首页> 外文会议>Living planet symposium >LAND SURFACE TEMPERATURE RETRIEVAL IN WETLANDS USING NORMALIZED DIFFERENCE VEGETATION INDEX-EMISSIVITY ESTIMATION AND ASTER EMISSIVITY PRODUCT
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LAND SURFACE TEMPERATURE RETRIEVAL IN WETLANDS USING NORMALIZED DIFFERENCE VEGETATION INDEX-EMISSIVITY ESTIMATION AND ASTER EMISSIVITY PRODUCT

机译:使用归一化差异植被指数 - 发射率估计和紫苑发射率产品的湿地陆地温度检索

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Land Surface Temperature (LST) has the potential to act as a continuous indicator of the ecological status of wetlands. Accurate emissivity values are required in order to calculate precise LST. We test two emissivity retrieval methods and their influence on LST calculated from a Landsat 7 image of a highly dynamic wetland in Southern Spain. LST calculated using NDVI (Normalized Difference Vegetation Index) threshold estimations and the ASTER emissivity product are compared. The results show differences of around 0-1 K for most land covers, and up to 3 K for areas of bare soil when Landsat and ASTER images have the same acquisition date. Tests using Landsat and ASTER images from different seasons do not show greater differences between both LSTs. This has important implications for automated LST retrieval methods, such as the one planed by the USGS using Landsat and ASTER emissivity products.
机译:陆地温度(LST)有可能作为湿地生态地位的连续指标。为了计算精确的LST,需要精确的发射率值。我们测试了两个发射率检索方法及其对西班牙高度动态湿地的LANDAT 7图像计算的影响力。使用NDVI(归一化差异植被指数)阈值估计和抗ASter发射率产品计算的LST。结果显示大多数土地覆盖物差异约为0-1克,并且当Landsat和Aster图像具有相同的收购日期时,裸机区域最多3 k。使用来自不同季节的Landsat和Aster图像的测试不会在LST之间显示出更大的差异。这对自动化LST检索方法具有重要意义,例如使用Landsat和Aster发射率产品的USGS策划的方法。

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