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9 October 2018 Temporal backscattering coefficient decorrelation in burned areas
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Abstract
Fire is considered an essential climate variable (ECV) by the Global Climate Observing System (GCOS). Remote sensing is often used to detect the burned areas and subsequently estimate CO2 emissions from wildfires. Most burned area mapping approaches are based on optical images. However, cloud cover independent radar datasets are increasingly employed for burned area detection. This study presents results related to a burned area detection algorithm based on temporal series of backscatter images. The algorithm was developed in the frame of the ESA’s Fire cci project. During the development, it was observed that large temporal differences exist between the fire date and the date when significant changes of the C-band backscatter coefficient occurred. In this contribution we analysed this temporal decorrelation. The aim was to quantify it and try to understand the reasons behind it and thus improve the C-band SAR based mapping algorithm.
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Miguel A. Belenguer-Plomer, Mihai A. Tanase, Angel Fernandez-Carrillo, and Emilio Chuvieco "Temporal backscattering coefficient decorrelation in burned areas", Proc. SPIE 10788, Active and Passive Microwave Remote Sensing for Environmental Monitoring II, 107880T (9 October 2018); https://doi.org/10.1117/12.2325650
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