Comprehensive landslide prediction mapping using bivariate statistical models of Mizoram state of Northeast India
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Spatial Science"
DOI: 10.1080/14498596.2024.2335262
Abstract: ABSTRACT Landslides in the state of Mizoram result in damage to life and properties annually. The study focuses on landslide susceptibility zones by frequency ratio (FR), evidential belief function (EBF) and index of entropy (IOE)… read more here.
Keywords: comprehensive landslide; state; prediction mapping; mapping using ... See more keywords
A testbed for landslide prediction with blockchain-based transmission and cloud offloading
Sign Up to like & getrecommendations! Published in 2025 at "Sensor Review"
DOI: 10.1108/sr-12-2024-1017
Abstract: The purpose of this paper is to develop an IoT-based testbed for land displacement monitoring in real-time with blockchain-enabled transmission and machine learning for predictions. Cloud offloading has also been incorporated into the system proposed.… read more here.
Keywords: transmission; prediction blockchain; testbed landslide; cloud offloading ... See more keywords
Limit equilibrium based landslide prediction system using WSN
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Sensor Networks"
DOI: 10.1504/ijsnet.2020.10028369
Abstract: The increased impact of landslides, especially in emerging countries, is largely related to population growth, increasing infrastructure and human activities in landslide-prone areas. Such a problem incited us to investigate for new solutions that detect… read more here.
Keywords: landslide prediction; prediction system; equilibrium based; system ... See more keywords
Satellite rainfall products outperform ground observations for landslide prediction in India
Sign Up to like & getrecommendations! Published in 2021 at "Hydrology and Earth System Sciences"
DOI: 10.5194/hess-25-3267-2021
Abstract: Abstract. Landslides are among the most dangerous natural hazards, particularly in developing countries, where ground observations for operative early warning systems are lacking. In these areas, remote sensing can represent an important detection and monitoring… read more here.
Keywords: rainfall products; landslide prediction; ground observations; rainfall ... See more keywords
Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models
Sign Up to like & getrecommendations! Published in 2023 at "Natural Hazards and Earth System Sciences"
DOI: 10.5194/nhess-23-1483-2023
Abstract: Abstract. The increasing availability of long-term observational data can lead to the development of innovative modelling approaches to determine landslide triggering conditions at a regional scale, opening new avenues for landslide prediction and early warning.… read more here.
Keywords: additive mixed; generalized additive; landslide prediction; precipitation ... See more keywords