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Observing floods from space: Experience gained from COSMO-SkyMed observations
Institution:1. Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, Rome 00184, Italy;2. Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy;3. Department of Civil Engineering and Computer Engineering, Tor Vergata University of Rome, Rome, Italy;4. Italian Space Agency, Unità Osservazione Della Terra, Matera, Italy;1. U.S. Geological Survey, Denver Federal Center, Box 25046, MS-974, Denver, CO 80225, USA;2. Native American Research and Preservation, Inc., Salida, CO 81201, USA;3. P.O. Box 704, Crestone, CO 81131, USA;1. Department of Automation, Electronic Engineering College, Heilongjiang University, Harbin 150080, China;2. Computer and Information Engineering College, Heilongjiang University of Science and Technology, Harbin 150022, China;1. Korea Aerospace Research Institute, 169-84 Gwahak-ro, Yuseong-gu, Daejeon 305-806, Republic of Korea;2. Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 305-764, Republic of Korea;1. Aalto University, Espoo, Finland;2. Institute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency, Japan
Abstract:The COSMO-SkyMed mission offers a unique opportunity to obtain all weather radar images characterized by short revisit time, thus being useful for flood evolution mapping. The COSMO-SkyMed system has been activated several times in the last few years in occasion of flood events all over the world in order to provide very high resolution X-band SAR images useful for flood detection purposes. This paper discusses the major outcomes of the experience gained, within the framework of the OPERA Pilot Project funded by the Italian Space Agency, from using COSMO-SkyMed data for the purpose of near real time generation of flood maps. A review of the mechanisms which determine the imprints of the inundation on the radar images and of the fundamental simulation tools able to predict these imprints and help image interpretation is provided. The approach developed to process the data and to generate the flood maps is also summarized. Then, the paper illustrates the experience gained with COSMO-SkyMed by describing and discussing a number of significant examples. These examples demonstrate the potential of the COSMO-SkyMed system and the suitability of the approach developed for generating the final products, but they also highlight some critical aspects that require further investigations to improve the reliability of the flood maps.
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