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Abstract

Facing the current trend of climate change, which is difficult to control, human life, as well as food sources, are increasingly seriously threatened by droughts that occur more frequently. Understanding the region's drought will help people avoid risks. The paper presents research on the method of assessing drought situations based on the integration of land surface temperature and vegetation characteristics in the drought index according to the Temperature Vegetation Dryness Index TVDI from remote sensing data. Landsat satellite images were used with image processing methods to test the drought assessment method for the test area of Di Linh district, Lam Dong province. The study period was the dry season in 2018. Reflective bands were used to determine vegetation cover as representative of soil moisture supplying water to crops. Vegetation characteristics are represented by Normalized Differential Vegetation Index NDVI. In contrast, the thermal infrared band is used to calculate the surface temperature. The results showed that the bare land and sparsely populated areas exhibited a higher level of drought than the vegetated areas. The research results demonstrate the ability of remote sensing technology to support the monitoring of drought in a space for a region, in order to help people make the right management decisions in planning.


 



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Article Details

Issue: Vol 2 No 4 (2019)
Page No.: 306-315
Published: Dec 31, 2019
Section: Research article
DOI: https://doi.org/10.32508/stdjet.v2i4.610

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Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Tran-Thi, V., Nguyen Ngan, H., Ha Quoc, V., Nguyen Hoang, L., & Ha Duong Xuan, B. (2019). Method of drought evaluation for a territory by the land surface temperature and vegetation relationship from remote sensing data. Science & Technology Development Journal - Engineering and Technology, 2(4), 306-315. https://doi.org/https://doi.org/10.32508/stdjet.v2i4.610

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