Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses

Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses

Satellite remote sensing is a valuable tool for monitoring flooding. Microwave sensors are especially appropriate instruments, as they allow the differentiation of inundated from non-inundated areas, regardless of levels of solar illumination or frequency of cloud cover in regions experiencing substantial rainy seasons. In the current study we present the longest synthetic aperture radar-based ...

Mapping Rice Seasonality in the Mekong Delta with Multi-Year Envisat ASAR WSM Data

Rice is the most important food crop in Asia, and the timely mapping and monitoring of paddy rice fields subsequently emerged as an important task in the context of food security and modelling of greenhouse gas emissions. Rice growth has a distinct influence on Synthetic Aperture Radar (SAR) backscatter images, and time-series analysis of C-band images has been successfully employed to map rice...

Varying Scale and Capability of Envisat ASAR-WSM, TerraSAR-X Scansar and TerraSAR-X Stripmap Data to Assess Urban Flood Situations: A Case Study of the Mekong Delta in Can Tho Province

Earth Observation is a powerful tool for the detection of floods. Microwave sensors are typically favored as they deliver data enabling water detection independent of solar illumination or cloud cover conditions. However, scale issues play an important role in radar based flood mapping. Depending on the flood related phenomenon under investigation, some sensors might be more suitable than other...

Use of ENVISAT/ASAR wide-swath data for timely rice fields mapping in the Mekong River Delta

Asar Derived Flood Maps for Flood Propagation Model Calibration

During flood events Earth Observation (EO) Synthetic Aperture Radar (SAR) is able to provide valuable information on the spatial extent of inundations. With its multi-polarisation capacity, the ENVISAT ASAR instrument is now able to propose reliable data for maximum flood extent retrieval. These extents can be useful in calibrating and/or evaluating flood propagation models and their uncertaint...