Daniel Paluba

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

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...

Current optical vegetation indices (VIs) for monitoring forest ecosystems are well established and widely used in various applications, but can be limited by atmospheric effects such as clouds. In contrast, synthetic aperture radar (SAR) data can offer insightful and systematic forest monitoring with complete time series (TS) due to signal penetrat...

Forest cover plays an essential role in maintaining ecological equilibrium, mitigating climate change, and securing a sustainable future for both humanity and the planet. Most countries conduct forest inventory or remote sensing surveys every few years to monitor changes in forest cover. However, only a few initiatives offer more frequent updates,...

The frequency of wildfires is increasing worldwide, contributing to a third of forest loss in the last two decades. Tracking burned area progression using traditional optical remote sensing is hindered by cloud and smoke coverage. Therefore, this research employs multi-temporal Synthetic Aperture Radar (SAR) satellite data, which are not susceptibl...

Time series analysis of synthetic aperture radar data (SAR) offers a systematic, dynamic and comprehensive way to monitor forests. The main emphasis of this study is on the identification of the most suitable and best performing Sentinel-1 SAR polarimetric parameters for forest monitoring. This is accomplished through: 1) a pairwise correlation ana...

The purpose of this study is to evaluate the accuracy and validate eight precipitation datasets available in Google Earth Engine (GEE) on a daily basis. The analysis was carried out on a point-to-pixel basis using in-situ rain gauge measurements for the period between 2001 and 2021 for a central European environment of Czechia. Statistical results...

Geografické rozhledy 3/4 (2023–2024). Družicový dálkový průzkum Země (DPZ) poskytuje objektivní a kontinuální pohled na krajinu, a tím umožňuje lépe porozumět jevům na zemském povrchu pro posílení informovaného rozhodování na lokální, regionální nebo celostátní úrovni. Cílem tohoto článku je poukázat na vysoce užitečné datové zdroje a technologie z...

Wildfires are one of the most significant threats to ecosystems and are increasing in frequency globally. The aim of this study is to monitor the evolution of selected wildfires in Greece that occurred during August 2021 using Sentinel-1 SAR data and unsupervised k-means clustering in Google Earth Engine. First, changes in time series after the sta...

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...

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...

[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...

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...

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...

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...

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...

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...

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...

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...