Title :
Improvement of soil moisture monitoring using EVI as a key parameter based on TVDI in the north China plain
Author :
Yue Shan ; Adu Gong ; Yongrong Su ; Wenyu Liu ; Jing Li ; Yunhao Chen ; Weiguo Jiang
Author_Institution :
State Key Lab. of Earth Surface Processes & Resource Ecology, Beijing Normal Univ., Beijing, China
Abstract :
Soil moisture is a key component of land surface parameterization. The triangle/trapezoid feature space can be used to monitor soil moisture effectively. This research aims to use enhanced vegetation index (EVI) as an alternative for the normalized difference vegetation index (NDVI) in estimation of temperature vegetation dryness index (TVDI) to improve its ability of retrieving soil moisture and to discuss the flexibility of EVI in retrieval of soil moisture. The result shows that LST-EVI has higher R2 in linear regression and more significant in validation at depth of 0-10cm than LST-NDVI. Influence caused by altitude for LST-EVI in monitoring soil moisture will be discussed in this study. In comparison with precipitation, LST-EVI and soil moisture shows a better mirror symmetry in dry season than in rainy season.
Keywords :
atmospheric temperature; rain; remote sensing; soil; vegetation mapping; EVI flexibility; LST-EVI altitude; LST-NDVI; North China plain; TVDI estimation; depth validation; dry season mirror symmetry; enhanced vegetation index; key parameter; land surface parameterization; linear regression; normalized difference vegetation index; precipitation; rainy season; soil moisture monitoring improvement; soil moisture retrieval ability; temperature vegetation dryness index estimation; triangle-trapezoid feature space; Indexes; Land surface; Land surface temperature; Soil moisture; Temperature sensors; Vegetation mapping; EVI; NDVI; TVDI; soil moisture;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723643
