Automatic boosted flood mapping from satellite data
نویسندگان
چکیده
منابع مشابه
Human-guided Flood Mapping on Satellite Images
Flooding is responsible for substantial loss of life and economy. Flood mapping, the process of distinguishing flooded areas from non-flooded areas during and after a disaster, can be very useful in guiding first response resources in a disaster situation, and in assessing flood risk in future disaster scenarios. This paper involves the use of image segmentation methods and human guidance to pr...
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Space-borne SAR sensors are of special interest for mapping flood extent due to the possibility to acquire images in all weather conditions. In this article we review the SAR part of an operational flood mapping service. An operational service requires fully automatic methods that are able to process any available SAR data in near-real time. Mapping flood with SAR requires different approaches ...
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Floods are among the most devastating natural hazards in society. Flood forecasting is crucially important in order to provide warnings in time to protect people and properties from such disasters. This research applied the high-resolution coupled hydrologic–hydraulic model from the University of California, Irvine, named HiResFlood-UCI, to simulate the historical 2008 Iowa flood. HiResFlood-UC...
متن کاملA Neural Network Approach to Flood Mapping Using Satellite Imagery
This paper presents a new approach to flood mapping using satellite synthetic-aperture radar (SAR) images that is based on intelligent techniques. In particular, we apply artificial neural networks, self-organizing Kohonen’s maps (SOMs), for SAR image segmentation and classification. Our approach was used to process data from different satellite SAR instruments (ERS-2/SAR, ENVISAT/ASAR, RADARSA...
متن کاملFlood Inundation Mapping from Optical Satellite Images Using Spatiotemporal Context Learning and Modest AdaBoost
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...
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ژورنال
عنوان ژورنال: International Journal of Remote Sensing
سال: 2016
ISSN: 0143-1161,1366-5901
DOI: 10.1080/01431161.2016.1145366