Surface moisture and vegetation cover analysis for drought monitoring in the southern Kruger National Park using Sentinel-1, Sentinel-2, and Landsat-8

dc.citation.doi10.3390/rs10091482en_ZA
dc.contributor.authorUrban, M.
dc.contributor.authorBerger, C.
dc.contributor.authorMudau, T.E.
dc.contributor.authorHeckel, K.
dc.contributor.authorTruckenbrodt, J.
dc.contributor.authorOdipo, V.O.
dc.contributor.authorSmit, I.P.J.
dc.date.accessioned2020-01-15T14:30:43Z
dc.date.available2020-01-15T14:30:43Z
dc.date.issued2018-09
dc.description.abstractDuring the southern summer season of 2015 and 2016, South Africa experienced one of the most severe meteorological droughts since the start of climate recording, due to an exceptionally strong El Niño event. To investigate spatiotemporal dynamics of surface moisture and vegetation structure, data from ESA's Copernicus Sentinel-1/-2 and NASA's Landsat-8 for the period between March 2015 and November 2017were utilized. In combination, these radar and optical satellite systems provide promising data with high spatial and temporal resolution. Sentinel-1 C-band data was exploited to derive surface moisture based on a hyper-temporal co-polarized (vertical-vertical-VV) radar backscatter change detection approach, describing dynamics between dry and wet seasons. Vegetation information from a TLS (Terrestrial Laser Scanner)-derived canopy height model (CHM), as well as the normalized difference vegetation index (NDVI) from Sentinel-2 and Landsat-8, were utilized to analyze vegetation structure types and dynamics with respect to the surface moisture index (SurfMI). Our results indicate that our combined radar-optical approach allows for a separation and retrieval of surface moisture conditions suitable for drought monitoring. Moreover, we conclude that it is crucial for the development of a drought monitoring system for savanna ecosystems to integrate land cover and vegetation information for analyzing surface moisture dynamics derived from Earth observation time series.en_ZA
dc.description.librarianNLB2020en_ZA
dc.facultyFaculty of Scienceen_ZA
dc.funderEuropean Union (EU) Horizon 2020 Research and Innovation Program, Deutscher Akademischer Austauschdienst (DAAD) etc.en_ZA
dc.identifier.citationUrban, M. et al. 2018. Surface moisture and vegetation cover analysis for drought monitoring in the southern Kruger National Park using Sentinel-1, Sentinel-2, and Landsat-8.Remote Sensing 10(9), Article number 1482en_ZA
dc.identifier.issn2072-4292(PRINT)
dc.identifier.issn2072-4292(ONLINE)
dc.identifier.urihttps://hdl.handle.net/10539/28748
dc.journal.issue9en_ZA
dc.journal.titleRemote Sensingen_ZA
dc.journal.volume10en_ZA
dc.language.isoenen_ZA
dc.publisherMDPIen_ZA
dc.rights© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_ZA
dc.subjectSpace-based radaren_ZA
dc.subjectDroughten_ZA
dc.subjectDrought monitoringen_ZA
dc.subjectDynamicsen_ZA
dc.subjectLANDSATen_ZA
dc.subjectEcosystemsen_ZA
dc.subjectSavanna ecosystemsen_ZA
dc.subjectNASAen_ZA
dc.subjectSurface moisturesen_ZA
dc.subjectVegetationen_ZA
dc.titleSurface moisture and vegetation cover analysis for drought monitoring in the southern Kruger National Park using Sentinel-1, Sentinel-2, and Landsat-8en_ZA
dc.typeArticleen_ZA
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