Performance assessment of the landslide susceptibility modelling using the support vector machine, radial basis function network, and weight of evidence models in …

HA Naceur, HG Abdo, B Igmoullan, M Namous… - Geoscience Letters, 2022 - Springer
Landslides in mountainous areas are one of the most important natural hazards and
potentially cause severe damage and loss of human life. In order to reduce this damage, it is …

An integrated approach based landslide susceptibility mapping: case of Muzaffarabad region, Pakistan

M Basharat, JA Khan, HG Abdo… - … , Natural Hazards and …, 2023 - Taylor & Francis
Landslides result in the devastation of property and loss of lives. This study assesses
landslide susceptibility by employing geographic information systems (GIS) and machine …

Spatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility mapping in Al-Balouta river basin, Tartous …

HG Abdo, H Almohamad, AA Al Dughairi, SA Ali… - Geoscience Letters, 2022 - Springer
Landslide vulnerability prediction maps are among the most important tools for managing
natural hazards associated with slope stability in river basins that affect ecosystems …

[HTML][HTML] Identifying and Monitoring Gardens in Urban Areas Using Aerial and Satellite Imagery

F Arabi Aliabad, H Ghafarian Malamiri, A Sarsangi… - Remote Sensing, 2023 - mdpi.com
In dry regions, gardens and trees within the urban space are of considerable significance.
These gardens are facing harsh weather conditions and environmental stresses; on the …

From Tradition to Smart: A Comprehensive Review of the Evolution and Prospects of Land Use Planning Tools

Y Liu, WT de Vries, G Zhang, X Cui - Heliyon, 2024 - cell.com
Land use planning tools are essential for effective land management. However, existing
research has not thoroughly explored the evolution and future potential of these tools. This …

Dynamics and future prediction of LULC on Pare River basin of Arunachal Pradesh using machine learning techniques

S Mandal, A Bandyopadhyay, A Bhadra - Environmental Monitoring and …, 2023 - Springer
Anthropogenic disturbances caused by increasing population densities are a significant
concern as they accelerate climate change. Thus, regular monitoring of land use/land cover …

Support vector machine-based spatiotemporal land use land cover change analysis in a complex urban and rural landscape of Akaki river catchment, a Suburb of …

H Tamirat, M Argaw, M Tekalign - Heliyon, 2023 - cell.com
Intense level of land use land cover (LULC) changes has been observed in Sub-Saharan
Africa, particularly in the central highlands of Ethiopia, due to rapid population growth and …

Integration of Sentinel-1 and Sentinel-2 Data for Ground Truth Sample Migration for Multi-Temporal Land Cover Mapping

M Moharrami, S Attarchi, R Gloaguen, SK Alavipanah - Remote Sensing, 2024 - mdpi.com
Reliable and up-to-date training reference samples are imperative for land cover (LC)
classification. However, such training datasets are not always available in practice. The …

Vulnerability assessment of road networks to landslide hazards in a dry-mountainous region

S Yousefi, A Jaafari, A Valjarević, C Gomez… - Environmental Earth …, 2022 - Springer
Landslides are natural hazards that can cause catastrophic life losses and damage to
infrastructures and communities. In Iran, landslide exposure has been predominantly …

Land cover multiclass classification of wonosobo, Indonesia with time series-based one-dimensional deep learning model

DB Sencaki, MN Putri, BH Santosa, S Arfah… - Remote Sensing …, 2023 - Elsevier
Mapping accurate land cover is critical to support authorities in producing a better land
management policy, particularly in Wonosobo, which suffers from increased erosion and …