Daniel Paluba

Daniel Paluba
Charles University in Prague | CUNI · Department of Applied Geoinformatics and Cartography

PhD candidate

About

13
Publications
9,302
Reads
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70
Citations
Citations since 2017
13 Research Items
70 Citations
20172018201920202021202220230510152025
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20172018201920202021202220230510152025
20172018201920202021202220230510152025
Introduction
I am a PhD candidate at Charles University in Prague in Remote Sensing. I am a member of the EO4Landscape research team, where my main focus is on the detection of forest changes using Synthetic Aperture Radar (SAR) data. My main interests include monitoring forest disturbances (e.g. bark beetle calamities, forest fires) and their subsequent recovery using (not only) time series analysis. I am also involved in my research team's land cover research and in various educational activities.
Education
October 2018 - June 2020
Charles University
Field of study
  • Cartography and geoinformatics
October 2015 - June 2018
Charles University
Field of study
  • Social geography and geoinformatics

Publications

Publications (13)
Article
Full-text available
Taking advantage of Earth Observation data for monitoring land cover has attracted the attention of a broad spectrum of researchers and end-users in recent decades. The main reason of increased interest in Earth Observation can be found mainly in open data of Landsat and Sentinel archive. The main objective of this study is to evaluate the accuracy...
Article
Full-text available
The development of Remote Sensing (RS) methods and data has brought new possibilities in evaluation of the changes in land cover. An evaluation of land cover changes of military training areas based on RS methods and data appears to be highly useful, because of the lack of traditional data on the landscape of these specific territories. The main ob...
Article
Full-text available
In this article, we investigated the detection of forest vegetation changes during the period of 2017 to 2019 in the Low Tatras National Park (Slovakia) and the Sumava National Park (Czechia) using Sentinel-2 data. The evaluation was based on a time-series analysis using selected vegetation indices. The case studies represented five different areas...
Article
Full-text available
This study deals with a local incidence angle correction method, i.e., the land cover-specific local incidence angle correction (LC-SLIAC), based on the linear relationship between the backscatter values and the local incidence angle (LIA) for a given land cover type in the monitored area. Using the combination of CORINE Land Cover and Hansen et al...
Article
Full-text available
Thermal infrared (TIR) satellite imagery collected by multispectral scanners is important to map land surface temperature on a global scale. However, the TIR spectral bands are typically available in coarser spatial resolution than other multispectral bands of shorter wavelengths. Therefore, the spatial resolution of the derived land surface temper...
Article
Full-text available
Land use, land-use change and forestry (LULUCF) is a greenhouse gas inventory sector that evaluates greenhouse gas changes in the atmosphere from land use and land-use change. This study focuses on the development of a Sentinel-2 data classification according to the LULUCF requirements on the cloud-based platform Google Earth Engine (GEE). The meth...
Thesis
Full-text available
[Master thesis. Paper published in Remote Sensing available from here: https://www.researchgate.net/publication/351436854_Land_Cover-Specific_Local_Incidence_Angle_Correction_A_Method_for_Time-Series_Analysis_of_Forest_Ecosystems ] To ensure the highest possible temporal resolution of SAR data, it is necessary to use all the available acquisition...
Book
Full-text available
The publication Czech Historical Atlas. Chapters on the History of the 20th Century freely follows the long-lasting cooperation between experts from the Institute of History CAS, the Department of Geomatics of the Faculty of Civil Engineering of the Czech Technical University in Prague and the Department of Social Geography and Regional Development...
Article
Full-text available
The objective of this paper is to assess WorldView-2 (WV2) and Landsat OLI (L8) images in the detection of bark beetle outbreaks in the Sumava National Park. WV2 and L8 images were used for the classification of forests infected by bark beetle outbreaks using a Support Vector Machine (SVM) and a Neural Network (NN). After evaluating all the availab...
Article
Full-text available
Současná tvář české krajiny je poznamenána mnoha historickými událostmi, které se na našem území odehrály. Měnící se politické režimy či odlišné ekonomické systémy se specifickými způsoby zapsaly do struktury krajiny. Ve studiích proměn jejího využívání dnes hrají významnou roli technologie dálkového průzkumu Země. Díky dálkovému průzkumu Země (DP...
Article
Full-text available
This study focused on the evaluation of forest vegetation changes from 1992 to 2015 in the Low Tatras National Park (NAPANT) in Slovakia and the Sumava National Park in Czechia using a time series (TS) of Landsat images. The study area was damaged by wind and bark beetle calamities, which strongly influenced the health state of the forest vegetatio...

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