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检查巴基斯坦的景观转型和温度动态

Awais Ali¹, Bilal Hussain^2,3, Riaz Ul Hissan⁴

¹Department of Geography, Government Graduate College Gojra, Toba Tek Singh, Gojra, Pakistan. awaisali43jb@gmail.com.

Scientific reports

|January 20, 2025

概括

本研究使用光谱指数分析了巴基斯坦的景观变化和温度动态. 它揭示了土地表面温度的显著波动,特别是在森林地区,突出了这些环境因素的复杂性.

科学领域:

环境科学环境科学
遥感遥感遥感遥感
地理空间分析的研究.

背景情况:

土地表面温度 (LST) 动态受景观形态和表面热特性的影响.
了解景观转型对于评估环境变化及其对温度的影响至关重要.
巴基斯坦的马丹地区呈现出一个充满活力的景观,需要对其热特性进行详细分析.

研究的目的:

调查巴基斯坦开伯帕赫图肯瓦省马丹区的景观变化和温度动态.
在三十年 (1993-2023) 期间识别植被覆盖面,水体,不透水面和LST的变化.
探索各种光谱指数和LST之间的关系,以了解热行为.

主要方法:

利用了从1993年到2023年的十年遥感数据,用四个时间间隔.
使用谷歌地球引擎云计算平台进行数据分析.
计算的光谱指数:土地表面温度 (LST),规范差异植被指数 (NDVI),规范差异水指数 (NDWI),规范差异构建指数 (NDBI) 和规范差异裸露指数 (NDBI).

主要成果:

在研究期间观察到陆地表面温度范围从15.58°C到43.71°C.
确定了LST的显著波动,特别是在覆盖和保护森林内.
在研究区域的西北和东南部分检测到明显的LST变异.

结论:

景观转型对陆地表面温度动态产生重大影响.
光谱指数是分析复杂的LST变异和景观特征的宝贵工具.
需要进一步的研究,才能充分理解LST与不同环境中的光谱指数之间的复杂关系.

关键词:

谷歌的地球引擎.土地表面的温度地表的温度景观转型景观转型遥感是一种远程传感.频谱指数是指光谱的指数.温度的动态温度的动态

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