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A comparative evaluation of statistical and machine learning approaches for debris flow susceptibility zonation map** in the Indian Himalayas
Spatial prediction of debris flows in terms of susceptibility map** is the first and foremost
requirement for disaster mitigation. In the present study, a comparative evaluation of …
requirement for disaster mitigation. In the present study, a comparative evaluation of …
Geospatial assessment and integrated multi-model approach for landslide susceptibility map** in Meghalaya, India
Abstract Landslides in Meghalaya, India, inflict severe property and life damage due to
mountains, steep slopes, and heavy rains. Landslide Susceptibility (LS) maps are extremely …
mountains, steep slopes, and heavy rains. Landslide Susceptibility (LS) maps are extremely …
Landslide susceptibility assessment in Eastern Himalayas, India: a comprehensive exploration of four novel hybrid ensemble data driven techniques integrating …
In the field of landslide susceptibility, the utilization of data driven methodologies has seen a
significant breakthrough. However, the performance of the models depends on the geo …
significant breakthrough. However, the performance of the models depends on the geo …
Geospatial Assessment and Map** Landslide Susceptibility for the Garo Hills Division, Meghalaya, India
Creating accurate and effective Landslide Susceptibility (LS) maps can aid disaster
prevention and mitigation efforts and provide sufficient public safety. The primary aim of this …
prevention and mitigation efforts and provide sufficient public safety. The primary aim of this …