imagery. A simple ratio and differences of surface albedo and normalized difference vegetation index (NDVI) are examined. The methods are compared against field measured soil moisture at Shunyi test site in Beijing, China. Results indicate that there are close correlations between soil moisture and both albedo-NDVI difference index (AVDI) and albedo-vegetation ratio index (VARI). The coefficient of determination (R2) between AVDI and 5 cm soil moisture is 0.45. The strongest correlation between the VARI versus soil moisture R2 = 0.4103.
Keywords :
albedo; hydrology; moisture; remote sensing; soil; vegetation; AVDI; Beijing; China; Landsat ETM+ imagery; Shunyi test site; VARI; albedo-NDVI difference index; albedo-NDVI spectral feature space; albedo-vegetation ratio index; drought estimation methods; normalized difference vegetation index; soil moisture; surface albedo; surface dryness; Condition monitoring; Land surface; Land surface temperature; Reflectivity; Remote sensing; Satellites; Soil measurements; Soil moisture; Testing; Vegetation mapping; AVDI; Albedo-NDVI spectral space; VARI; soil moisture; surface dryness;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4778856
