• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Conference on remote sensing and modeling of ecosystems for sustainability >Comparative Analysis of Land Surface Emissivity Retrieval Methods and the Impact on the Land Surface Temperature Based on Landsat-8 Thermal Infrared Data
【24h】

Comparative Analysis of Land Surface Emissivity Retrieval Methods and the Impact on the Land Surface Temperature Based on Landsat-8 Thermal Infrared Data

机译：基于Landsat-8热红外数据的土地表面发射率检索方法的比较分析及对土地表面温度的影响

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

With the increasingly prevalent and far-reaching application of remote sensing, several algorithms have been put forward for land surface temperature retrieval. However, there is still no consensus on the calculation of land surface emissivity (LSE), which is one of the significant parameters in land surface temperature (LST) retrieval. In this paper, two methods of estimating LSE based on thematic mapper data were introduced: Van's empirical formula method and the mixed pixels method. Based on the detailed introduction to Van's empirical formula and the mixed pixels decomposing method in computing surface emissivity, Landsat-8 thermal infrared data and the radiative transfer equation method were used to obtain the land surface temperature in Taihu region. In this paper, atmospheric parameters are based on real-time atmospheric profile to reduce the LST error brought by the atmospheric profile. Two figures were acquired, which represented the LST of Van's empirical formula and the mixed pixels decomposing method respectively. The relationship between land surface temperature and land cover was also studied.
机译：随着遥感越来越普遍和达到深远的应用，已经提出了几种算法进行了陆地温度检索。然而，仍然没有关于土地表面发射率（LSE）的计算，这是陆地温度（LST）检索中的重要参数之一。本文介绍了基于主题映射数据的估算LSE的两种方法：范的经验公式方法和混合像素方法。基于面包车经验公式的详细介绍和计算表面发射率的混合像素分解方法，使用Landsat-8热红外数据和辐射传递方程方法来获得太湖地区的陆地表面温度。在本文中，大气参数基于实时大气型材，以减少大气型材带来的LST误差。获得了两个图，其中分别表示VAN的经验公式的LST和混合像素分解方法。还研究了陆地温度和陆地覆盖之间的关系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号