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Visual Exposure of Rock Outcrops in the Context of a Forest Disease Outbreak Simulation Based on a Canopy Height Model and Spectral Information Acquired by an Unmanned Aerial Vehicle

Bibliographic Data

ID22032969
AuthorsMarie Balková (0000-0003-4796-4491, Mendel University in Brno, corresponding author), Aleš Bajer (0000-0001-6809-3723, Mendel University in Brno), Zdeněk Patočka (0000-0002-0950-7700, Mendel University in Brno), Tomáš Mikita (0000-0002-4013-8923, Mendel University in Brno)
Year2020
Volume9
Issue5
Pages325
Publication date2020-05-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi9050325
OpenAlexW3025069799
LanguageEN
Citations received2
References cited33

This research was focused on the study of visual exposure evolution in the locality of the Drátenická skála nature monument (in the Czech Republic) and the surrounding forest complex in terms of history and through modelling for further possible stand development. The local forests underwent conversion from a natural fir-beech composition to an intensive spruce monoculture with few insect pests or windbreak events to an actual bark beetle infestation. Historic maps, landscape paintings, photographs, and orthophotos served as the basic materials for the illustration of the past situation. Further development was modelled using canopy height models and spectral properties captured by unmanned aerial vehicles (UAVs). As an example, the possible situation of total mortality among coniferous spruce trees after a bark beetle outbreak was modelled. Other options and a practical use of such preprocessed data are, for example, a model for opening and transforming the stands around the rock as one of the ongoing outcrop management trends in the protected landscape area (PLA) of Žďárské vrchy

Aerial image · Aerial photography · Archaeology · Bark beetle · Biology · Canopy · Deciduous · Geography · Remote sensing · Computer Science · Environmental Science · Forest Ecology and Biodiversity Studies · Forest Insect Ecology and Management · Remote Sensing and LiDAR Applications · Ecology · Forestry

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Unique citing works2
Citations per year0.33
Citation span2020 - 2023 (4)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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Open DOIOpen Access
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