Petr Klápště

Petr Klápště
Czech University of Life Sciences Prague | CULS · Department of Spatial Sciences

Ph.D.

About

11
Publications
3,747
Reads
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92
Citations
Introduction
Education
June 2015 - June 2021
Czech University of Life Sciences Prague
Field of study
  • Applied Landscape Ecology
September 2012 - June 2015
Czech University of Life Sciences Prague
Field of study
  • Landscape Management
September 2009 - August 2012
Technical University of Liberec
Field of study
  • Applied Geography

Publications

Publications (11)
Article
Mining is an important human activity that significantly affects the landscape character, particularly through excavation of spoil material and its deposition on spoil banks. The information on terrain or vegetation cover of spoil banks is often required for two different reasons: (i) to monitor and prevent adverse effect of hazards associated with...
Article
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 point clouds filtering and vertical accuracy were evaluated qualitatively, quantitatively and by comparison with a GNSS survey. All tested algorithms achieved good...
Article
Most ground filtering algorithms are primarily designed for airborne LiDAR point cloud processing and their successful use in identifying ground points from photogrammetric point clouds remains questionable. We compared six ground filtering algorithms implemented in Metashape, ArcGIS, CloudCompare, LAStools, and PDAL. We used UAV photogrammetry-bas...
Article
Full-text available
Airborne laser scanning (ALS) is increasingly used for detailed vegetation structure mapping; however, there are many local-scale applications where it is economically ineffective or unfeasible from the temporal perspective. Unmanned aerial vehicles (UAVs) or airborne imagery (AImg) appear to be promising alternatives, but only a few studies have e...
Article
Full-text available
With the ever-improving advances in computer vision and Earth observation capabilities, Unmanned Aerial Vehicles (UAVs) allow extensive forest inventory and the description of stand structure indirectly. We performed several flights with different UAVs and popular sensors over two sites with coniferous forests of various ages and flight levels usin...
Preprint
Full-text available
With the ever-improving Earth observation capabilities, variables such as tree health status, biomass storage, or stand structure are increasingly estimated through remote sensing. While many protocols of data acquisition and satellite data processing are in place, the still novel unmanned aerial vehicles (UAVs) face some challenges during data acq...
Poster
Full-text available
The bark beetle disturbance represents serious environmental and economic issue and presents a major challenge for the forest management. A timely detection of bark beetle infestation is therefore necessary to reduce losses. Besides wood production, a bark beetle outbreak affects the forest ecosystem functioning in many other ways including e.g. wa...
Conference Paper
Full-text available
Point cloud data constitute an important source for assessment of the 3D structure of the environment and are often used in geomorphology, hydrology, ecology and forestry, and other fields. Although airborne laser scanning (ALS) is a major source of such point clouds, photogrammetry in combination with UAV platforms equipped with consumer grade cam...
Research
Full-text available
NOTE: FOR READING, PLEASE DOWNLOAD THE FULL-TEXT BECAUSE THE ONLINE PREVIEW IS UNABLE TO DISPLAY FIGURES AND CHARTS. ABSTRACT: The project focuses on the development of methods for the assessment of areal contamination of surface water from erosion washes by GIS, DPZ tools and UAV technology with multispectral and thermal imaging sensors. Goal of...
Article
Full-text available
Topography usually plays an important role for yield variability assessment. This study provides insight into the use of surface models from different sources for agriculture purposes: unmanned aerial vehicle imagery, LiDAR data and elevation data acquired from a harvester. The dataset from an aerial vehicle was obtained in the form of ortho-mosaic...
Poster
Full-text available
Remote sensing is today a dynamically developing field. Possibilities for use of remote sensing are increasing continuously. Due to rapid development in remote sensing, there remain shortcomings in the practical use of modern remote sensing methods in ecology and environmental protection. The crux of this project is to demonstrate on the basis of s...

Network

Cited By

Projects

Projects (3)
Project
The project proposal is focused on the implementation of selected innovative measures in the pilot area of the Amálie. The measures implemented by the project are being developed within the Smart Landscape concept developed at the Czech University of Life Sciences Prague. The measures are aimed at supporting existing ecosystems and the development of biodiversity in the cultural landscape, negatively affected not only by agricultural but also by anthropogenic activities in general. In particular, it is a set of measures aimed at minimizing the erosion of agricultural land, water resources management taking into account climate change, support for the representation of trees in agricultural land as landscape elements (promoting non-production functions), concurrent tree cultivation, and agriculture in agroforestry systems (supporting tree production functions), improvement adaptation of the agricultural landscape to climate change, increasing biodiversity in agroecosystems, support for wetland ecosystems and floodplain biodiversity. Special attention is paid to measures on drainage systems to minimize their negative impacts on the deterioration of ecosystems and the loss of biodiversity. The submitted project expands the currently implemented innovative measures in Amalia pilot farm, intending to support their transferability in the conditions of the Czech Republic and more widely within the European landscape. 
Project
Bark beetles constitute one of the most common causes of forest disturbances in central Europe. In recent years, and due to changing the climate, the number of forest calamities has been increasing. These present serious difficulties and future challenges for forest management. The spatial distribution and dynamics of these calamities have not been sufficiently described. Protected forest areas play an important role in understanding bark beetles’ spread. Remote sensing is an appropriate and effective noninvasive research technique. The spectral reflectance of a tree changes within a few days after infestation, and that change is detectable by multi-spectral sensors. Due to their very high spatial resolution, unmanned aerial systems can be used for detection even at the individual trees level. The knowledge and study results thus obtained could be used for preventive modelling of bark beetles’ spread and to prevent damage to forests.
Project
The project’s overriding objective is to prepare by way of sub-projects a methodology for using remote sensing in analyzing ecological measures in agriculture and in urbanized areas: 1) Comparing the accuracy of results from remote sensing using various data inputs in a case study of green roofs (satellites/UAV data); 2) Satellite microclimate monitoring (temperature and humidity measure) of various urban areas with a focus on evaluating the influence of green roofs on surrounding microclimate; and 3) Evaluation of humidity and temperature measures in fields with ecological and conventional agriculture using satellite systems.