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

Volume

1

fYear

2008

fDate

7-11 July 2008

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.2008.4778856

Filename

4778856