Soil salinity and vegetation cover change detection from multi-temporal remotely sensed imagery in Al Hassa Oasis in Saudi Arabia

被引：37
作者：
Allbed, Amal [1 ,2 ]
Kumar, Lalit [1 ]
Sinha, Priyakant [1 ]
机构：
[1] Univ New England, Sch Environm & Rural Sci, Ecosyst Management, Armidale, NSW, Australia
[2] Umm Al Qura Univ, Dept Geog, Mecca, Saudi Arabia
来源：
GEOCARTO INTERNATIONAL | 2018年 / 33卷 / 08期
关键词：
Soil salinity; vegetation cover; differencing image; change detection; Al Hassa Oasis; PHOENIX-DACTYLIFERA L; RADIOMETRIC NORMALIZATION; ELECTRICAL-CONDUCTIVITY; IRRIGATION; GROWTH; WATER; CLASSIFICATION; EVAPOTRANSPIRATION; CALIBRATION; DRAINAGE;
D O I：
10.1080/10106049.2017.1303090
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
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 28years 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.
引用
收藏
页码：830 / 846
页数：17
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