RS4FOR project: Forest change detection and monitoring using passive and active remote sensing data
The main goal of the RS4FOR project is to develop and test approaches which allow to improve forest cover change detection and monitoring using different types of remote sensing data (optical data: Landsat 4, 5, 7, 8 (data time series from 1985 to 2017) and Sentinel 2 (data time series from 2015-17), radar data: Sentinel 1 (data time series from 2014-17), and data from airborne laser scanning (ALS) (2013, project ISOK). We will focus on both forest cover conversion and modification, and on three different aspects of forest monitoring: (1) forest cover and its change (2) prediction models of forest structure and its change and finally (3) forest health. Our approaches will be developed for temperate forest; mountainous areas.
Test area is located in the Polish Carpathians. The outcome from this project will be a set of algorithms, products and metrics for the combine use of optical, radar and lidar data in accurate spatial and temporal forest cover change detection and monitoring at landscape level.
National Science Centre, Poland, project no. 2015/19/B/ST10/02127
• Ewa Grabska
• Katarzyna Ostapowicz
• Katarzyna Staszyńska
• Anna Zielonka
Humboldt-Universitat zu Berlin, Geography Department, Geomatics Lab., Germany
• Patrick Hostert
• Dirk Pflugmacher
• David Frantz
Jagiellonian University, Institute of Geography and Spatial Management, Department of Pedology and Soil Geography
• Marek Drewnik
CON@SK.PL project: Transboundary ecological connectivity – modelling landscapes and ecological flows (No. 21640051)
The aim of the CON@SK.PL project is to better understand the habitat connectivity in the Northern Carpathians of Slovakia and Poland. In the forthcoming year, our international team will work on multispecies connectivity assessment for the brown bear (Ursus arctos) and European bison (Bison bonasus L.).Using the state-of-the-art approaches allow us to substantially contributed to pressing conservation issues related to these species. The project is funded by the Visegrad Fund.
Project webpage: CON@SK.PL project
Visegrad Fund project no. 21640051
• Katarzyna Ostapowicz
• Wojciech Łachowski
• Forest Research Institute, National Forest Centre
• Humboldt-Universitat zu Berlin, Geography Department, Biogeography Lab., Germany
• Jagiellonian University, Institute of Environmental Sciences
• Polish Academy of Sciences, Institute of Nature Conservation, Poland
• Polish Academy of Sciences, Museum and Institute of Zoology, Carpathian Wildlife Research Station, Poalnd
• Slovak Academy of Sciences, Institute of Geography (Robert Pazur, coordinator)
• State Nature Protection SR
• Swiss Federal Research Institute WSL
Project: Estimation of total organic carbon stock in the Polish Carpathians
The main aim of the project is the determination of total organic carbon stock spatial diversity in the mountain temperate forest (the Polish Carpathians) with particular emphasis of belowground biomass (soil and root mass analysis) and the aboveground biomass (forest litter). The field work was conducted in summer season. Laboratory analysis are in progress.
DSC – funds for young reaseracher (postdocs and doctoral students) from the Faculty of Geography and Geology at the Jagiellonian University . Project no. K/DSC/004779
Project: Assessment of the possibility of remote identification of selected features of the Carpathian forests, typical for forests of a primeval character
The aim of the project is to test the possibility of remote detection of selected features of the Carpathian forests, typical for forests of a primeval character. The assumption is to obtain a method for identification of large-size trees and the places of dead trees or their fragments accumulations. The work carried out so far includes field studies on the monitoring plots in the Magura National Park and the preliminary analysis of obtained data.
DSC – funds for young reaseracher (postdocs and doctoral students) from the Faculty of Geography and Geology at the Jagiellonian University . Project no. K/DSC/004772