This study aims to capture groundwater potential zones integrating deep neural network and
groundwater influencing factors. The present work was carried out for Gopi khola watershed …

Soil erosion trend depends on effective land use and land cover dynamics since
overwhelming population growth in tropical region. The objective of this paper is to assess …

The frequency of landslides and their magnitude are increasing worldwide due to global
climate change, causing damage to people and infrastructure. Therefore, landslide risk …

In this work, we explored a novel approach to integrate both geo-environmental and soil
geomechanical parameters in a landslide susceptibility model. A total of 179 shallow to …

In this study, a new ensemble method was developed to assess landslide hazard models in
Mt. Umyeon, South Korea, using the results of a physically based model as a conditioning …

The implementation of effective landslide mitigation strategies relies heavily on the
availability of accurate and reliable landslide susceptibility map. This study focuses on the …

Identifying the vulnerability level of an area to soil erosion, particularly gully erosion, is key to
the development of an efficient management strategy for policymakers. While efforts into …

The main purpose of this study is to comparatively assess the susceptibility of earthquake-
triggered landslides in the island of Lefkada (Ionian Islands, Greece) using two different …

Nowadays, several landslide susceptibility (LS) models are available, with each one having
its advantages and disadvantages. In this study, a model combination is proposed including …

Understanding the biophysical limitations on forest carbon across diverse ecological regions
is crucial for accurately assessing and managing forest carbon stocks. This study …