使用Landsat 8/9卫星频段进行水体和植被的增强地表温度绘制的ALST-W综合指数
Sam Navin MohanRajan1, Agilandeeswari Loganthan2, Prabukumar Manoharan3
1School of Computing, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, TN, India.
Scientific reports
|July 9, 2025
概括
一个新的适应性陆地水体表面温度 (ALST-W) 指数分析卫星数据,绘制水体对陆地表面温度的影响. 该方法准确评估环境变化,有助于对植被和水资源的保护工作.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 土地表面温度 (LST) 地图对于监测全球土地使用和土地覆盖 (LU/LC) 变化至关重要.
- 分析水体对LST的影响对于理解局部环境动态至关重要.
- 现有的方法可能无法有效地将水体的热影响纳入LST评估中.
研究的目的:
- 引入和验证适应性陆地水体表面温度 (ALST-W) 指数.
- 调查印度贾瓦迪山区水体对LST的影响.
- 提供统一的图,显示植被和水体的温度数据.
主要方法:
- 利用了2020年,2022年和2024年的Landsat 9/8卫星图像.
- 应用遥感和GIS技术来分析LST.
- 开发和实施了新的ALST-W索引.
- 通过谷歌地球引擎 (GEE) 的参考地图验证结果.
主要成果:
- 与GEE参考图相比,ALST-W指数的准确性很高,平均达到95.06%.
- 该指数成功地将高植被,低植被和水体的温度数据集成到一个地图中.
- 该研究提供了水体影响的热变化的清晰可视化.
结论:
- ALST-W指数是分析受水体影响的LST变化的一个有效工具.
- 这项研究为贾瓦迪山脉的环境监测和土地管理提供了有价值的数据.
- 调查结果支持决策者做出明智的决策,以保护重要的植被和水资源免受损失.
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