Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/23069
Title: Soil salinity and vegetation cover change detection from multi-temporal remotely sensed imagery in Al Hassa Oasis in Saudi Arabia
Contributor(s): Allbed, Amal (author); Kumar, Lalit  (author)orcid ; Sinha, Priyakant  (author)
Publication Date: 2018
DOI: 10.1080/10106049.2017.1303090
Handle Link: https://hdl.handle.net/1959.11/23069
Abstract: Detecting soil salinity changes and its impact on vegetation cover are necessary to understand the relationships between these changes in vegetation cover. This study aims to determine the changes in soil salinity and vegetation cover in Al Hassa Oasis over the past 28 years and investigates whether the salinity change causing the change in vegetation cover. Landsat time series data of years 1985, 2000 and 2013 were used to generate Normalized Difference Vegetation Index (NDVI) and Soil Salinity Index (SI) images, which were then used in image differencing to identify vegetation and salinity change/no-change for two periods. Soil salinity during 2000–2013 exhibits much higher increase compared to 1985–2000, while the vegetation cover declined to 6.31% for the same period. Additionally, highly significant (p < 0.0001) negative relationships found between the NDVI and SI differencing images, confirmed the potential long-term linkage between the changes in soil salinity and vegetation cover.
Publication Type: Journal Article
Source of Publication: Geocarto International, 33(8), p. 830-846
Publisher: Taylor & Francis
Place of Publication: United Kingdom
ISSN: 1752-0762
1010-6049
Field of Research (FOR): 090905 Photogrammetry and Remote Sensing
050302 Land Capability and Soil Degradation
090903 Geospatial Information Systems
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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Appears in Collections:Journal Article
School of Environmental and Rural Science
School of Science and Technology

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