A modification of normalized difference drought index to enhance drought assessment using remotely sensed imagery.

Autor: Nguyen MH; Vietnam National Space Center,, Vietnam Academy of Science and Technology, No. 18 Hoang Quoc Viet Rd., Cau Giay Dist., Hanoi, Vietnam., Dao DT; Department of Geodesy & Geomatics Engineering, Faculty of Bridge and Road, Hanoi University of Civil Engineering, Hanoi, Vietnam., Le MS; Space Technology Institute, Vietnam Academy of Science and Technology, No. 18 Hoang Quoc Viet Rd., Cau Giay Dist., Hanoi, Vietnam. lmson@sti.vast.vn., Le TH; Center for Hydro-Meteorological Data and Information, Vietnam Meteorological and Hydrological Administration, Hanoi, Vietnam.
Jazyk: angličtina
Zdroj: Environmental monitoring and assessment [Environ Monit Assess] 2024 Sep 03; Vol. 196 (10), pp. 883. Date of Electronic Publication: 2024 Sep 03.
DOI: 10.1007/s10661-024-13060-9
Abstrakt: Drought is one of the common natural disasters with a wide range of occurrences in terms of space and time, and with varying levels of severity, that may result in economic damage and health issues to humans. This study focuses on assessing drought severity in the Central Highlands of Vietnam based on ground meteorological stations and multispectral remote sensing data. A Modification of the Normalized Difference Drought Index (MNDDI) was developed to enhance the effectiveness of remote sensing indices in the drought assessment. Results indicate that MNDDI outperforms Normalized Difference Drought Index and other investigated indicators, such as Normalized Difference Vegetation Index, Normalized Difference Latent Heat Index, and Normalized Difference Water Index, in representing the Earth's surface response to drought events. Correlations ranging from 0.85 to 0.63 were identified between MNDDI and various time scales of the commonly used meteorological drought indicator, namely the Standardized Precipitation Index, during the drought year of 2015. This work also reveals the superiority of MNDDI in portraying the response of land cover types to drought situations. The finding of a severe drought phenomenon in critical agricultural zones is highly consistent with the report from the Ministry of Agriculture and Rural Development of Vietnam. This study contributes valuable insights to the preliminary assessment of drought through remote sensing data, offering a foundation for precise drought outlooks and effective risk management strategies.
(© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)
Databáze: MEDLINE
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