Maximum flood extent—a key data need for disaster response and mitigation—is rarely quantified due to storm-related cloud cover and the low temporal resolution of optical sensors. While change detection approaches can circumvent these issues through the identification of inundated land and soil from post-flood imagery, their accuracy can suffer in the narrow and complex channels of increasingly...

Recent advances in polarimetric SAR show promise for augmenting the capability of traditional interferometric SAR. In particular, a polarimetric topography technique provides useful slope information, and polarimetric interferometry may be used to decompose the response into vegetation and ground surface contributions. Here we discuss an integrated approach that utilizes the combined capability...

This research aimed at assessing flood hazard areas and literacy of the elderly population in Bangkok, Thailand analyzing their preparedness through SWOT analysis. Expert interviews a community survey were conducted. Using analytic hierarchy process (AHP) GIS technique, results indicated that land-use, drainage density, annual maximum rainfall most heavily weighted factors mapping Bangkok. Abou...

Indonesia, as a developed country, has water-related disaster problems. Flood is one of them and it occurs in mostly province, including Banten province. Lebak Regency the region Province history flood occurrences. According to Provincial BPBD (2021), among 2015-2020 period, twenty-nine events occurred Regency. The severest that period 2020. A total 2389 residents’ homes forty-five units public...

Floods are one of the most destructive natural disasters, causing financial and human losses every year. As a result, reliable Flood Susceptibility Mapping (FSM) is required for effective flood management reducing its harmful effects. In this study, new machine learning model based on Cascade Forest Model (CFM) was developed FSM. Satellite imagery, historical reports, field data were used to de...

Humanitarian organizations have a crucial role in response and relief efforts after floods. The effectiveness of disaster response is contingent on accurate and timely information regarding the location, timing and impacts of the event. Here we show how two near-real-time data sources, satellite observations of water coverage and flood-related social media activity from Twitter, can be used to ...

Envisat ASAR Global Monitoring Mode (GM) data are used to produce maps of the extent of the flooding in Pakistan which are made available to the rapid response effort within 24 h of acquisition. The high temporal frequency and independence of the data from cloud-free skies makes GM data a viable tool for mapping flood waters during those periods where optical satellite data are unavailable, whi...

To improve hydro-chemical modeling and forecasting, there is a need to better understand flood-induced variability in water chemistry and the processes controlling it in watersheds. In the literature, assumptions are often made, for instance, that stream chemistry reacts differently to rainfall events depending on the season; however, methods to verify such assumptions are not well developed. O...

0019-1035/$ see front matter 2009 Published by doi:10.1016/j.icarus.2009.09.011 * Corresponding author. Address: US Geological Su Program, 2255 N. Gemini Dr., Flagstaff, AZ 86001, Un E-mail address: [email protected] (W.L. Jaeger). Recently acquired data from the High Resolution Imaging Science Experiment (HiRISE), Context (CTX) imager, and Compact Reconnaissance Imaging Spectrometer for Mars (C...