Statistical landslide susceptibility mapping (LSM) models have been most widely used in
literatures. However, limitations and uncertainties remain in these methods. The main goal …

Abstract Soil Erosion Susceptibility Mapping (SESM) is one of the practical approaches for
managing and mitigating soil erosion. This study applied four Machine Learning (ML) …

Landslides have been a regular occurrence and an alarming threat to human life and
property in the era of anthropogenic global warming. An early prediction of landslide …

Susceptibility based on different landslide types has rarely been assessed. Therefore, this
paper aims to compare the prediction performance of hybrid approaches by combining the …

Landslide is a devastating natural disaster, causing loss of life and property. It is likely to
occur more frequently due to increasing urbanization, deforestation, and climate change …

Flash flood is the most recurrent natural threat in northeastern India, especially during the
peak of the monsoon season. In recent decades, the frequency of flash floods has …

Data Mining is the process of finding knowledge through the processing of massive amounts
of data from different viewpoints and combining them into valuable information; data mining …

Landslide disasters with dense vegetation and steep terrain, and high concealment
frequently occur in Southwest China. Current field surveys, unmanned aerial vehicle (UAV) …

Geospatial analysis is a powerful tool for assessing landslide frequency distribution and
hazard potential zones along road alignment in North Sikkim Himalayas, India. The thematic …

Decision-makers have consistently developed a range of classification models, each
possessing unique features within the domain of intelligent models. These endeavors are all …