Počet záznamů: 1
Applications of Small Unmanned Aircraft Systems: Best Practices and Case Studies
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SYSNO ASEP 0521867 Druh ASEP M - Kapitola v monografii Zařazení RIV C - Kapitola v knize Název UAS for Nature Conservation - Monitoring Invasive Species Tvůrce(i) Müllerová, Jana (BU-J) RID, ORCID Zdroj.dok. Applications of Small Unmanned Aircraft Systems: Best Practices and Case Studies. - Boca Raton : CRC Press, 2019 / Sharma J. B. - ISBN 978-0-367-19924-1 Rozsah stran s. 157-178 Poč.str. 22 s. Poč.str.knihy 290 Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova unmanned aircraft ; plant invasion ; detection Vědní obor RIV EF - Botanika Obor OECD Biodiversity conservation CEP LTC18007 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy Institucionální podpora BU-J - RVO:67985939 DOI 10.1201/9780429244117 Anotace Invasive plants represent a serious threat to biodiversity, landscapes, and human health, and have striking socioeconomic consequences. They spread rapidly, and eradication measures in later stages of invasion are problematic. To fight invasions successfully, repeatable and efficient remote sensing methods based on timely monitoring are needed. However, the data resolution, cost, availability, and detection accuracy can be limiting. The seasonal dynamics and spectral characteristics of target invasive species are important, and mapping strategy therefore must reflect the morphological and structural features of the plant, and choose optimal data spatial, spectral, and temporal resolution to find the balance between precision and economic feasibility. UAS with high flexibility and low costs represents an ideal mean to explore the effect of phenology on the detection process. Comparison to the VHR satellite imagery with lower spatial and temporal but higher spectral resolution enables the study of trade-offs between the three components of resolution that can partly compensate for each other. UAS imagery helps to make eradication efforts precise, fast, and efficient, and can serve as a basis for prediction, monitoring, and management prioritization. Pracoviště Botanický ústav Kontakt Martina Bartošová, martina.bartosova@ibot.cas.cz, ibot@ibot.cas.cz, Tel.: 271 015 242 ; Marie Jakšová, marie.jaksova@ibot.cas.cz, Tel.: 384 721 156-8 Rok sběru 2020 Elektronická adresa http://hdl.handle.net/11104/0306420
Počet záznamů: 1