基于遥感的干旱危险监测和评估在沿海平原:一个主要组成部分的方法
Colins Johnny Jesudhas1, Jeswin Titus C2, Tirthankar Roy3
1Department of Civil Engineering, University College of Engineering, Nagercoil, Tamil Nadu, India.
Environmental research
|November 29, 2023
概括
准确的干旱监测对农业和社会至关重要. 本研究引入了使用遥感数据的合成干旱指数 (SDI),以评估干旱严重程度并确定脆弱地区.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 农业科学 农业科学
背景情况:
- 干旱对农业和社会构成重大风险,需要精确的监测.
- 干旱的主要指标包括降水不足,土壤水分不足和植被压力.
研究的目的:
- 开发和应用合成干旱指数 (SDI) 来评估干旱严重程度.
- 通过多源遥感数据识别易受干旱影响的地区.
主要方法:
- 利用来自TRMM和OLI的遥感数据.
- 计算的降雨状况指数 (PCI),植被状况指数 (VCI) 和温度状况指数 (TCI).
- 使用主要组件分析创建SDI的综合指数.
主要成果:
- 研究区被确定为容易遭受干旱的地区.
- 2016-2017年和2018-2019年的重大降水缺口导致了广泛的干旱影响.
- 东北沿海地区 (Ottapidaram,Thoothukudi,Vilathikulam) 是最脆弱的地区.
结论:
- 季风失效和半干旱气候导致水资源短缺和干旱.
- 合成干旱指数 (SDI) 有效地识别了干旱的开始和严重程度.
- 顺序的SDI评估可以帮助制定干旱缓解战略.
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