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Warm Lakes: retrieval of lake surface water temperature (LSWT) for large sub-alpine lakes from multiple sensor satellite imageries

机译:温暖的湖泊:从多个传感器卫星图像中检索大型亚高山湖泊的湖面水温(LSWT)

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摘要

Much of the research involving in-situ field data is now relying on remote sensing as an alternative. In this study we are implementing a methodology to retrieve the surface temperature for large lakes leveraging the thermal infrared data from satellite sensors - AVHRR and MODIS. Combining datasets from these two sensors provides datasets beginning from 1978 to present. The performance of the sensors in capturing the thermal structure of water bodies will be assessed and validated with the available data recorded in Lake Garda with field instrumentation. The reconstructed temperatures from MODIS using a newly developed algorithm will be used. At the same time, LWST will be generated from the AVHRR thermal band and will be reconstructed following the same algorithm to make it comparable with the MODIS dataset. A comparison study between different SST (Sea Surface Temperature) algorithms in retrieving surface temperature and the new reconstruction algorithm will be carried out on data from both the sensors. With this study we want to implement a method to develop longest temporal spatially continuous database for LSWT combining different sensor data.
机译:现在,涉及现场数据的许多研究都依赖于遥感作为替代方案。在这项研究中,我们正在实施一种方法,利用卫星传感器AVHRR和MODIS的热红外数据来检索大型湖泊的表面温度。结合这两个传感器的数据集可以提供从1978年至今的数据集。将利用现场仪器在加尔达湖中记录的可用数据来评估和验证传感器在捕获水体热结构方面的性能。将使用新开发的算法从MODIS重构温度。同时,LWST将由AVHRR热带产生,并按照相同的算法进行重构,使其与MODIS数据集具有可比性。将对来自两个传感器的数据进行不同的SST(海面温度)算法检索表面温度和新的重构算法之间的比较研究。通过这项研究,我们希望实现一种方法,以结合不同的传感器数据为LSWT开发最长的时间空间连续数据库。

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