Continuous global-scale mapping of human settlements in support to international agreements calls for massive volumes of multi-source, multi-temporal and multi-scale Earth Observation (EO) data. In this paper, the latest developments in terms of processing EO datacubes for the purpose of improving the Global Human Settlement Layer (GHSL) data are presented. Two workflows with Sentinel-1 and Landsat data collections were run leveraging on the Joint Research Centre (JRC) Earth Observation and Processing Platform (JEODPP). The paper presents the processing workflows and the results of the two main workflows giving insights into the enhanced mapping capabilities gained by analyzing Sentinel-1 and Landsat datasets, and the lessons learnt in terms of handling and processing Earth Observation datacubes.
CORBAN Christina;
PESARESI Martino;
POLITIS Panagiotis;
SYRRIS Vasileios;
FLORCZYK Aneta;
SOILLE Pierre;
MAFFENINI Luca;
BURGER Armin;
VASILEV Veselin;
RODRIGUEZ ASERETTO Roque Dario;
SABO Filip;
DIJKSTRA Lewis;
KEMPER Thomas;
2017-12-21
Publications Office of the European Union
JRC108770
978-92-79-73527-1,
1831-9424,
https://publications.jrc.ec.europa.eu/repository/handle/JRC108770,
10.2760/383579,
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