谷歌地球引擎应用于绘制和监测干旱模式和趋势:美国阿肯色州案例研究

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Ecological Indicators Pub Date : 2024-10-24 DOI:10.1016/j.ecolind.2024.112759
Shadia A. Alzurqani , Hamdi A. Zurqani , Don White Jr. , Kathleen Bridges , Shawn Jackson
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引用次数: 0

摘要

干旱是指长期干旱,会对环境、人类健康、经济、农业和能源资源造成严重影响。它可能导致缺水、毁坏庄稼、使森林干枯,并减少野生动物和牲畜的食物和水供应。本研究的主要目标是1)量化美国阿肯色州干旱模式的变异性和分布;2)使用遥感指数研究该地区干旱与植被覆盖之间的相关性;3)开发一个基于云的框架(用户友好型应用程序),以方便评估阿肯色州过去几十年的干旱影响。还对植被健康指数(VHI)和气象指数进行了相关性分析,以更好地了解气象干旱对植被压力的影响。此外,还使用 Mann-Kendall 趋势分析来评估气象干旱指数的趋势。结果表明,干旱在三月和八月最为普遍。研究结果显示,约有 31% 的研究区域属于四个干旱等级(即 1%极度干旱、4%严重干旱、9%中度干旱和 19%轻度干旱),春季和生长季节出现中度干旱,特别是在农业区,尤其是密西西比冲积河谷平原的州和县一级。8 月份,约 31% 的研究区域属于四个干旱等级(即 1%极度干旱、4%严重干旱、9%中度干旱和 19%轻度干旱),春季和生长季节经历了中度干旱,特别是在农业区,尤其是在密西西比冲积谷平原的州和县一级。这项研究为政策制定者、环境科学家和农业利益相关者减轻干旱影响和应对未来气候不确定性提供了重要依据。
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Google Earth Engine application for mapping and monitoring drought patterns and trends: A case study in Arkansas, USA
Drought is a prolonged dry period that can have severe impacts on the environment, human health, economies, agriculture, and energy resources. It can lead to water shortages, ruin crops, dry out forests, and reduce the availability of food and water for wildlife and livestock. The primary objectives of this study are to: 1) quantify the variability and distributions of drought patterns in Arkansas, United States (US), 2) use remotely sensed indices to investigate the correlation between drought and vegetation cover in the area, and 3) develop a cloud-based framework (user-friendly app) to facilitate the assessment of drought impact in Arkansas over the past decades. A correlation analysis was also performed between the Vegetation Health Index (VHI) and meteorological indices to better understand the impact of meteorological drought on vegetation stress. In addition, Mann-Kendall trend analysis was used to assess trends in meteorological drought indices. The results indicate that drought is most prevalent during March and August months. The results of this study revealed that approximately 31% of the study area fell under the four drought classes (i.e., 1% Extreme drought, 4% Severe drought, 9% moderate drought, and 19% mild drought), with spring and the growing season experiencing moderate drought, particularly in agricultural areas, most notably within the Mississippi Alluvial Valley Plain at both state and county levels. In August, approximately 31% of the study area fell under the Four drought classes (i.e., 1% Extreme drought, 4% Severe drought, 9% moderate drought, and 19% mild drought), with spring and the growing season experiencing moderate drought, particularly in agricultural areas, most notably within the Mississippi Alluvial Valley Plain at both state and county levels. This study provides an essential foundation for policymakers, environmental scientists, and agricultural stakeholders aiming to mitigate drought impacts and safeguard against future climate uncertainties.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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