A5050597521- Species Distribution and Climate Change
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Wildlife Ecology and Conservation
- Ecology and Vegetation Dynamics Studies
- Land Use and Ecosystem Services
- 3D Surveying and Cultural Heritage
- Genetic diversity and population structure
- Forest ecology and management
- Plant and animal studies
- Data Analysis with R
- Avian ecology and behavior
- Color perception and design
- Cryospheric studies and observations
- Color Science and Applications
- Geochemistry and Geologic Mapping
- Aquatic Invertebrate Ecology and Behavior
- Ecosystem dynamics and resilience
- Archaeological Research and Protection
- Forest Management and Policy
- Statistical Mechanics and Entropy
- Identification and Quantification in Food
- Animal Vocal Communication and Behavior
- Wildlife-Road Interactions and Conservation
- Soil Geostatistics and Mapping
Czech University of Life Sciences Prague
2015-2024
Charles University
2020-2024
Czech Academy of Sciences, Institute of Botany
2022-2024
Czech Academy of Sciences
2022
The "Height Variation Hypothesis" is an indirect approach used to estimate forest biodiversity through remote sensing data, stating that greater tree height heterogeneity (HH) measured by CHM LiDAR data indicates higher structure complexity and species diversity. This has traditionally been analyzed using only airborne which limits its application the availability of dedicated flight campaigns. In this study we relationship between diversity HH, calculated with four different indices two...
Twenty years ago, the Spectral Variation Hypothesis (SVH) was formulated as a means to link between different aspects of biodiversity and spatial patterns spectral data (e.g. reflectance) measured from optical remote sensing. This hypothesis initially assumed positive correlation variations computed raster in environment, which would turn correlate with species richness: following SVH, areas characterized by high heterogeneity (SH) should be related higher number available ecological niches,...
Ecosystem heterogeneity has been widely recognized as a key ecological indicator of several functions, diversity patterns and change, metapopulation dynamics, population connectivity or gene flow.In this paper, we present new R package-rasterdiv-to calculate indices based on remotely sensed data. We also provide an application at the landscape scale demonstrate its power in revealing potentially hidden patterns.The rasterdiv package allows calculating multiple indices, robustly rooted...
Abstract Ecosystem structure, especially vertical vegetation is one of the six essential biodiversity variable classes and an important aspect habitat heterogeneity, affecting species distributions diversity by providing shelter, foraging, nesting sites. Point clouds from airborne laser scanning (ALS) can be used to derive such detailed information on structure. However, public agencies usually only provide digital elevation models, which do not Calculating structure variables ALS point...
Species distribution models (SDMs) have proven valuable in filling gaps our knowledge of species occurrences. However, despite their broad applicability, SDMs exhibit critical shortcomings due to limitations occurrence data. These include, particular, issues related sample size, positional uncertainty, and sampling bias. In addition, it is widely recognised that the quality as well approaches used mitigate impact aforementioned data depend on ecology. While numerous studies evaluated effects...
Most ground filtering algorithms are primarily designed for airborne LiDAR point cloud processing and their successful use in identifying points from photogrammetric clouds remains questionable. We compared six implemented Metashape, ArcGIS, CloudCompare, LAStools, PDAL. used UAV photogrammetry-based (acquired under leaf-off conditions) (leaf-on) of the same area to: (i) compare accuracy generated DTMs; (ii) evaluate effect vegetation density terrain slope on accuracy; (iii) assess which...
Several global digital elevation models (DEMs) have been developed in the last two decades. The most recent addition to family of DEMs is TanDEM-X DEM. original version DEM is, however, a nonedited product (i.e., it contains local artefacts such as voids, spikes, and holes). Therefore, subsequent identification their editing necessary. In this study, we evaluated accuracy its improved edited version, Copernicus DEM, three major European mountain ranges (the Alps, Carpathians, Pyrenees) using...
We develop a novel approach to analysing decarbonisation strategies by linking global resource inventories with demographic systems. Our 'mine-town systems' establishes an empirical basis for examining the spatial extent of transition and effects changing energy The research highlights urgent need targeted macro-level planning as markets see decline in thermal coal ramp up other mining commodities. findings suggest that ramping metals (ETM) could be more disruptive systems than down coal....
The abundance and diversity of plants insects are important indicators biodiversity, overall ecosystem health agricultural production. Bees in particular interesting as they provide a key service many crops. Worldwide, habitat loss fragmentation, intensification climate change drivers plant bee decline. Monitoring bees is crucial first step to safeguard their the services but traditional situ methods time consuming expensive. Remote sensing Earth observation have advantages that can cover...
Abstract The ecosystem services offered by pollinators are vital for supporting agriculture and functioning, with bees standing out as especially valuable contributors among these insects. Threats such habitat fragmentation, intensive agriculture, climate change contributing to the decline of natural bee populations. Remote sensing could be a useful tool identify sites high diversity before investing into more expensive field survey. In this study, ability Unoccupied Aerial Vehicles (UAV)...
Biodiversity monitoring is constrained by cost- and labour-intensive field sampling methods. Increasing evidence suggests that remotely sensed spectral diversity (SD) linked to plant diversity, holding promise for applications. However, studies testing such a relationship reported conflicting findings, especially in challenging ecosystems as grasslands, due their variety high temporal dynamism. It follows thorough investigation of the key factors influencing these relationships, metrics...
Management of restored areas requires ecologically meaningful spatial data providing objective measures restoration success. Understanding relationships between species diversity on the one hand and habitat heterogeneity productivity other can help establish such prioritize management. We used airborne LiDAR hyperspectral to derive characteristics vegetation structure, primary senescent (i.e. old dead vegetation) for prediction richness rarity bird communities colonizing newly available...