Gully erosion is a widespread environmental danger, threatening global socio-economic
stability and sustainable development. This study comprehensively applied seven machine …

Groundwater is an essential source of water especially in arid and semi-arid regions of the
world. The demand for water due to exponential increase in population has created stresses …

Accurate wildfire severity map** (WSM) is crucial in environmental damage assessment
and recovery strategies. Machine learning (ML) and remote sensing technologies are …

Evaluating the linkage between soil erosion and sediment connectivity for export
assessment in different landscape patterns at catchment scale is valuable for optimization of …

The present study investigates the effectiveness of various landslide susceptibility machine
learning (ML) models at multiple spatial resolutions. Using various conditioning factors …

Landslides in the Nainital district of Uttarakhand, India, pose a significant threat to human
communities and local ecosystems. This study aims to improve landslide susceptibility …

Abstract The United Nations Climate Change Conference (COP26) recommended that the
member nations enhance their technological progression and structural transformation to …

Soil erosion is considered one of the most prevalent natural hazards in semiarid regions,
leading to the instability of ecosystems and human life. The main purpose of this research …

Traditional methods for detecting soil nutrient content usually involve laborious and time-
consuming experimental procedures, hindering the efficiency of soil analysis and making …

Persistent soil erosion poses a significant threat to water quality, ecosystem viability and soil
health in many regions of the world. Addressing this challenge requires a comprehensive …