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AuthorAbdullah, Meshal M.
AuthorAl-Ali, Zahraa M.
AuthorBlanton, Austin
AuthorCharabi, Yassine
AuthorAbulibdeh, Ammar
AuthorAl-Awadhi, Talal
AuthorSrinivasan, Shruthi
AuthorFadda, Eyad
AuthorMohan, Midhun
Available date2024-06-02T07:43:33Z
Publication Date2024-04-10
Publication NameFrontiers in Environmental Science
Identifierhttp://dx.doi.org/10.3389/fenvs.2024.1366712
CitationAbdullah, M. M., Al-Ali, Z. M., Blanton, A., Charabi, Y., Abulibdeh, A., Al-Awadhi, T., ... & Mohan, M. (2024). UAVs for improving seasonal vegetation assessment in arid environments. Frontiers in Environmental Science, 12, 1366712.
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85191168418&origin=inward
URIhttp://hdl.handle.net/10576/55718
AbstractIn the last few decades, revegetation strategies for ecosystem restoration have received great attention in dryland studies, especially those related to the restoration and revegetation of native desert plants to combat land degradation. Long-term monitoring and assessment are critical for the restoration programs to track the progress of the restoration program goals. The effectiveness and success of monitoring depend on the selected methods with respect to spatial and temporal scales. Traditional methods for vegetation monitoring are time-consuming, expensive, and require considerable labor efforts (manpower) in terms of field measurements, collecting samples, lab analysis, and the difficulty of accessing some study areas. Thus, satellite remote sensing images have been widely used to monitor land degradation and restoration programs using multispectral and hyperspectral sensors and indices such as NDVI, which is the most popular index for vegetation monitoring. However, such techniques showed many limitations when used in arid ecosystems, especially for seasonal vegetation assessments, which could mislead the monitoring and assessment of the restoration projects. This paper discusses lessons learned from previous research work, including the limitations of using satellite remote sensing in arid ecosystems and the use of UAV methods to overcome these issues and challenges to provide more accurate outcomes for seasonal assessment of vegetation in arid landscapes.
SponsorThis publication was funded by the Internal Grant Award No. IG/ART/GEOG/23/01 from Sultan Qaboos University of Oman, entitled \u201CManaging Ecosystem Services and Natural Resources for Water and Food Resilience in a Changing Climate\u201D. High Impact Grant (HIG) award (211) from Qatar University.
Languageen
PublisherFrontiers Media SA
Subjectarid ecosystems
ecological monitoring and assessment
multispectral sensors
revegetation and restoration
unmanned aerial vehicles
TitleUAVs for improving seasonal vegetation assessment in arid environments
TypeArticle
Volume Number12
ESSN2296-665X
dc.accessType Open Access


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