The synthetic aperture radar (SAR) imagery has been widely applied for flooding mapping based on change detection approaches. However, errors in the result are expected since not all land-cover changes flood-induced, and those sensitive to SAR data, such as crop growth or harvest over agricultural lands, clearance of forested areas, and/or modifications urban landscape. This study, therefore, i...

Flood mapping is a vital component for sustainable land use in flood-prone areas. Due to the frequency of flood events, local authorities demand effective yet simple methods preliminary identification areas at large scales subsequently define mitigation strategies. We focus here on workflow GeoFlood, parsimonious model which uses only high-resolution Digital Terrain Models (DTMs) geomorphologic...

flood is considered as a major threat among natural disasters in the world. this case becomes more important and has a higher risk in urban areas due to the existence of important uses. therefore, to reduce damages resulted from flood, this phenomenon must be managed and planned using structural and non-structural approaches. considering the development in iran has been carried out in high risk...

Due to its capacity for temporal and spatial coverage, remote sensing has emerged as a powerful tool for mapping inundation. Many methods have been applied effectively in remote sensing flood analysis. Generally, supervised methods can achieve better precision than unsupervised. However, human intervention makes its results subjective and difficult to obtain automatically, which is important fo...

Irrigation land suitability assessment and mapping play an imperative role for sustainable utilization of scarce physical land resources. The objectives of this study were to prepare spatial data base of physical land resources for irrigated agriculture and to assess land suitability for irrigation and developing suitable area map for the study area. The study was conducted at Fogera catchment,...

Wetlands are considered a challenging environment for mapping approaches based on Synthetic Aperture Radar (SAR) data due to their often complex internal structures and the diverse backscattering mechanisms caused by vegetation, soil moisture and flood dynamics contributing to the resulting imagery. In this study, a time series of >100 SAR images acquired by ENVISAT during a time period of ca. ...

A new agricultural flood losses prediction method using digital elevation data combined with agricultural economic data is presented. The method is based on dynamically simulating the procedure of flood out. An example in Huangdunhu flood detention area, Jiangshu province of China has been given to describe how to use it to predict the incoming agricultural losses. Compared with prior methods, ...