Development of large scale flooding detection method by integrating historical global record using AMSR-E/AMSR2 with PALSAR

In this paper, we built LSWC database in time series from 2002 to 2015 derived from AMSR-E, Windsat and AMSR2 to detect flood events. Then, by conducting spatio-temporal analysis we made clear the flooding pattern and dug up some regularity, hidden information of flooding in different land use land cover situation based on viewpoint of retrieval of historical global record. Last, PALSAR data was used to conduct more precise calibration of AMSR-E by establishing a calibration function of index NDFI, NDPI with PALSAR LSWC. It shows a good relationship between these indexes. Thus, the availability and importance of LSWC database for flooding detection on global scale was indicated.