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

机译:土壤盐度和植被覆盖沙特阿拉伯Al Hassa Oasis的多时间远程感测图像的变化检测

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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 (p0.0001) 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.
机译:检测土壤盐度变化及其对植被覆盖的影响是必要的,以了解这些变化之间的植被覆盖之间的关系。本研究旨在在过去的28年中确定Al Hassa Oasis中的土壤盐度和植被覆盖的变化,并调查盐度是否导致植被覆盖的变化。 Landsat时间序列数据1985年,2000和2013年用于产生归一化差异植被指数(NDVI)和土壤盐度指数(SI)图像,然后用于图像差异以识别植被和盐度变化/两个期间。 2000 - 2013年的土壤盐度与1985-2000相比表现出更高的增加,而植被覆盖率在同一期间下降至6.31%。另外,在NDVI和SI差异图像之间发现的高度显着(P <0.0001)在差异图像之间发现的负相关,确认了土壤盐度和植被覆盖的变化之间的潜在的长期联动。

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