Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/23794
Title: 
Authors: 
Keywords: 
Soil moisture
LST-NDVI triangle
Land surface temperature
Gravimetric method
Issue Date: 
2022
Citation: 
Ho, H. L., Vu, H. S., Tran, D. D., Park, E., & Giang, A. D. (2022). Mapping volumetric soil moisture in the Vietnamese Red River Delta using Landsat 8 images. Journal of Spatial Science, Advance online publication. https://doi.org/10.1080/14498596.2022.2034130
Journal: 
Journal of Spatial Science
Abstract: 
This study estimates the surface soil moisture content in a case study situated in the Vietnamese Red River Delta, using the Landsat 8 satellite images. The trapezoidal relationship between land surface temperature and vegetation index was used to obtain soil wetness indexes. A split-window algorithm was developed to overcome the missing of atmospheric data. The method was validated with ground truth across different land covers. The RMSE between the calculated and measured SMC ranges between 0.556 and 0.971 and varies across different types of land covers. The method is important to monitor SMC across large areas with limited surveyed data.
Description: 
The open access publication is available at: https://doi.org/10.1080/14498596.2022.2034130
URI: 
ISSN: 
1449-8596 (print)
1836-5655 (online)
DOI: 
File Permission: 
None
File Availability: 
No file
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