Biodiversity, forest condition mapping and forest harvesting monitoring using UAV
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F15%3A00346682" target="_blank" >RIV/68407700:21110/15:00346682 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Biodiversity, forest condition mapping and forest harvesting monitoring using UAV
Original language description
For the monitoring of ecologically valuable areas, terrestrial measurements and precise actual thematic maps are needed. For the creation of this, several methods can be used. In less accessible or inactive areas, remote sensing or aerial methods are suitable. In this paper, UAV or nowadays better known as RPAS (remotely piloted aircraft systems) methods are discussed. The first part is focused on the use of RPAS for national natural reserve (NNR Bozidarske raseliniste) biodiversity mapping and monitoring. This NNR is located in a mountain area on the border of the Czech Republic with the Germany. For vegetation monitoring, it is advantageous to use a camera sensitive in the near infrared range (600-850nm). If you have this, you can take using RPAS hundreds of photos, create an orthophoto and compute the normalized vegetation index (NDVI) by red and near infrared channel separation from orthophotos. NDVI helps classify the vegetation status. The above mentioned small natural national reserve was monitored for two years using RPAS, and several orthophotos using NIR and VIS camera were created. From measurement, thematical maps were created with a resolution 5cm. The second part of this paper discuses the experimental use of RPAS for forest harvest monitoring and forest condition mapping. As a case project, a mountain spruce forest near the NNR was selected with planned forest harvesting. In this locality, small area terrestrial laser scanning and photogrammetry were experimentally used. Results from the joining of data, usability and economics of RPAS in forest management and ecology were discussed in conclusion
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10500 - Earth and related environmental sciences
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia
ISBN
9781510817210
ISSN
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e-ISSN
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Number of pages
1983
Pages from-to
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Publisher name
Asian Association of Remote Sensing (AARS)
Place of publication
Chang Wattana Road, Bangkok
Event location
Manilla
Event date
Oct 24, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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