Utilizing Sentinel-1A Radar Images for Large-Area Land Cover Mapping with Machine-learning Methods
Author:
Affiliation:
1. Department of Forest Sciences, University of Helsinki, Helsinki, Finland;
2. Simosol Oy Ltd, Riihimäki, Finland;
3. Big data industrial applications, VTT Technical Research Center of Finland, Espoo, Finland
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/07038992.2019.1635877
Reference11 articles.
1. LAND COVER MAPPING USING SENTINEL-1 SAR DATA
2. Sentinel-1A SAR data for global urban mapping: Preliminary results
3. Mapping CORINE Land Cover from Sentinel-1A SAR and SRTM Digital Elevation Model Data using Random Forests
4. ASSESSMENT OF CROPPING SYSTEM DIVERSITY IN THE FERGANA VALLEY THROUGH IMAGE FUSION OF LANDSAT 8 AND SENTINEL-1
5. Random Forests for land cover classification
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