Geospatial and Ground Factors for Landslide Susceptibility Mapping using TS-Clustering and PS-InSAR (Bafoussam, West Region,Cameroon, 2019)

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Detalles Bibliográficos
Autores principales:	Kemche Ghonsi, Adrien Arnaud, BOWONG TSAKOU, Samuel, Mvogo Ngono, Joseph, Noumsi, Auguste, Nguekeu, Nadiane
Formato:	Recurso digital
Lenguaje:	inglés
Publicado:	Zenodo 2025
Materias:	Spatio-Temporal Clustering; Trajectory-Based Clustering; Semi-Supervised Clustering-Based Labeling; Contextual Geospatial Factors; PS-InSAR, Landslide Forecasting Behavior
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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author	Kemche Ghonsi, Adrien Arnaud BOWONG TSAKOU, Samuel Mvogo Ngono, Joseph Noumsi, Auguste Nguekeu, Nadiane
author_facet	Kemche Ghonsi, Adrien Arnaud BOWONG TSAKOU, Samuel Mvogo Ngono, Joseph Noumsi, Auguste Nguekeu, Nadiane
contents	<p>This dataset supports the study on landslide susceptibility mapping using a novel TS-Clustering approach integrating spatiotemporal deformation data from Persistent Scatterer InSAR (PS-InSAR) and contextual geospatial factors. It includes both raw and normalized versions of the contextual factors, multicollinearity test outputs (VIF), and ground dynamic features used for the TS-Clustering experiments.</p> <p>The dataset is composed of four `.pkl` files:<br>- `<a href="https://zenodo.org/uploads/16216682" target="_blank" rel="noopener noreferrer">factors_contextual_vif_data_2019.</a>pkl`: Raw contextual factors with multicollinearity analysis (VIF)<br>- `<a href="https://zenodo.org/uploads/16216682" target="_blank" rel="noopener noreferrer">factors_contextual_vif_normalized_data_2019</a>.pkl`: Normalized version of the above<br>- `<a href="https://zenodo.org/api/records/16216682/draft/files/factors_ground_deformation_data_2019.pkl/content" target="_blank" rel="noopener noreferrer">factors_ground_deformation_data_2019</a>.pkl`: Raw ground deformation factors<br>- `<a href="https://zenodo.org/uploads/16216682" target="_blank" rel="noopener noreferrer">factors_ground_deformation_data_2019_normalized</a>.pkl`: Normalized version of the above</p> <p>These files were used for unsupervised clustering, model testing, and landslide susceptibility analysis in the western region of Cameroon, Bafoussam(5 o 28' North, 10o 25' East).</p> <p>Please cite this dataset using the DOI provided by Zenodo.</p>
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institution	Zenodo
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publishDate	2025
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spellingShingle	Geospatial and Ground Factors for Landslide Susceptibility Mapping using TS-Clustering and PS-InSAR (Bafoussam, West Region,Cameroon, 2019) Kemche Ghonsi, Adrien Arnaud BOWONG TSAKOU, Samuel Mvogo Ngono, Joseph Noumsi, Auguste Nguekeu, Nadiane Spatio-Temporal Clustering; Trajectory-Based Clustering; Semi-Supervised Clustering-Based Labeling; Contextual Geospatial Factors; PS-InSAR, Landslide Forecasting Behavior <p>This dataset supports the study on landslide susceptibility mapping using a novel TS-Clustering approach integrating spatiotemporal deformation data from Persistent Scatterer InSAR (PS-InSAR) and contextual geospatial factors. It includes both raw and normalized versions of the contextual factors, multicollinearity test outputs (VIF), and ground dynamic features used for the TS-Clustering experiments.</p> <p>The dataset is composed of four `.pkl` files:<br>- `<a href="https://zenodo.org/uploads/16216682" target="_blank" rel="noopener noreferrer">factors_contextual_vif_data_2019.</a>pkl`: Raw contextual factors with multicollinearity analysis (VIF)<br>- `<a href="https://zenodo.org/uploads/16216682" target="_blank" rel="noopener noreferrer">factors_contextual_vif_normalized_data_2019</a>.pkl`: Normalized version of the above<br>- `<a href="https://zenodo.org/api/records/16216682/draft/files/factors_ground_deformation_data_2019.pkl/content" target="_blank" rel="noopener noreferrer">factors_ground_deformation_data_2019</a>.pkl`: Raw ground deformation factors<br>- `<a href="https://zenodo.org/uploads/16216682" target="_blank" rel="noopener noreferrer">factors_ground_deformation_data_2019_normalized</a>.pkl`: Normalized version of the above</p> <p>These files were used for unsupervised clustering, model testing, and landslide susceptibility analysis in the western region of Cameroon, Bafoussam(5 o 28' North, 10o 25' East).</p> <p>Please cite this dataset using the DOI provided by Zenodo.</p>
title	Geospatial and Ground Factors for Landslide Susceptibility Mapping using TS-Clustering and PS-InSAR (Bafoussam, West Region,Cameroon, 2019)
topic	Spatio-Temporal Clustering; Trajectory-Based Clustering; Semi-Supervised Clustering-Based Labeling; Contextual Geospatial Factors; PS-InSAR, Landslide Forecasting Behavior
url	https://doi.org/10.5281/zenodo.16216682

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