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Modelling and accessing land degradation vulnerability using remote sensing techniques and the analytical hierarchy process approach
Land degradation and desertification have recently become a critical problem in Ethiopia.
Accordingly, identification of land degradation vulnerable zonation and map** was …
Accordingly, identification of land degradation vulnerable zonation and map** was …
Understanding land degradation induced by gully erosion from the perspective of different geoenvironmental factors
Complex interrelationships between landscape-level geoenvironmental factors and natural
phenomena have rendered land degradation control measures ineffective. For control to be …
phenomena have rendered land degradation control measures ineffective. For control to be …
[HTML][HTML] Spatial variability of soil water erosion: Comparing empirical and intelligent techniques
Soil water erosion (SWE) is an important global hazard that affects food availability through
soil degradation, a reduction in crop yield, and agricultural land abandonment. A map of soil …
soil degradation, a reduction in crop yield, and agricultural land abandonment. A map of soil …
[HTML][HTML] Land degradation vulnerability map** in a newly-reclaimed desert oasis in a hyper-arid agro-ecosystem using AHP and geospatial techniques
Modelling land degradation vulnerability (LDV) in the newly-reclaimed desert oases is a key
factor for sustainable agricultural production. In the present work, a trial for using remote …
factor for sustainable agricultural production. In the present work, a trial for using remote …
Modeling and assessment of land degradation vulnerability in arid ecosystem of Rajasthan using analytical hierarchy process and geospatial techniques
Wind erosion is a major natural disaster worldwide, and it is a key problem in western
Rajasthan in India. The Analytical Hierarchy Process (AHP), the Geographic Information …
Rajasthan in India. The Analytical Hierarchy Process (AHP), the Geographic Information …
Flood susceptibility modeling in the urban watershed of Guwahati using improved metaheuristic-based ensemble machine learning algorithms
The urban watershed of Guwahati is a highly flood-prone region and the fastest growing city
situated on the bank of the Brahmaputra River. Therefore, this study aims to the urban flood …
situated on the bank of the Brahmaputra River. Therefore, this study aims to the urban flood …
Map** land degradation risk due to land susceptibility to dust emission and water erosion
Land degradation is a cause of many social, economic, and environmental problems.
Therefore identification and monitoring of high-risk areas for land degradation are …
Therefore identification and monitoring of high-risk areas for land degradation are …
Vegetation vulnerability to hydrometeorological stresses in water-scarce areas using machine learning and remote sensing techniques
The quantitative understanding of vegetation vulnerability as a major example of terrestrial
ecosystems under hydrometeorological stress is essential for environmental risk …
ecosystems under hydrometeorological stress is essential for environmental risk …
[HTML][HTML] Multi-Indicator and geospatial based approaches for assessing variation of land quality in arid agroecosystems
Novel spatial models for appraising arable land resources using data processing techniques
can increase insight into agroecosystem services. Hence, the principal component analysis …
can increase insight into agroecosystem services. Hence, the principal component analysis …
Land degradation assessment using AHP and GIS-based modelling in Duhok District, Kurdistan Region, Iraq
Land degradation is a complex process and significant environmental problem affected by
both natural and anthropogenic driving factors. Globally, the prevention of land degradation …
both natural and anthropogenic driving factors. Globally, the prevention of land degradation …