Krzysztof Sterenczak

Orcid: 0000-0002-9556-0144

According to our database1, Krzysztof Sterenczak authored at least 21 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

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

Assessment of Iran's Mangrove Forest Dynamics (1990-2020) Using Landsat Time Series.
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
Forest biomass retrieval approaches from earth observation in different biomes.
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


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