Authors

Affiliations

1Ho Chi Minh City University of Science, Vietnam National University Ho Chi Minh City

Abstracts

Drought is a constant threat to Vietnam which causes great damage to the economy as well as forest ecosystems. Due to the increasingly complex drought-related impacts, remote sensing technology with outstanding advantages compared to traditional research methods has been applied effectively in research, monitoring, and coping with drought. Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) were calculated from Landsat imagery. The Temperature Vegetation Dryness Index (TVDI) with the combination of LST and NDVI index, was used as an indicator for drought risk assessment in Cu Chi District in 2005, 2010, 2015, and 2020. The results show a significant increase in dry areas between 2005-2010 and 2015-2020. On the other hand, the results of the TVDI index and mapping drought of Cu Chi district on February 13, 2005, February 11, 2010, January 24, 2015 and February 23, 2020 are a basis for risk assessment and drought monitoring.

Keywords

Cite this paper

Tran Thị Thanh Dung, Duong Thi Thuy Nga (2020), Applying TVDI based on remote sensing data to evaluate the drought in Cu Chi District. Vietnam Journal of Hydrometeorology, 4, 41-52. 

 

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