ORIGINAL RESEARCH article
Front. Earth Sci.
Sec. Hydrosphere
Volume 13 - 2025 | doi: 10.3389/feart.2025.1564900
This article is part of the Research TopicAdvances in GIS and Remote Sensing Applications in the Monitoring of Regional Hydrology, Ecology and EnvironmentView all 5 articles
Spatial-Temporal Analysis of Agricultural Drought Risk: Insights from a Vietnam Case Study
Provisionally accepted
- 1RMIT University, Melbourne, Australia
- 2RMIT University Vietnam, Ho Chi Minh City, Vietnam
- 3Bureau of Meteorology (Australia), Melbourne, Victoria, Australia
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
A challenge in agricultural drought risk assessment (DRA) is the lack of standardization for selecting indicators and aggregation methods, leading to inconsistent and less reliable outcomes. This issue is particularly evident in Vietnam, where diverse agricultural practices and regional climates add complexity to the assessment process. This study proposes a methodological framework specifically designed for Vietnam's agricultural sector. It recommends the use of the Standardized Precipitation Index (SPI), Vegetation Health Index (VHI), and Soil Moisture (SM) for assessing drought hazards, while socioeconomic indicators such as agricultural land, population, Gross Domestic Product (GDP), total income, agriculture-based income, literacy rate, and poverty rate are suggested for evaluating exposure and vulnerability. The research assesses drought risk across mainland Vietnam from 2015 to 2022, employing both equal proportion and Principal Component Analysis (PCA) to determine indicator weightings. The study highlights the advantages of Geographic Information System (GIS) and Remote Sensing data in evaluating drought risk across Vietnam. The result of spatiotemporal analysis shows that the drought hazard index varies significantly on a monthly basis, while exposure and vulnerability indices remain relatively stable over the years. During the examined period, 2015 and 2016 were identified as the years with the highest drought risk, followed by 2019 and 2020. The Mekong Delta, Central Highlands, and Northwest regions consistently exhibited high drought risk, reflecting their agricultural practices and socioeconomic vulnerabilities. This dynamic analysis provides critical insights for policymakers and stakeholders to proactively manage drought impacts in Vietnam's agricultural sector.
Keywords: Agricultural drought risk, GIS, remote sensing, hazard, Exposure, Vulnerability
Received: 22 Jan 2025; Accepted: 06 May 2025.
Copyright: © 2025 Le, Sun, Tran, Choy and Kuleshov. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Tien Le, RMIT University, Melbourne, Australia
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.