Integration of GIS-MCDA and machine learning for landslide susceptibility mapping to support sustainable land use planning: a case study of Korbous, Tunisia

Landslide Susceptibility Mapping in Nigeria Using Remote Sensing, GIS, and Machine Learning Models

Landslide situations remain a significant concern in Nigeria, as they pose a great risk to human liv

Integrated GIS-Based MCDA and Machine Learning Techniques in Flood Susceptibility Mapping in Ala River Basin, Nigeria

Abstract Flooding is a recognized form of natural disaster that can lead to loss of life,

Utilizing SAR, GIS, and Deep Learning for Flood Susceptibility Mapping: A Case Study of a Flood in Mozambique

This study integrated the geographic information system, SAR data, and two deep learning techniques;

Comparative Analysis Of Machine Learning Algorithms For Land Use And Land Cover Mapping: Case Study Of Berrechid-Settat Region, Morocco

This study analyses the spatiotemporal dynamics of Land Use and Land Cover (LULC) in the Berrechid-S

Modelling of land use land cover changes using machine learning and GIS techniques: a case study in El-Fayoum Governorate, Egypt

Abstract Land use/land cover (LULC) changes can occur naturally or due to human activities. In this

Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio and analytic hierarchy process methods: a case study of Yaounde, Cameroon