Thi Huyen Ai Tong; Phuc Hai Nguyen; Huu Dung Le; Hong Hien Vo; Thi Lan Pham

doi:10.54491/jgac.2020.46.52

Applied research | No. 46 (2020)

Drought Monitoring during the dry season by NDDI index on Google Earth Engine, a case study at Dak Nong province

DOI: 10.54491/jgac.2020.46.52

10.54491/jgac.2020.46.52

Published 2020-12-15

Thi Huyen Ai Tong⁺⁻
Phuc Hai Nguyen⁺⁻
Huu Dung Le⁺⁻
Hong Hien Vo⁺⁻
Thi Lan Pham⁺⁻

Thi Huyen Ai Tong

Technology Institute, Vietnam Academy of Science and Technology

Phuc Hai Nguyen

Technology Institute, Vietnam Academy of Science and Technology

Huu Dung Le

of Land Registration Office, Co Do District, Can Tho City, Can Tho Province

Hong Hien Vo

and Natural Resource Department of Ben Tre Province

Thi Lan Pham

of Geomatics and Land Administration, Hanoi University of Mining and Geology

PDF (Tiếng Việt) | Download: 389

Keywords

Drought index
composite images
Google Earth Engine. chỉ số hạn hán NDDI
ảnh tổ hợp
công cụ Google Earth Engine

Working Languages

How to Cite

Tong, T. H. A., Nguyen, P. H., Le, H. D., Vo, H. H., & Pham, T. L. (2020). Drought Monitoring during the dry season by NDDI index on Google Earth Engine, a case study at Dak Nong province. Journal of Geodesy and Cartography, (46), 49–56. https://doi.org/10.54491/jgac.2020.46.52

Abstract

In this study, the authors analyzed the relationship between the NDVI, NDWI, NDDI indexes and drought condition of Dak Nong province. Landsat images data in dry season from 2005-2019 quickly collected, pre-processed and calculated on Google Earth Engine. The results showed that NDWI and NDDI are more sensitive indicatior for drought than NDVI. In which, NDDI value > 0.8 and NDWI <0.1 are areas with slight drought. The higher the NDDI index, the higher the ability of a drought phenomenon. Therefore, this NDDI can be used as an indicator for drought monitoring for Dak Nong province during the dry season.

https://doi.org/10.54491/jgac.2020.46.52

PDF (Tiếng Việt) | Download: 389

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