Approximately one million refugees of the Rohingya minority population in Myanmar crossed the border to Bangladesh on 25 August 2017, seeking shelter from systematic oppression and persecution. This led to a dramatic expansion of the Kutupalong refugee camp within a couple of months and a decrease of vegetation in the surrounding forests. As many humanitarian organizations demand frameworks for camp monitoring and environmental impact analysis, this study suggests a workflow based on spaceborne radar imagery to measure the expansion of settlements and the decrease of forests. Eleven image pairs of Sentinel-1 and ALOS-2, as well as a digital elevation model, were used for a supervised land cover classification. These were trained on automatically-derived reference areas retrieved from multispectral images to reduce required user input and increase transferability. Results show an overall decrease of vegetation of 1500 hectares, of which 20% were used to expand the camp and 80% were deforested, which matches findings from other studies of this case. The time-series analysis reduced the impact of seasonal variations on the results, and accuracies between 88% and 95% were achieved. The most important input variables for the classification were vegetation indices based on synthetic aperture radar (SAR) backscatter intensity, but topographic parameters also played a role.

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The aim of this study is dealing with the use of Persistent Scoters Interferometry (PSI) technique to detect soil deformation. The main idea is to find out point candidates in the agricultural fields in the northern part of Larissa having the properties that PSI technique uses. The soil properties have been classified into five orders. Inside each soil order one point candidate has been chosen to identify the behavior of soil deformation and the effect of soil type on its deformation rate, through the time series analysis of PSI point targets and creating a statistic correlation in order to identify exactly the effect of soil characteristics (soil properties) on its deformation.