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Retrieving water surface temperature from archive LANDSAT thermal infrared data: Application of the mono-channel atmospheric correction algorithm over two freshwater reservoirs
Institution:1. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;1. Physics of Aquatic Systems Laboratory, Margaretha Kamprad Chair, EPFL-ENAC-IEE-APHYS, CH-1015 Lausanne, Switzerland;2. Odermatt & Brockmann GmbH c/o The HUB Zurich Association, Viaduktstrasse 93–95, CH-8005 Zürich, Switzerland;3. Brockmann Consult GmbH, Max-Planck-Str. 2, D-21502 Geesthacht, Germany;4. INRA — UMR CARRTEL, 75 avenue de Corzent, BP 511, F-74203 Thonon-les-Bains Cedex, France;5. Eawag, Swiss Federal Institute of Aquatic Science and Technology, Surface Waters — Research and Management, Seestrasse 79, CH-6047 Kastanienbaum, Switzerland
Abstract:Water surface temperature is a key element in characterizing the thermodynamics of waterbodies, and for irregularly-shaped inland reservoirs, LANDSAT thermal infrared images are the best alternative yet for the retrieval of this parameter. However, images must be corrected mainly for atmospheric effects in order to be fully exploitable. The objective of this study is to validate the mono-channel correction algorithm for single-band thermal infrared LANDSAT data as put forward by Jiménez-Muñoz et al. (2009). Two freshwater reservoirs in continental France were selected as study sites, and best use was made of all accessible image and field data. Results obtained are satisfactory and in accordance with the literature: r2 values are above 0.90 and root-mean-square error values are comprised between 1 and 2 °C. Moreover, paired Wilcoxon signed rank tests showed a highly significant difference between field and uncorrected image data, a very highly significant difference between uncorrected and corrected image data, and no significant difference between field and corrected image data. The mono-channel algorithm is hence recommended for correcting archive LANDSAT single-band thermal infrared data for inland waterbody monitoring and study.
Keywords:Waterbodies  Remote sensing  Thermal infrared  Water surface temperature  LANDSAT 7 ETM+  Atmospheric correction  Mono-channel algorithm
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