Evaluation of Conditioning Factors of Slope Instability and Continuous Change Maps in the Generation of Landslide Inventory Maps Using Machine Learning (ML) Algorithms

Autor: Rocío N. Ramos-Bernal, René Vázquez-Jiménez, Claudia A. Cantú-Ramírez, Antonio Alarcón-Paredes, Gustavo A. Alonso-Silverio, Adrián G. Bruzón, Fátima Arrogante-Funes, Fidel Martín-González, Carlos J. Novillo, Patricia Arrogante-Funes

Publikováno v: Remote Sensing, Vol 13, Iss 22, p 4515 (2021)

Landslides are recognized as high-impact natural hazards in different regions around the world; therefore, they are extensively researched by experts. Landslide inventories are essential to identify areas that are likely to be affected in the future,

Externí odkaz: https://doaj.org/article/f1611f2935aa421bb25b372fc4a90ee7

Recent NDVI Trends in Mainland Spain: Land-Cover and Phytoclimatic-Type Implications

Autor: Carlos J. Novillo, Patricia Arrogante-Funes, Raúl Romero-Calcerrada

Publikováno v: ISPRS International Journal of Geo-Information, Vol 8, Iss 1, p 43 (2019)

The temporal evolution of vegetation is one of the best indicators of climate change, and many earth system models are dependent on an accurate understanding of this process. However, the effect of climate change is expected to vary from one land-cov

Externí odkaz: https://doaj.org/article/57c3c845b02048bf98993d12d67667f1

Improving Land Cover Classifications with Multiangular Data: MISR Data in Mainland Spain

Autor: Carlos J. Novillo, Patricia Arrogante-Funes, Raúl Romero-Calcerrada

Publikováno v: Remote Sensing, Vol 10, Iss 11, p 1717 (2018)

In this study, we deal with the application of multiangular data from the Multiangle Imaging Spectroradiometer (MISR) sensor for studying the effect of surface anisotropy and directional information on the classification accuracy for different land c

Externí odkaz: https://doaj.org/article/8350997648e24ccd8d1df63ace002aeb

Topographic Correction to Landsat Imagery through Slope Classification by Applying the SCS + C Method in Mountainous Forest Areas

Autor: René Vázquez-Jiménez, Raúl Romero-Calcerrada, Rocío N. Ramos-Bernal, Patricia Arrogante-Funes, Carlos J. Novillo

Publikováno v: ISPRS International Journal of Geo-Information, Vol 6, Iss 9, p 287 (2017)

The aim of the topographic normalization of remotely sensed imagery is to reduce reflectance variability caused by steep terrain and thus improve further processing of images. A process of topographic correction was applied to Landsat imagery in a mo

Externí odkaz: https://doaj.org/article/84548b68631645969432b555a512ae61

Landslide Susceptibility Assessment Using an AutoML Framework

Autor: Patricia Arrogante-Funes, Rubén R. Fernández, Claudia A. Cantú-Ramírez, Fátima Arrogante-Funes, Gustavo A. Alonso-Silverio, Fidel Martín-González, René Vázquez-Jiménez, Antonio Alarcón-Paredes, Carlos J. Novillo, Rocío N. Ramos-Bernal, Adrián G. Bruzón

Publikováno v: International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, Vol 18, Iss 10971, p 10971 (2021)
Volume 18
Issue 20

The risks associated with landslides are increasing the personal losses and material damages in more and more areas of the world. These natural disasters are related to geological and extreme meteorological phenomena (e.g., earthquakes, hurricanes) o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb0e1c94ffe827e4db7340c66826b38c
https://pubmed.ncbi.nlm.nih.gov/34682717