A5076698648- Remote Sensing in Agriculture
- Leaf Properties and Growth Measurement
- Remote Sensing and LiDAR Applications
- Species Distribution and Climate Change
- Botany and Plant Ecology Studies
- Cryospheric studies and observations
- Remote-Sensing Image Classification
- 3D Modeling in Geospatial Applications
- Forest Insect Ecology and Management
- Tree-ring climate responses
- Climate change and permafrost
- Landslides and related hazards
- Forest Ecology and Biodiversity Studies
- Geochemistry and Geologic Mapping
- Rangeland and Wildlife Management
- Urban Heat Island Mitigation
- Animal Ecology and Behavior Studies
- Financial Literacy, Pension, Retirement Analysis
- Gender, Labor, and Family Dynamics
- Fire effects on ecosystems
- Microtubule and mitosis dynamics
- Law, logistics, and international trade
- Renal cell carcinoma treatment
- Advanced Manufacturing and Logistics Optimization
- Plant Water Relations and Carbon Dynamics
Charles University
2014-2025
Veleučilište Velika Gorica
2020
O2 Czech Republic (Czechia)
2016
Abstract A wide range of portable chlorophyll meters are increasingly being used to measure leaf content as an indicator plant performance, providing reference data for remote sensing studies. We tested the effect anatomy on relationship between optical assessments (Chl) against biochemically determined Chl a reference. Optical included measurements taken by four meters: three transmittance-based (SPAD-502, Dualex-4 Scientific, and MultispeQ 2.0), one fluorescence-based (CCM-300), vegetation...
The aim of this study was to evaluate and compare suitability aerial hyperspectral data (AISA Dual APEX sensors) Sentinel-2A for classification tundra vegetation cover in the Krkonoše Mts. National Park. We compared results (accuracy, maps) pixel-based (Maximum Likelihood, Suport Vector Machine Neural Net) object-based approaches. best (overall accuracy 84.3%, Kappa coefficient = 0.81) were achieved AISA using per-pixel SVM classifier 40 PCA bands. though only 1.7 percentage points lower. To...
Laboratory spectroscopy in visible and infrared regions is an important tool for studies dealing with plant ecophysiology early recognition of stress due to changing environmental conditions. Leaf optical properties are typically acquired a spectroradiometer coupled integration sphere (IS) laboratory or contact probe (CP), which has the advantage operating flexibility provision repetitive in-situ reflectance measurements. Experiments comparing spectra measured different devices device...
This paper presents a snow avalanche hazard map of the most avalanche-prone mountain range in Czech Republic, Krkonoše Mountains. The was prepared using historical records 1132 avalanches which occurred over last 54 years and state-of-the-art modelling propagation spatial distribution potential source areas. provides not only reliable easy to understand information for Mountain Rescue Service Republic tourists, but also land use managers identify areas where new paths may develop under...
The map of lakes and selected glacier-related landforms in Huascarán National Park was created describing their spatial distribution properties related to development. This work presents additional information on previous lake inventories that not available prior its completion despite the fact some newly collected is important for glacial flood hazard assessment. ongoing environmental changes documented national park are affecting number, size, development lakes. Many also filled with...
Leaf traits can be used to elucidate vegetation functional responses global climate change. Pigments, water and leaf mass per area are the most traits. However, detailed anatomical such as thickness, thickness of palisade spongy parenchyma often neglected, although they affect physiological function optical properties. Our aim was produce partial least squares regression (PLSR) models for estimating using biconical reflectance factor (BCRF). We established that estimation properties differs...
Abstract. Time series (TS) analysis has always been an important topic in Remote Sensing (RS). Open access to archives of Earth Observation missions, periodically acquired nation-wide aerial imagery and LiDAR point clouds, various research datasets, together with open tools for TS data processing, have brought new possibilities RS but also challenges education. The become essential part MSc curricula geoinformatics, geography, related fields. learning materials systematically addressing the...
This paper compares suitability of multispectral data with different spatial and spectral resolutions for classifications vegetation above the tree line in Krkonoše Mts. National Park. Two legends were proposed: detailed one twelve classes, simplified legend eight classes. Aerial orthorectified images (orthoimages) very high resolution (12.5 cm) four bands have been examined using object based classification. Satellite WorldView-2 (WV-2) (2 metres) classification per-pixel Per-pixel has...
Abstract. Forests have always been a major concern for public authorities given their significant role as resource timber production, well climate regulation. The infestation of bark beetles poses challenging problem in forests, causing tree mortality, reduced quality, and ecosystem disruption. Multispectral imagery (MS) captured from unmanned aerial vehicles (UAVs) are increasingly employed forest health assessment extensively used to map the mortality caused by beetles. However, its...
Abstract. The study focuses on the determination of chlorophyll content in four prevailing grasses relict arctic-alpine tundra located Krkonoše Mountains National Park, Czech Republic. We compared two methods for leaf (LCC) – spectrophotometric laboratory, and LCC assessed by fluorescence portable meter CCM-300. Relationships were established between LCCs vegetation indices calculated from spectra acquired with contact probe coupled an ASD FieldSpec4 Wide-Res spectroradiometer. Canopy...
Land managers are making concerted efforts to control the spread of invasive plants, a task that demands extensive ecosystem monitoring, for which unoccupied aerial vehicles (UAVs or drones) becoming increasingly popular. The high spatial resolution imagery may positively negatively affect plant species differentiation, as reflectance spectra pixels be highly variable when finely resolved. We assessed this impact on detection Ailanthus altissima (tree heaven) and Elaeagnus umbellata (autumn...
The relict arctic–alpine tundra provides a natural laboratory to study the potential impacts of climate change and anthropogenic disturbance on vegetation. Nardus stricta-dominated grasslands in Krkonoše Mountains have experienced shifting species dynamics over past few decades. Changes cover four competing grasses—Nardus stricta, Calamagrostis villosa, Molinia caerulea, Deschampsia cespitosa—were successfully detected using orthophotos. Leaf functional traits (anatomy/morphology, element...
záření) na dronu DJI Matrice 600 Pro a jejich předzpracováním.Důraz je kladen především geometrické radiometrické korekce.Data jsou pořizována za účelem monitoringu stavu vývoje travních společenstev v oblasti krkonošské tundry.
Abstract. This paper focuses on spectral separability of closed alpine grasslands dominated with Nardus stricta and competitive grasses Calamagrostis villosa Molinia caerulea in the relict arctic-alpine tundra located Krkonoše Mountains National Park, Czech Republic. The data were acquired compared at three levels: spectra a single layer leaves measured ASD FieldSpec4 Wide-Res spectroradiometer coupled contact probe laboratory (leaf level), canopy field same using fiber optic cable pistol...
Abstract. This paper examines the relations between vegetation spectra measured in field along nutrient and elevation gradient most valuable parts of The Krkonoše Mountains tundra selected parameters describing state condition (fAPAR, plant cover average height). main goal was to find indices based on spectral measurements that could be used for evaluation classification practice management. properties were also compared two datasets – one acquired July second August 2015. best correlations...
The physiological status of vegetation and changes thereto can be monitored by means biochemical analysis collected samples as well spectroscopic measurements either on the leaf level, using field (or laboratory) spectroradiometers or canopy applying hyperspectral airborne spaceborne image data. presented study focuses statistical comparison ascertainment relations between three datasets from selected Norway spruce forest stands in Ore Mountains, Czechia. data sets comprise i) photosynthetic...
This paper examines the relations between vegetation spectra measured in field along nutrient and elevation gradient most valuable parts of The Krkonoše Mountains tundra selected parameters describing state condition (fAPAR, plant cover average height). main goal was to find indices based on spectral measurements that could be used for evaluation classification practice management. properties were also compared two datasets – one acquired July second August 2015. best correlations obtained...