Articles | Volume 7, issue 2
https://doi.org/10.5194/se-7-713-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/se-7-713-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Vegetation cover change detection and assessment in arid environment using multi-temporal remote sensing images and ecosystem management approach
Anwar Abdelrahman Aly
Soil Science Dept., King Saud University, Riyadh, Saudi Arabia
Soil and Water Science Dept., Faculty of Agric., Alexandria
University, Alexandria, Egypt
Abdulrasoul Mosa Al-Omran
CORRESPONDING AUTHOR
Soil Science Dept., King Saud University, Riyadh, Saudi Arabia
Abdulazeam Shahwan Sallam
Soil Science Dept., King Saud University, Riyadh, Saudi Arabia
Mohammad Ibrahim Al-Wabel
Soil Science Dept., King Saud University, Riyadh, Saudi Arabia
Mohammad Shayaa Al-Shayaa
Agricultural Extension and Rural Community Dept., King Saud
University, Riyadh, Saudi Arabia
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- Extracting water-related features using reflectance data and principal component analysis of Landsat images B. Balázs et al. 10.1080/02626667.2018.1425802
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- Intellligent sustainable agricultural water practice using multi sensor spatiotemporal evolution M. Haq 10.1080/09593330.2021.2005151
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Latest update: 14 Dec 2024
Short summary
The use of a holistic ecosystem approach for sustainable development of fragile ecosystem of Al-Kharj, Saudi Arabia, was found valuable. A comprehensive analysis of the ecosystem was carried out to determine the complex relationships between agronomic and social dimensions. The major ecosystem change detected by RS was the increase of vegetation cover area between years 1987 and 2000 by 107.4 %; however, it decreased by 27.5 % between 2000 and 2013.
The use of a holistic ecosystem approach for sustainable development of fragile ecosystem of...