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 |
Appears in Collections: | Journal Articles |
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