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Using Single- and Multi-Date UAV and Satellite Imagery to Accurately Monitor Invasive Knotweed Species
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SYSNO ASEP 0495294 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Using Single- and Multi-Date UAV and Satellite Imagery to Accurately Monitor Invasive Knotweed Species Author(s) Martin, F.-M. (FR)
Müllerová, Jana (BU-J) RID, ORCID
Borgniet, L. (FR)
Dommanget, F. (FR)
Breton, V. (FR)
Evette, A. (FR)Article number 1662 Source Title Remote Sensing. - : MDPI
Roč. 10, č. 10 (2018), s. 1-15Number of pages 15 s. Language eng - English Country CH - Switzerland Keywords invasive plant management ; spatial dynamics monitoring ; Unmanned Aerial Vehicle Subject RIV EH - Ecology, Behaviour OECD category Biodiversity conservation R&D Projects LTC18007 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) 8J18FR021 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Institutional support BU-J - RVO:67985939 UT WOS 000448555800162 EID SCOPUS 85055421255 DOI 10.3390/rs10101662 Annotation We assessed the potential of several single- and multi-date indices derived from satellite and UAV imagery for the detection and mapping of the problematic knotweeds (Fallopia japonica, Fallopia x bohemica) in two different landscapes (i.e., open vs. highly heterogeneous areas). The idea was to develop a simple classification procedure, usable in various contexts and requiring little training to be used by non-experts. We also rationalized errors of omission by applying simple buffer boundaries around knotweed predictions to know if heterogeneity across multi-date images could lead to unfairly harsh accuracy assessment and, therefore, ill-advised decisions. Although our crisp satellite results were rather average, our UAV classifications achieved high detection accuracies. Additionally, the buffer boundary results showed detection rates often exceeding 90–95% for both satellite and UAV images, suggesting that classical accuracy assessments were overly conservative. Workplace Institute of Botany Contact 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 Year of Publishing 2019
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