Flood risk mapping and vulnerability analysis using GIS: empirical evidences from New Town area, Ondo, Ondo State, Nigeria. International Journal of Society Systems Science, 3(3): 291--304Oyinloye, M., and O. Olamiju, 2011, "Flood risk mapping and vulnerability analysis using GIS: Empirical...
Supported by RS and GIS, taking Changzhou as an example, the indicators of urbanization shown by two landuse type maps extracted from TM in 2001 and 2008 on flood risk are analyzed together with DEM and distance to discharge channel, it found that urbanized degree and flood risk are a ...
So that, the flood affected people can be rescued from inundation and can be evacuated to different safe places.Bera, KarticPal, MoumitaBandyopadhyay, JatisankarBera, et. al (2012), APPLICATION OF RS & GIS IN FLOOD MANAGEMENT:A CASE STUDY OF MONGALKOTE BLOCKS, BURDWAN,...
Urban flood risk assessment using AHP and geospatial techniques in swat Pakistan Article Open access 22 July 2023 Geospatial analysis and AHP for flood risk mapping in Quetta, Pakistan: a tool for disaster management and mitigation Article Open access 15 October 2024 Exploring a GIS-based ana...
Flood hazardAnalytical Hierarchy ProcessRS and GISProfile curvature[Display omitted]Istak AhmedDepartment of Geography and Disaster Management, Tripura University,... M Chakraborty 被引量: 0发表: 2013年 Flood-Prone Area Mapping of Manu-Deo River Basin, Tripura using GIS and RS The present study ha...
Flood risk mapping aims to create an easily read and rapidly accessible map to prioritize the mitigation effects. This study presents an empirical approach to flood risk mapping through the integration of Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) techniques. SRTM 30m ...
N. (2019). Application of GIS-based analytic hierarchy process and frequency ratio model to flood vulnerable mapping and risk area estimation at Sundarban region, India. Modelling Earth Systems and Environment, 5, 1083–1102. Article Google Scholar Andrew, T., Vernaccini, L., Marin, F.M....
Along with the RS and GIS techniques, the integrated multi-criteria decision analysis (MCDA), bivariate statistics (Frequency Ratio and Statistical Index) and machine learning models (Naïve Bayes Tree and Logistic Regression) helps to achieve very accurate results and, at the same time, with a...
(ML) methodologies and geographic information systems (GIS) has demonstrated remarkable promise in the realm of flood susceptibility mapping. Nonetheless, the inherent limitations of standalone ML models have constrained their predictive efficacy. Several shortcomings are evident in prior research. These ...
Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses DOI: 10.3390/rs5020687 Claudia Kuenzer,Huadong Guo,Juliane Huth,Patrick Leinenkugel,Xinwu Li,Stefan Dech Keywords: Flood, flood dynamics, flood progression, water detection, inundation, radar, Envisat,...