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Spatio-temporal pattern distribution of landslides causing damage in Switzerland

Landslides, 2019-11, Vol.16 (11), p.2103-2113

2019

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Rockfall detection from terrestrial LiDAR point clouds: A clustering approach using R

Journal of spatial information science, 2014-06, Vol.2014 (8), p.95-110

2014

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A Machine Learning-Based Approach for Wildfire Susceptibility Mapping. The Case Study of the Liguria Region in Italy

Geosciences (Basel), 2020-03, Vol.10 (3), p.105

2020

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Dynamics of agricultural land systems in western Mediterranean areas: a clustering approach based on the self-organizing map

Italian journal of agronomy, 2023-10, Vol.18 (3)

2023

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An Explorative Application of Random Forest Algorithm for Archaeological Predictive Modeling. A Swiss Case Study

Journal of computer applications in archaeology, 2021-05, Vol.4 (1), p.110-125

2021

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Machine-Learning Applications in Geosciences: Comparison of Different Algorithms and Vegetation Classes’ Importance Ranking in Wildfire Susceptibility

Geosciences (Basel), 2022-11, Vol.12 (11), p.424

2022

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Spatial Assessment of Wildfires Susceptibility in Santa Cruz (Bolivia) Using Random Forest

Geosciences (Basel), 2021-05, Vol.11 (5), p.224

2021

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Quantitative Assessment of the Relationship between Land Use/Land Cover Changes and Wildfires in Southern Europe

Fire (Basel, Switzerland), 2023-05, Vol.6 (5), p.198

2023

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Wildfire susceptibility mapping: Deterministic vs. stochastic approaches

Environmental modelling & software : with environment data news, 2018-03, Vol.101, p.194-203

2018

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Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal

Environmental modelling & software : with environment data news, 2018-06, Vol.104, p.171-187

2018

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Space-time clustering analysis of wildfires: The influence of dataset characteristics, fire prevention policy decisions, weather and climate

The Science of the total environment, 2016-07, Vol.559, p.151-165

2016

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Geomorphological activity at a rock glacier front detected with a 3D density-based clustering algorithm

Geomorphology (Amsterdam, Netherlands), 2017-02, Vol.278, p.287-297

2017

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Using data-driven algorithms for semi-automated geomorphological mapping

Stochastic environmental research and risk assessment, 2022-08, Vol.36 (8), p.2115-2131

2022

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Evolution of forest fires in Portugal: from spatio-temporal point events to smoothed density maps

Natural hazards (Dordrecht), 2017-02, Vol.85 (3), p.1489-1510

2017

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Global assessment of rural–urban interface in Portugal related to land cover changes

Natural hazards and earth system sciences, 2018-06, Vol.18 (6), p.1647-1664

2018

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Spatial pattern of landslides in Swiss Rhone Valley

Natural hazards (Dordrecht), 2014-08, Vol.73 (1), p.97-110

2014

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Characterisation and spatial distribution of gravitational slope deformation in the Upper Rhone catchment (Western Swiss Alps)

Landslides, 2016-04, Vol.13 (2), p.259-277

2016

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Spatiotemporal clustering of flash floods in a changing climate (China, 1950–2015)

Natural hazards and earth system sciences, 2021-07, Vol.21 (7), p.2109-2124

2021

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Spatiotemporal data science: theoretical advances and applications

Stochastic environmental research and risk assessment, 2022-08, Vol.36 (8), p.2027-2029

2022

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Space-time clustering analysis performance of an aggregated dataset: The case of wildfires in Portugal

Environmental modelling & software : with environment data news, 2015-10, Vol.72, p.239-249

2015

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Land use changes, landslides and roads in the Phewa Watershed, Western Nepal from 1979 to 2016

Applied geography (Sevenoaks), 2018-05, Vol.94, p.30-40

2018

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Geospatial approach for defining the Wildland-Urban Interface in the Alpine environment

Computers, environment and urban systems, 2015-07, Vol.52, p.10-20

2015

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Cluster recognition in spatial-temporal sequences: the case of forest fires

GeoInformatica, 2012-10, Vol.16 (4), p.653-673

2012

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Spatial pattern of landslides in Swiss Rhone Valley: Advanced Methods in Landslide Modeling

Natural hazards (Dordrecht), 2014, Vol.73 (1), p.97-110

2014

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Cluster recognition in spatial-temporal sequences: the case of forest fires: Integrated Spatio-Temporal Analysis and Data Mining

GeoInformatica, 2012, Vol.16 (4), p.653-673

2012

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Spatio-temporal pattern distribution of landslides causing damage in Switzerland

Rockfall detection from terrestrial LiDAR point clouds: A clustering approach using R

A Machine Learning-Based Approach for Wildfire Susceptibility Mapping. The Case Study of the Liguria Region in Italy

Dynamics of agricultural land systems in western Mediterranean areas: a clustering approach based on the self-organizing map

An Explorative Application of Random Forest Algorithm for Archaeological Predictive Modeling. A Swiss Case Study

Machine-Learning Applications in Geosciences: Comparison of Different Algorithms and Vegetation Classes’ Importance Ranking in Wildfire Susceptibility

Spatial Assessment of Wildfires Susceptibility in Santa Cruz (Bolivia) Using Random Forest

Quantitative Assessment of the Relationship between Land Use/Land Cover Changes and Wildfires in Southern Europe

Wildfire susceptibility mapping: Deterministic vs. stochastic approaches

Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal

Space-time clustering analysis of wildfires: The influence of dataset characteristics, fire prevention policy decisions, weather and climate

Geomorphological activity at a rock glacier front detected with a 3D density-based clustering algorithm

Using data-driven algorithms for semi-automated geomorphological mapping

Evolution of forest fires in Portugal: from spatio-temporal point events to smoothed density maps

Global assessment of rural–urban interface in Portugal related to land cover changes

Spatial pattern of landslides in Swiss Rhone Valley

Characterisation and spatial distribution of gravitational slope deformation in the Upper Rhone catchment (Western Swiss Alps)

Spatiotemporal clustering of flash floods in a changing climate (China, 1950–2015)

Spatiotemporal data science: theoretical advances and applications

Space-time clustering analysis performance of an aggregated dataset: The case of wildfires in Portugal

Land use changes, landslides and roads in the Phewa Watershed, Western Nepal from 1979 to 2016

Geospatial approach for defining the Wildland-Urban Interface in the Alpine environment

Cluster recognition in spatial-temporal sequences: the case of forest fires

Spatial pattern of landslides in Swiss Rhone Valley: Advanced Methods in Landslide Modeling

Cluster recognition in spatial-temporal sequences: the case of forest fires: Integrated Spatio-Temporal Analysis and Data Mining

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