Projects funded by the NCN
Spruce Forest Damage Assessment Using Machine Learning on Sentinel-2 Time Series in the Tatra Mountains
2023/49/N/ST10/00517
Keywords:
remote sensing bark beetle mountain forests ecosystem disturbances Sentinel-2 spatiotemporal analysis
Descriptors:
- ST10_12:
- ST10_16:
Panel:
ST10 - Earth sciences: Earth system science, atmospheric sciences, climatology, geochemistry, geodesy, geoecology, geophysics, physical geography, geoinformatics, planetary geology, pedology, mining, chemical and physical oceanology, environmental protection
Host institution :
Uniwersytet Warszawski, Wydział Geografii i Studiów Regionalnych
woj. mazowieckie
Principal investigator (from the host institution):
Number of co-investigators in the project: 2
Call: PRELUDIUM 22 - announced on 2023-03-16
Amount awarded: 100 107 PLN
Project start date (Y-m-d): 2024-01-12
Project end date (Y-m-d): 2026-01-11
Project duration:: 24 months (the same as in the proposal)
Project status: Project completed
Project description
Download the project description in a pdf file
Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.
Information in the final report
- Publication in academic press/journals (1)
- Mapping spatiotemporal mortality patterns in spruce mountain forests using Sentinel-2 data and environmental factorsAuthors:Kluczek Marcin, Zagajewski BogdanAcademic press:Ecological Informatics (rok: 2025, tom: 86, strony: 46040), Wydawca: ElsevierStatus:PublishedDOI:10.1016/j.ecoinf.2025.103074 - link to the publication