Forest_type_classification.js - code for forest types mapping based on Sentinel-1 and Sentinel-2 satellite data with 10 meters spatial resolution in the Google Earth Engine cloud platform. The code is also available via a direct link if you have a Google Earth Engine account: https://code.earthengine.google.com/8a7c6b1cb32120385c77d70b2a290217
Resulting_map.js - the resulting maps that can be used directly in the Google Earth Engine cloud platform: https://code.earthengine.google.com/60d93cacfbf69fcbe324fbe04c8525c7
Forest mapping conducted within the framework of the HORIZON Europe project "Satellites for Wilderness Inspection and Forest Threat Tracking" (SWIFTT) by Space research institute NAS of Ukraine and SSA of Ukraine in collaboration with National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" for the European territory in 2022 and 2024. The methodology is based on Sentinel-1 and Sentinel-2 satellite data from the Copernicus program, providing high spatial resolution imagery at 10 meters and Random Forest classifier.
A preview of the forest type map for the territory of Europe for 2022 is available in Earth Engine Apps: https://ee-swiftt.projects.earthengine.app/view/foresttype
References
- Kussul, N., Shelestov, A., Yailymov, B., & Yailymova, H. (2023, September). Semi-Supervised Forest Type Mapping in Europe on Satellite Data. In 2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Vol. 1, pp. 454-458. https://doi.org/10.1109/IDAACS58523.2023.10348948
- Salii, Y., Kuzin, V., Hohol, A., Kussul, N., & Yailymova, H. (2023, July). Machine learning models and technology for classification of forest on satellite data. In IEEE EUROCON 2023-20th International Conference on Smart Technologies, pp. 93-98. https://doi.org/10.1109/EUROCON56442.2023.10199006
- Yailymov, B., Yailymova, H., Kussul, N., & Shelestov A. (2024, September) Semi-supervised European forest types mapping using high-fidelity satellite data. In 4th International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2024), 25-27.09.2024. https://ceur-ws.org/Vol-3777/paper1.pdf