Geospatial Mapping of Drought Risk in Thuan Bac District, Vietnam Using Landsat 8 OLI-TIR Data

This study evaluates drought risk in Thuan Bac District, Ninh Thuan Province, Vietnam, between 2018 and 2023 using Landsat 8 OLI-TIR imagery. Geospatial indices including the Temperature Vegetation Dryness Index (TVDI), the Normalized Difference Vegetation Index (NDVI), and surface temperature data were applied to classify drought severity into five categories. The resulting maps were validated with field observations and indicate that over 60% of the district experienced moderate to severe drought during the study period. Areas with minimal or extreme drought conditions accounted for a smaller proportion. This case study illustrates the effectiveness of remote sensing in drought risk assessment and provides vital insights for sustainable land and water resource management in semi-arid regions.

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Publication Details

Journal
International Journal of Scientific Engineering and Research
Published
2025-09-12
DOI
https://doi.org/10.70729/se25905094641
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
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article

Geospatial Mapping of Drought Risk in Thuan Bac District, Vietnam Using Landsat 8 OLI-TIR Data

Nguyễn Thị Thúy Hằng, Tran Thi Thu Trang
International Journal of Scientific Engineering and Research
Remote Sensing and Land Use
article

Geospatial Mapping of Drought Risk in Thuan Bac District, Vietnam Using Landsat 8 OLI-TIR Data

Nguyễn Thị Thúy Hằng, Tran Thi Thu Trang
article en

Abstract

This study evaluates drought risk in Thuan Bac District, Ninh Thuan Province, Vietnam, between 2018 and 2023 using Landsat 8 OLI-TIR imagery. Geospatial indices including the Temperature Vegetation Dryness Index (TVDI), the Normalized Difference Vegetation Index (NDVI), and surface temperature data were applied to classify drought severity into five categories. The resulting maps were validated with field observations and indicate that over 60% of the district experienced moderate to severe drought during the study period. Areas with minimal or extreme drought conditions accounted for a smaller proportion. This case study illustrates the effectiveness of remote sensing in drought risk assessment and provides vital insights for sustainable land and water resource management in semi-arid regions.

International Journal of Scientific Engineering and Research
Openalex Percentile: Top 70%
Remote Sensing and Land Use
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