期刊名称：GI_FORUM - Journal for Geographic Information Science
电子版ISSN：2308-1708
出版年度：2015
页码：424-433
DOI：10.1553/giscience2015s424
出版社：ÖAW Verlag, Wien
摘要：This study investigates the combination of images by both radar and optical sensors forenvironmental modelling in dynamic landscapes. The study area is located in Eastern Kenyaand contains three of the largest refugee camps in the world. The fast provision of reliableinformation about the environmental conditions is needed by humanitarian organizationsin order to coordinate their work and help the displaced people. We conducted a landcover classification based on RapidEye, Sentinel-1 and SRTM data using a Random Forestapproach. Different combinations of input data were compared in order to achieve bestresults. The output accuracy was 84 % based on 17 predictor layers. These were generatedusing second order SAR texture filters and multi-scale topographic indices. Especially acombination of all three input types led to promising results.
