Sensitivity analysis of parameters and contrasting performance of ground filtering algorithms with UAV photogrammetry-based and LiDAR point clouds

P Klápště, M Fogl, V Barták, K Gdulová… - … Journal of Digital …, 2020 - Taylor & Francis
Most ground filtering algorithms are primarily designed for airborne LiDAR point cloud
processing and their successful use in identifying ground points from photogrammetric point …

Analysis of post-mining vegetation development using remote sensing and spatial regression approach: A case study of former Babina Mine (Western Poland)

A Buczyńska, J Blachowski, N Bugajska-Jędraszek - Remote Sensing, 2023 - mdpi.com
The vegetation of the post-mining areas is subject to constant and significant changes.
Reclamation works, carried out after the cessation of mineral extraction, contribute to the …

LiDAR Data Fusion to Improve Forest Attribute Estimates: A Review

M Balestra, S Marselis, TT Sankey, C Cabo… - Current Forestry …, 2024 - Springer
Abstract Purpose of the Review Many LiDAR remote sensing studies over the past decade
promised data fusion as a potential avenue to increase accuracy, spatial-temporal …

Assessment of LiDAR ground filtering algorithms for determining ground surface of non-natural terrain overgrown with forest and steppe vegetation

V Moudrý, P Klápště, M Fogl, K Gdulová, V Barták… - Measurement, 2020 - Elsevier
Ground filtering is an inevitable step of processing the Light detection and ranging-acquired
point clouds. Our objective was to evaluate the performance of six filtering algorithms. The …

An improved ground control point configuration for digital surface model construction in a coal waste dump using an unmanned aerial vehicle system

H Ren, Y Zhao, W Xiao, X Wang, T Sui - Remote Sensing, 2020 - mdpi.com
Coal production in opencast mining generates substantial waste materials, which are
typically delivered to an on-site waste dump. As a large artificial loose pile, such dumps …

LiDAR Point Clouds Usage for Mapping the Vegetation Cover of the “Fryderyk” Mine Repository

M Szostak, M Pająk - Remote Sensing, 2022 - mdpi.com
The paper investigates the usage of LiDAR (light detection and ranging) data for the
automation of mapping vegetation with respect to the evaluation of the ecological …

Remote sensing and GIS technologies in land reclamation and landscape planning processes on post-mining areas in the Polish and world literature

A Buczyńska - AIP Conference Proceedings, 2020 - pubs.aip.org
All stages of mining activities, starting with the exploration phase up to the end of the
extraction works lead to significant natural landscape alteration and formation of new …

PlanetScope imageries and LiDAR point clouds processing for automation land cover mapping and vegetation assessment of a reclaimed sulfur mine

M Szostak, J Likus-Cieślik, M Pietrzykowski - Remote Sensing, 2021 - mdpi.com
The present research investigated the possibility of using PlanetScope imageries and
LiDAR point clouds for land cover assessment, especially vegetation mapping, in degraded …

Reclaimed area land cover mapping using Sentinel-2 Imagery and LiDAR Point Clouds

M Szostak, M Pietrzykowski, J Likus-Cieślik - Remote Sensing, 2020 - mdpi.com
This paper investigates the possibility of using fusion Sentinel-2 imageries (2016, ESA) and
light detection and ranging (LiDAR) point clouds for the automation of land cover mapping …

[HTML][HTML] Spatial estimation of soil organic carbon, total nitrogen, and soil water storage in reclaimed post-mining site based on remote sensing data

AM Misebo, P Hawryło, M Szostak, M Pietrzykowski - Ecological Indicators, 2024 - Elsevier
Abstract The estimation of Soil Organic Carbon (SOC), Total Nitrogen (TN), and Soil Water
Storage (SWS) is crucial in comprehending ecosystem services and environmental …