Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/9720
Title: Using ERS-2 and ALOS PALSAR images for soil moisture and inundation mapping in Cyprus
Authors: Alexakis, Dimitrios 
Agapiou, Athos 
Themistocleous, Kyriacos 
Retalis, Adrianos ItemCrisRefDisplayStrategy.rp.deleted.icon
Hadjimitsis, Diofantos G. 
Keywords: ALOS Palsar;Cyprus;ERS-2;Flood;Remote sensing;Soil moisture
Category: Civil Engineering;Civil Engineering
Field: Engineering and Technology
Issue Date: 1-Apr-2013
Publisher: SPIE
Source: 1st International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2013; Paphos; Cyprus; 8 April 2013 through 10 April 2013
metadata.dc.doi: 10.1117/12.2028337
Abstract: Floods are among the most frequent and costly natural disasters in terms of human and economic loss and are considered to be a weather-related natural disaster. This study strives to highlight the potential of active remote sensing imagery in flood inundation monitoring and mapping in a catchment area in Cyprus (Yialias river). GeoEye-1 and ASTER images were employed to create updated Land use /Land cover maps of the study area. Following, the application of fully polarimetric (ALOS PALSAR) and dual polarimetric (ERS - 2) Synthetic Aperture Radar (SAR) data for soil moisture and inundation mapping is presented. For this purpose 2 ALOS PALSAR images and 3 ERS-2 images were acquired. This study offers an integrated methodology by the use of multi-angle radar images to estimate roughness and soil moisture without the use of ancillary field data such as field measurements. The relationship between soil moisture and backscattering coefficient was thoroughly studied and linear regression models were developed to predict future flood inundation events. Multi-temporal FCC images, classification, image fusion, moisture indices, texture and PCA analysis were employed to assist soil moisture mapping. Certain land cover classes were characterized as flood prone areas according to statistics of their signal response. The results will be incorporated in an integrated flood risk assessment model of Yialias catchment area.
URI: http://ktisis.cut.ac.cy/handle/10488/9720
ISBN: 978-081949638-6
Rights: © 2013 SPIE.
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

Show full item record

Page view(s) 50

60
Last Week
2
Last month
2
checked on Feb 24, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.