使用ASTER数据检索石家庄中部陆地表面温度的方法
Biao Zeng1, Guo-Fei Shang1, Xia Zhang2
1Hebei International Joint Research Center for Remote Sensing of Agricultural Drought Monitoring, Hebei GEO University, Shijiazhuang, 050031, China.
Environmental monitoring and assessment
|July 28, 2025
概括
温度和发射率分离算法是使用先进的太空热发射和反射射线 (ASTER) 数据在石家庄逆转陆地表面温度 (LST) 的最准确方法. 这种方法提供了可靠的高精度监测,特别是在数据稀缺的地区.
科学领域:
- 地球科学 地球科学 地球科学
- 遥感 遥感 遥感 遥感
- 环境监测 环境监测
背景情况:
- 土地表面温度 (LST) 对气候变化和生态研究至关重要.
- 卫星热红外遥感,像ASTER一样,提供高分辨率的LST数据.
- 根据地理区域和应用的算法,LST的反转精度有很大的不同.
研究的目的:
- 在石家庄使用ASTER数据评估和比较三种LST逆转算法的准确性.
- 确定最适合石家庄特定城市环境的LST反转方法.
- 在数据稀缺的地区提供可靠的高精度LST监测方法.
主要方法:
- 利用先进的太空热发射和反射放射仪 (ASTER) 数据用于LST反转.
- 应用并比较了三个算法:参考通道,分割窗口和温度/辐射率分离.
- 使用ENVI,ARCGIS,MODTRAN和MATLAB预处理的数据;通过气象,Landsat和MODIS数据进行验证.
主要成果:
- 温度和发射力分离算法在石家庄LST逆转中显示出最高的准确性.
- 倒置结果显示了所有测试的算法之间的空间一致性.
- 与MODIS产品的相关性分析给出了所有算法的R2值为0.72,温度和排放性分离算法显示了最高的相关性.
结论:
- 温度和辐射分离算法是石家庄城市地区LST逆转的最佳方法.
- 这项研究提供了一种有效的,高精度的方法来监测LST.
- 这一发现对于地面数据有限的地区尤为有价值.
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