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AuthorZahraa, Al-Ali
AuthorAbulibdeh, Ammar
AuthorAl-Awadhi, Talal
AuthorMohan, Midhun
AuthorAl Nasiri, Noura
AuthorAl-Barwani, Mohammed
AuthorAl Nabbi, Sara
AuthorAbdullah, Meshal
Available date2024-06-02T06:34:15Z
Publication Date2024-05-07
Publication NameInternational Journal of Applied Earth Observation and Geoinformation
Identifierhttp://dx.doi.org/10.1016/j.jag.2024.103887
CitationAl-Ali, Z., Abulibdeh, A., Al-Awadhi, T., Mohan, M., Al Nasiri, N., Al-Barwani, M., ... & Abdullah, M. (2024). Examining the potential and effectiveness of water indices using multispectral sentinel-2 data to detect soil moisture as an indicator of mudflow occurrence in arid regions. International Journal of Applied Earth Observation and Geoinformation, 130, 103887.
ISSN1569-8432
URIhttps://www.sciencedirect.com/science/article/pii/S1569843224002413
URIhttp://hdl.handle.net/10576/55709
AbstractThis study aims to evaluate the performance and effectiveness of six spectral water indices - derived from Multispectral sentinel-2 data - to detect soil moisture and inundated area in arid regions to be used as an indicator of mudflow phenomena to predict high-risk areas. Herein, the validation of the performance of spectral indices was conducted using threshold method, spectral curve performance, and soil-line method. These indirect validation techniques play a key role in saving time, effort, and cost, particularly for large-scale and inaccessible areas. It was observed that the Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (mNDWI), and RSWIR indices have the potential to detect soil moisture and inundated areas in arid regions. According to the temporal spectral curve performance, the spectral characteristics of water and soil moisture were distinct in the Near infrared (NIR) and Short-wave Infrared (SWIR1,2) bands. However, the rate and degree differed between these bands, depending on the amount of water in the soil. Furthermore, the soil line method supported the appropriate selection of threshold values to detect soil moisture. However, the threshold values varied with location, time, season, and between indices. We concluded that considering the factors influencing the behavior of water and soil reflectivity could support decision-makers in identifying high-risk mudflow locations.
Languageen
PublisherElsevier
SubjectSpectral reflectance curve
Soil-line method
Spectral indices
Flood
Shaheen cyclone
TitleExamining the potential and effectiveness of water indices using multispectral sentinel-2 data to detect soil moisture as an indicator of mudflow occurrence in arid regions
TypeArticle
Volume Number130
Open Access user License http://creativecommons.org/licenses/by/4.0/
ESSN1872-826X
dc.accessType Open Access


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