Krzysztof Sterenczak
Orcid: 0000-0002-9556-0144
According to our database1,
Krzysztof Sterenczak
authored at least 23 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Mobile Devices in Forest Mensuration: A Review of Technologies and Methods in Single Tree Measurements.
Remote. Sens., October, 2024
Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset.
CoRR, 2024
2023
Past decade above-ground biomass change comparisons from four multi-temporal global maps.
Int. J. Appl. Earth Obs. Geoinformation, April, 2023
Correction: Erfanifard et al. Assessment of Iran's Mangrove Forest Dynamics (1990-2020) Using Landsat Time Series. Remote Sens. 2022, 14, 4912.
Remote. Sens., March, 2023
2022
Correcting the Results of CHM-Based Individual Tree Detection Algorithms to Improve Their Accuracy and Reliability.
Remote. Sens., 2022
Remote. Sens., 2022
Semantic Segmentation (U-Net) of Archaeological Features in Airborne Laser Scanning - Example of the Białowieża Forest.
Remote. Sens., 2022
2021
Single Tree Classification Using Multi-Temporal ALS Data and CIR Imagery in Mixed Old-Growth Forest in Poland.
Remote. Sens., 2021
2020
ALS-Based Detection of Past Human Activities in the Białowieża Forest - New Evidence of Unknown Remains of Past Agricultural Systems.
Remote. Sens., 2020
Global Airborne Laser Scanning Data Providers Database (GlobALS) - A New Tool for Monitoring Ecosystems and Biodiversity.
Remote. Sens., 2020
Digital Aerial Photogrammetry (DAP) and Airborne Laser Scanning (ALS) as Sources of Information about Tree Height: Comparisons of the Accuracy of Remote Sensing Methods for Tree Height Estimation.
Remote. Sens., 2020
The Use of Remotely Sensed Data and Polish NFI Plots for Prediction of Growing Stock Volume Using Different Predictive Methods.
Remote. Sens., 2020
Mapping individual trees with airborne laser scanning data in an European lowland forest using a self-calibration algorithm.
Int. J. Appl. Earth Obs. Geoinformation, 2020
Assessing the sensitivity of site index models developed using bi-temporal airborne laser scanning data to different top height estimates and grid cell sizes.
Int. J. Appl. Earth Obs. Geoinformation, 2020
Tree species identification within an extensive forest area with diverse management regimes using airborne hyperspectral data.
Int. J. Appl. Earth Obs. Geoinformation, 2020
Species dominance and above ground biomass in the Białowieża Forest, Poland, described by airborne hyperspectral and lidar data.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Int. J. Appl. Earth Obs. Geoinformation, 2019
Estimation of sub-canopy solar radiation from LiDAR discrete returns in mixed temporal forest of Białowieża, Poland.
Int. J. Appl. Earth Obs. Geoinformation, 2019
2018
Modeling Solar Radiation in the Forest Using Remote Sensing Data: A Review of Approaches and Opportunities.
Remote. Sens., 2018
Testing and evaluating different LiDAR-derived canopy height model generation methods for tree height estimation.
Int. J. Appl. Earth Obs. Geoinformation, 2018
Forest Aboveground Biomass Estimation Using a Combination of Sentinel-L and Sentinel-2 Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
"Laser Discoverers" - Web-based User-generated Content in Heritage Detection in Poland.
Trans. GIS, 2017
2010
Fuzzy Hough Transform-Based Methods for Extraction and Measurements of Single Trees in Large-Volume 3D Terrestrial LIDAR Data.
Proceedings of the Computer Vision and Graphics - International Conference, 2010