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过程感知植被干旱模型 (PCVDM):分析中国湖南省植被干旱的动态

Zhimei Zhang¹, Zhijun Jiao¹, Lixin Wu¹

¹School of Geosciences and Info-physics, Central South University, Changsha, 410012, China; Center of Subtropics Remote Sensing, Central South University, Changsha, 410083, China; Lab of Geohazards Perception, Cognition and Prediction, Central South University, Changsha, 410083, China.

Journal of environmental management

|March 2, 2025

概括

气候变化加剧干旱,威胁生态系统. 这项研究引入了一种量化植被干旱的新模型,揭示了中国不同高度的不同影响.

科学领域:

环境科学环境科学
遥感遥感遥感遥感
生态生态学生态生态学

背景情况:

由于气候变化,干旱频率和严重程度的增加威胁着全球的植被.
精确量化植被干旱至关重要,但仍然具有挑战性,目前正在进行科学辩论.

研究的目的:

开发一个定量遥感模型来评估植被干旱条件.
描述植被对干旱反应的时空特征,并确定关键值.

主要方法:

使用改进的多谱植被指数和土地表面温度开发了一个特征空间.
设计了一个植被干旱响应 (VDR) 模块,并确定了植被干旱过程 (VDP) 和值 (VDT).
构建了一个过程感知植被干旱模型 (PCVDM) 用于定量遥感检索.

主要成果:

在湖南省 (2000-2023) 进行的遥感分析显示,植被对干旱的反应取决于高度.
高海拔地区 (>800米) 呈现出与温度上升相关的绿色增加.
低海拔地区 (<200米) 经历了由于蒸发转化增加而加剧的植被干旱.

结论:

PCVDM提供了一种可靠的方法,用于定量监测植被干旱.
高度显著影响植被对干旱的反应,在中等海拔地区观察到复杂的相互作用 (约. 400米) 的时间.
了解这些多样化的反应对于在不断变化的气候条件下有效的生态系统管理至关重要.

关键词:

干旱加剧了干旱加剧了干旱.过程感知植被干旱模型.时间空间变化.亚热带地区的遥感技术植被干旱监测植物干旱监测

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