Modelling and accessing land degradation vulnerability using remote sensing techniques and the analytical hierarchy process approach

AD Tolche, MA Gurara, QB Pham, DT Anh - Geocarto International, 2022 - Taylor & Francis
Land degradation and desertification have recently become a critical problem in Ethiopia.
Accordingly, identification of land degradation vulnerable zonation and map** was …

Understanding land degradation induced by gully erosion from the perspective of different geoenvironmental factors

A Jaafari, S Janizadeh, HG Abdo… - Journal of …, 2022 - Elsevier
Complex interrelationships between landscape-level geoenvironmental factors and natural
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

A Golkarian, K Khosravi, M Panahi, JJ Clague - Geoscience Frontiers, 2023 - Elsevier
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 …

[HTML][HTML] Land degradation vulnerability map** in a newly-reclaimed desert oasis in a hyper-arid agro-ecosystem using AHP and geospatial techniques

AS Abuzaid, MAE AbdelRahman, ME Fadl, A Scopa - Agronomy, 2021 - mdpi.com
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 …

Modeling and assessment of land degradation vulnerability in arid ecosystem of Rajasthan using analytical hierarchy process and geospatial techniques

B Yadav, LC Malav, R Jiménez-Ballesta, C Kumawat… - Land, 2022 - mdpi.com
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 …

Flood susceptibility modeling in the urban watershed of Guwahati using improved metaheuristic-based ensemble machine learning algorithms

IA Ahmed, S Talukdar, Shahfahad, A Parvez… - Geocarto …, 2022 - Taylor & Francis
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 …

Map** land degradation risk due to land susceptibility to dust emission and water erosion

M Boroughani, F Mirchooli, M Hadavifar, S Fiedler - Soil, 2023 - soil.copernicus.org
Land degradation is a cause of many social, economic, and environmental problems.
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

E Moradi, H Darabi, EH Alamdarloo, M Karimi… - Ecological …, 2023 - Elsevier
The quantitative understanding of vegetation vulnerability as a major example of terrestrial
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

AS Abuzaid, YSA Mazrou, AA El Baroudy, Z Ding… - Sustainability, 2022 - mdpi.com
Novel spatial models for appraising arable land resources using data processing techniques
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

RT Mzuri, YT Mustafa, AA Omar - Geocarto International, 2022 - Taylor & Francis
Land degradation is a complex process and significant environmental problem affected by
both natural and anthropogenic driving factors. Globally, the prevention of land degradation …