Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for land cover mapping in a Mediterranean region
Author:
Affiliation:
1. Dipartimento Di Agraria, Università Degli Studi Mediterranea Di Reggio Calabria, Reggio Calabria, Italy
2. Forest Research Centre, School of Agriculture, University of Lisbon, Lisboa, Portugal
Publisher
Informa UK Limited
Subject
General Medicine
Link
https://www.tandfonline.com/doi/pdf/10.1080/22797254.2021.2018667
Reference91 articles.
1. ESA SNAP Cookbook (2021): https://senbox.atlassian.net/wiki/spaces/SNAP/pages/24051769/Cookbook. Last access 11/03/2021
2. Sentinel Hub’s cloud detector repository (2021): https://github.com/sentinel-hub/sentinel2-cloud-detector
3. Sistema Nacional de Informação Geogrãfica (SNIG) (2021): https://snig.dgterritorio.gov.pt/. Last access 15/03/2021
4. Could land surface phenology be used to discriminate Mediterranean pine species?
5. Moisture content estimation of Pinus radiata and Eucalyptus globulus from reconstructed leaf reflectance in the SWIR region
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