Title :
Retrieving Soil Moisture by TVDI Based on Different Vegetation Index: A Case Study of Shanxi Province
Author :
Shen, Runping ; Yu, Peng ; Yan, Jing ; Wang, Yunfeng
Author_Institution :
Key Lab. of Meteorol. Disaster of Minist. of Educ., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
Abstract :
Combined with ground weather observation data from March 2005 to October, the MODIS vegetation index products was used to analysis the sensitivity of Ratio Vegetation Index (RVI), Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) under different coverage of surface. Together with the MODIS land surface temperature products to form the feature space of Ts/RVI, Ts/NDVI and Ts/EVI, from which obtaining the Temperature-Vegetation Dryness Index (TVDI). Based on TVDI, the 0-20 cm relative soil moisture is acquired. Results show that the average soil moisture retrieved from Ts/EVI is closer to in situ data. Average retrieved soil moisture relative to average verification soil moisture has a deviation of 2%-12%. However, the Ts/RVI has a better accuracy of retrieving soil moisture under vegetation coverage of higher than 0.6, while Ts/EVI performs better for inversing soil moisture under low vegetation coverage of lower than 0.4.
Keywords :
land surface temperature; radiometry; soil; vegetation; AD 2005 03 to 10; MODIS land surface temperature; MODIS vegetation index products; Shanxi province; enhanced vegetation index; ground weather observation data; normalized difference vegetation index; ratio vegetation index; soil moisture; temperature-vegetation dryness index; Equations; Indexes; Land surface temperature; Mathematical model; Remote sensing; Soil moisture; Vegetation mapping; TVDI; soil moisture; vegetation index;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.476