Bogdan Zagajewski

Orcid: 0000-0001-7882-5318

According to our database1, Bogdan Zagajewski authored at least 25 papers between 2007 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Sentinel-2 versus PlanetScope Images for Goldenrod Invasive Plant Species Mapping.
Remote. Sens., February, 2024

Airborne Hyperspectral Images and Machine Learning Algorithms for the Identification of Lupine Invasive Species in Natura 2000 Meadows.
Remote. Sens., February, 2024

2023
Mountain Tree Species Mapping Using Sentinel-2, PlanetScope, and Airborne HySpex Hyperspectral Imagery.
Remote. Sens., February, 2023

2022
Mapping Invasive Plant Species with Hyperspectral Data Based on Iterative Accuracy Assessment Techniques.
Remote. Sens., 2022

Sentinel-2 and AISA Airborne Hyperspectral Images for Mediterranean Shrubland Mapping in Catalonia.
Remote. Sens., 2022

Airborne HySpex Hyperspectral Versus Multitemporal Sentinel-2 Images for Mountain Plant Communities Mapping.
Remote. Sens., 2022

2021
Comparison of Random Forest, Support Vector Machines, and Neural Networks for Post-Disaster Forest Species Mapping of the Krkonoše/Karkonosze Transboundary Biosphere Reserve.
Remote. Sens., 2021

Assessment of Sentinel-2 Images, Support Vector Machines and Change Detection Algorithms for Bark Beetle Outbreaks Mapping in the Tatra Mountains.
Remote. Sens., 2021

Comparison of Support Vector Machines and Random Forests for Corine Land Cover Mapping.
Remote. Sens., 2021

Crowdsourcing without Data Bias: Building a Quality Assurance System for Air Pollution Symptom Mapping.
ISPRS Int. J. Geo Inf., 2021

2020
Comparison of Support Vector Machine and Random Forest Algorithms for Invasive and Expansive Species Classification Using Airborne Hyperspectral Data.
Remote. Sens., 2020

2019
In Situ Hyperspectral Remote Sensing for Monitoring of Alpine Trampled and Recultivated Species.
Remote. Sens., 2019

Lead-Induced Changes in Fluorescence and Spectral Characteristics of Pea Leaves.
Remote. Sens., 2019

2018
Citizen science and WebGIS for outdoor advertisement visual pollution assessment.
Comput. Environ. Urban Syst., 2018

Tree Species Classification of the UNESCO Man and the Biosphere Karkonoski National Park (Poland) Using Artificial Neural Networks and APEX Hyperspectral Images.
Remote. Sens., 2018

Classification of High-Mountain Vegetation Communities within a Diverse Giant Mountains Ecosystem Using Airborne APEX Hyperspectral Imagery.
Remote. Sens., 2018

The Impact of Tourist Traffic on the Condition and Cell Structures of Alpine Swards.
Remote. Sens., 2018

2017
Intraspecific Differences in Spectral Reflectance Curves as Indicators of Reduced Vitality in High-Arctic Plants.
Remote. Sens., 2017

2016
Use of laboratory hyperspectral reflectance data of soils for predicting their diurnal albedo dynamics accomodating their roughness.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

2014
Effects of Different Illumination and Observation Techniques of Cultivated Soils on Their Hyperspectral Bidirectional Measurements Under Field and Laboratory Conditions.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

2011
Use of undisturbed and artificial soil samples for the brf laboratory measurements of cultivated soils complementing the measurements acquired in the field.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

2010
Classification of high-mountain plant communities using artificial neural nets and hyperspectral data.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

SNNS application for crop classification using HyMap data.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

Combining classifiers for robust hyperspectral mapping using Hierarchical Trees and class memberships.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2007


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