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.
Pareeth, S.; Metz, M.; Rocchini, D.; Salmaso, N.; Neteler, M.G. (2013). Warm Lakes: retrieval of lake surface water temperature (LSWT) for large sub-alpine lakes from multiple sensor satellite imageries. In: XXI Congresso dell'Associazione Italiana di oceanologia e limnologia A.I.O.L. "Limnologia e Oceanografia nel Terzo Millennio: nuove frontiere o assenza di frontiere?" Lignano Sabbiadoro (Ud), Terrazza a mare - 23-26 SETTEMBRE 2013: 9. url: http://aiol2013.ogs.trieste.it/content/riassunti handle: http://hdl.handle.net/10449/22867
Warm Lakes: retrieval of lake surface water temperature (LSWT) for large sub-alpine lakes from multiple sensor satellite imageries
Pareeth, Sajid;Metz, Markus;Rocchini, Duccio;Salmaso, Nico;Neteler, Markus Georg
2013-01-01
Abstract
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.File | Dimensione | Formato | |
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