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Spatiotemporal evolution of land surface temperature of Lake Oubeira catchment, northeastern Algeria

机译:阿尔及利亚东北北北方集水区土地温度的时空演变

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The difficulties of access and detailed measurements of land surface temperature (LST) and water surface temperature (WST) especially in wetlands made the use of remote sensing data as one of the sources and techniques to estimate many climate elements including surface temperature and surface emissivity (é?). This study aims to estimate the surface temperature of the wetland of Lake Oubeira located in northeastern Algeria and their spatiotemporal evolution in both land and water. Landsat OLI-TIRS images in two dates (April and September 2016) obtained from the USGS have been used in this work, and forms the basis of a series of operations to obtain the final LST: development of the normalized difference vegetation index (NDVI), conversion of the digital number (DN) of the thermal infrared band (TIR) into spectral radiance as well as the calculation of the effective luminosity temperature of the sensor from the spectral radiation and surface emissivity (é?).
机译:诸如湿地的土地表面温度(LST)和水表面温度(WST)的难以使用遥感数据作为估计包括表面温度和表面发射率的许多气候元件的源和技术之一é?)。本研究旨在估算位于阿尔及利亚东北北部的欧北湖湿地的表面温度及其在土地和水中的时空演变。从USGS获得的两个日期(2016年4月和2016年9月)的Landsat Oli-Tirs已经在这项工作中获得,并形成了一系列运营的基础,以获得最终LST:归一化差异植被指数的发展(NDVI)的发展,将热红外频带(TIR)的数字数(DN)转换为光谱辐射,以及从光谱辐射和表面发射率(é)的传感器的有效发光度温度的计算。

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