tel: +48 22 329-19-89
e-mail: adam.wasniewski@igik.edu.pl
He graduated geography, specialisation geoinformatics, cartography and remote sensing at Faculty of Geography and Regional Studies, University of Warsaw. The title of his bachelor’s thesis was “Analysis of land cover change and deforestation in the province Ngounie (Gabon) during the period 2003-2013” and master’s thesis “Assessment of Sentinel-2 satellite images for mapping of forest in Gabon”. He graduated in September 2018. Since October 2023, Adam Waśniewski has been a PhD student at the Doctoral School of Exact and Natural Sciences at the University of Warsaw. His doctoral research focuses on the assessment of the potential of Sentinel-2 satellite images and machine learning algorithms for mapping heterogenious land cover classes.
Adam has been working in the Institute of Geodesy and Cartography since June 2018. So far, he has worked on development of Corine Land Cover 2018 database, verification of high-resolution layer (HRL) and on historical range of forests based on CORONA satellite images. Developed land cover maps using machine learning and neural networks in the InCoNaDa project (study areas in Poland and Norway) and InCoNaDa_UA (study areas in Ukraine). Adam also was a part of a team which collects data in a field, in projects: NCBiR RPA- SA4POL and NCBiR Gyroscan.
Participation in research projects:
Identification of forests on the post-agricultural land based on archival satellite images of the CORONA mission and recent Sentinel-2 imagery, and development of a method to detect and monitor weak forest stands based on spectral indices.
Enhancing the user uptake of Land Cover / Land Use information derived from the integration of Copernicus services and national databases – case study Ukraine InCoNaDa+UA
Norway Grants – InCoNaDa (2020-2023) Enhancing the user uptake of Land Cover / Land Use information derived from the integration of Copernicus services and national databases
Identification of forests on former agricultural lands based on available satellite data (2018-2020); funding: State Forests National Forest Holdings
SAT4EST – Earth observation-based service supporting local administration in non-state forest management
CORINE Land Cover 2018 (2017-2018)
Recent publications / presentations / posters:
Strand, G.-H., Heggem, E.S.F., Aune-Lundberg, L., Hościło, A., Waśniewski, A., 2024. Transformation of a Classified Image from Pixel Clutter to Land Cover Map Using Geometric Generalization and Thematic Self-Enrichment. Geomatics 4, 271–285. https://doi.org/10.3390/geomatics4030015
Waśniewski A., Hościło A., Aune-Lundberg L. (2023). The impact of selection of reference samples and DEM on the accuracy of land cover classification based on Sentinel-2 data, Remote Sensing Applications: Society and Environment 32, 101035. PAPER
Waśniewski A., Hościło A., Aune-Lundberg L. (2023) Can we Improve the Accuracy of the Land Cover Classification by Pre-selection of the Reference Samples and Applying DEM in the Mountain Area in Norway? 42th EARSeL Symposium 2023, 3-6 July, Bucharest. ABSTRACT
Waśniewski A., Hościło A., Lewandowska A. (2022). Comparison of hierarchical and flat land cover classification of Sentinel-2 data. European Space Agency’s 2022 Living Planet Symposium. POSTER
Waśniewski A., Hościło A., Chmielewska M. (2022). Can a Hierarchical Classification of Sentinel-2 Data Improve Land Cover Mapping? Remote Sens. 2022, 14, 989. PAPER
Waśniewski A., Kałuski M., Hościło A., Lewandowska A., Chmielewska M., 2021, Can a Hierarchical Classification of Sentinel-2 Data Improve the Land Cover Mapping? 40th EARSeL Symposium 2021 European Remote Sensing-New Solutions for Science and Practice, 7-10 June, online hosted by the University of Warsaw. ABSTRACT
Waśniewski, Adam & Hoscilo, Agata & Zagajewski, Bogdan & Mouketou-Tarazewicz, Dieudonne. (2020). Assessment of Sentinel-2 Satellite Images and Random Forest Classifier for Rainforest Mapping in Gabon. Forests. 11. 941. 10.3390/f11090941. PAPER
