Landslide mapping is the primary step for landslide investigation and prevention. At present,
both the accuracy and the degree of automation of landslide mapping with remote sensing …

Urban Atlas (UA) data covering the large urban areas have been produced by the European
Environment Agency for a variety of European countries including Turkey since 2006. The …

Currently, updating the change detection (CD) of land use/land cover (LU/LC) geospatial
information with high accuracy outcomes is important and very confusing with the different …

In this paper, an inventory of the landslide that occurred in Karahacılı at the end of 2019 was
created and the pre-landslide conditions of the region were evaluated with traditional …

The study presents a GIS-and RS-based diagnostic model to determine the changes in the
existing vegetation in the Urla, Çeşme, and Karaburun peninsulas, Turkey, between 2002 …

This paper proposes a new approach based on an unsupervised deep learning (DL) model
for landslide detection. Recently, supervised DL models using convolutional neural …

This work evaluates the performance of three machine learning (ML) techniques, namely
logistic regression (LGR), linear regression (LR), and support vector machines (SVM), and …

Large earthquakes in mountainous regions often trigger widespread landslides, some of
which remain active for years to decades. This study has evaluated the spatial and temporal …

Among the numerous natural hazards, landslides are one of the greatest, as they can cause
enormous loss of life and property, and affect the natural ecosystem and their services …

We propose a framework that estimates the inundation depth (maximum water level) and
debris-flow-induced topographic deformation from remote sensing imagery by integrating …