Effect of the Normalized Difference Vegetation Index (NDVI) on GIS-Enabled Bivariate and Multivariate Statistical Models for Landslide Susceptibility Mapping

Journal of the Indian Society of Remote Sensing, Год журнала: 2023, Номер 51(8), С. 1739 - 1756

Опубликована: Июль 28, 2023

Язык: Английский

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Exploring machine learning and statistical approach techniques for landslide susceptibility mapping in Siwalik Himalayan Region using geospatial technology

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(7), С. 10443 - 10459

Опубликована: Янв. 10, 2024

Язык: Английский

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Predicting landslide susceptibility based on decision tree machine learning models under climate and land use changes

Geocarto International, Год журнала: 2021, Номер 37(25), С. 7881 - 7907

Опубликована: Сен. 27, 2021

Landslides are most catastrophic and frequently occurred across the world. In mountainous areas of globe, recurrent occurrences landslide have caused huge amount economic losses a large number casualties. this research, we attempted to estimate potential impact climate LULC on future susceptibility in Markazi Province Iran. We considered boosted tree (BT), random forest (RF) extremely randomized (ERT) models for assessment Province. The results evaluation criteria showed that ERT model is optimal than other used study with AUC values 0.99 0.93 training validation datasets, respectively. According model, spatial coverage very high land slide susceptible zones current period, 2050s considering RCP 2.6 8.5 428.5 km2, 439.6 km2 465.2 From analysis it clear changes prominent. present help managers reduce damages, not only but also conditions, based changes.

Язык: Английский

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Assessing landslide susceptibility using a machine learning-based approach to achieving land degradation neutrality

Environmental Earth Sciences, Год журнала: 2021, Номер 80(17)

Опубликована: Авг. 18, 2021

Язык: Английский

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Development of geo-environmental factors controlled flash flood hazard map for emergency relief operation in complex hydro-geomorphic environment of tropical river, India

Environmental Science and Pollution Research, Год журнала: 2022, Номер 30(49), С. 106951 - 106966

Опубликована: Окт. 13, 2022

Язык: Английский

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Evaluation of debris flow and landslide hazards using ensemble framework of Bayesian- and tree-based models

Bulletin of Engineering Geology and the Environment, Год журнала: 2022, Номер 81(1)

Опубликована: Янв. 1, 2022

Язык: Английский

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Potential impacts of future climate on the spatio-temporal variability of landslide susceptibility in Iran using machine learning algorithms and CMIP6 climate-change scenarios

Gondwana Research, Год журнала: 2023, Номер 124, С. 1 - 17

Опубликована: Май 19, 2023

Язык: Английский

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Development and assessment of a novel hybrid machine learning-based landslide susceptibility mapping model in the Darjeeling Himalayas

Stochastic Environmental Research and Risk Assessment, Год журнала: 2023, Номер unknown

Опубликована: Авг. 4, 2023

Язык: Английский

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Application of novel framework approach for prediction of nitrate concentration susceptibility in coastal multi-aquifers, Bangladesh

The Science of The Total Environment, Год журнала: 2021, Номер 801, С. 149811 - 149811

Опубликована: Авг. 20, 2021

Язык: Английский

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Random Forest for rice yield mapping and prediction using Sentinel-2 data with Google Earth Engine

Advances in Space Research, Год журнала: 2022, Номер 70(8), С. 2443 - 2457

Опубликована: Июль 8, 2022

Язык: Английский

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