Vegetation mapping and monitoring by unmanned aerial systems (UAS) - current state and perspectives
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F23%3A00574368" target="_blank" >RIV/67985939:_____/23:00574368 - isvavai.cz</a>
Alternative codes found
RIV/44555601:13520/23:43897367
Result on the web
<a href="https://www.sciencedirect.com/science/article/abs/pii/B9780323852838000084?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/B9780323852838000084?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/B978-0-323-85283-8.00008-4" target="_blank" >10.1016/B978-0-323-85283-8.00008-4</a>
Alternative languages
Result language
angličtina
Original language name
Vegetation mapping and monitoring by unmanned aerial systems (UAS) - current state and perspectives
Original language description
Over the last years, unmanned aerial systems (UASs) have been receiving much attention, becoming essential tools for characterizing vegetation patterns and processes. Thanks to its ultrahigh spatial resolution and flexibility, UASs bear potential to bridge the gap between field surveys and satellite remote sensing (RS) studies and, to certain extent, replace or complement laborious field work. For natural vegetation, ultrahigh spatial resolution is particularly beneficial for tasks such as biodiversity monitoring, habitat mapping, or measures against ecosystem degradation via invasive species or disturbances. Additionally, the acquisition frequency UASs provide can also be much higher, and this fact can assist in studies of ecosystem functions and services. On top of that, UAS optical data can provide spectral and structural information on ecosystems, substituting expensive active sensors. Last but not least, the availability of UASs at low costs opens new applications in vegetation research and practical management. UASs can thus serve well to derive remote sensingenabled essential biodiversity variables (EBVs), specifically those on species and community composition, ecosystem structure, species traits, and ecosystem functions. UAS can also help to upscale the point or plot field measurements to the landscape scale and overcome limitations imposed by traditional in situ measurements and destructive sampling, one of the challengesin RS applications. The variety of sensors, platforms, and procedures used to collect and process UAS data is vast. To adequately address the research questions with sufficient accuracy, it is necessary to optimize survey workflows and processing methods. In this chapter, we summarize the methods applied to ecosystem assessment and discuss selected studies divided into state, structure, status, and dynamic components. To better illustrate the different workflows, we provide several pilot study cases that offer a wide spectra of challenges in vegetation monitoring. At the end, we introduce challenges and future perspectives related to UAS applications in mapping and monitoring natural vegetation.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10611 - Plant sciences, botany
Result continuities
Project
<a href="/en/project/LTC18007" target="_blank" >LTC18007: UAS approach for monitoring of plant invasions over different spatial and temporal scales</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments
ISBN
978-0-323-85283-8
Number of pages of the result
32
Pages from-to
93-124
Number of pages of the book
346
Publisher name
Elsevier
Place of publication
Amsterodam
UT code for WoS chapter
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