Accès ouvert
2026
article
OpenAlex
José V. Roces‐Díaz, Lucía García-Candanedo, Celestino Ordóñez, Arturo Colina Vuelta et autres
Rural land systems are complex and dynamic socio-ecological entities that may play a crucial role in sustaining biodiversity and human well-being. Despite their relevance, the mechanisms driving the spatial organisation and temporal reconfiguration of these systems remain insufficiently understood, particularly in the …
es, us
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Accès ouvert
2025
article
OpenAlex
Susana Suárez‐Seoane, Lucía García-Candanedo, Daniel Pfitzer-López, José Manuel Fernández‐Guisuraga et autres
Forest fires cause major environmental and socio-economic impacts, with the greatest risk for people occurring in the wildland-urban interface (WUI). In Ibero-Atlantic landscapes, where dispersed settlements are expanding into wildlands and vegetation is encroaching on populated areas, both the frequency and severity …
es, mx, gb
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Accès ouvert
2025
article
OpenAlex
Lorena Salgado, Arturo Colina Vuelta, A Balongo de la Vega, Luis M. Lara et autres
The waste dump from the abandoned La Soterraña mine, a former mercury extraction site, contains high concentrations of mercury (Hg) and arsenic (As), which pose a significant environmental risk due to direct exposure to the environment. Given the site’s topography and slope, …
es
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Accès ouvert
2025
article
OpenAlex
Lorena Salgado, J.R. Gallego, Carlos A. López‐Sánchez, Arturo Colina Vuelta et autres
Soil organic carbon (SOC) is essential for maintaining ecosystem health, and its depletion is widely recognized as a key indicator of soil degradation. Activities such as mining and wildfire disturbances significantly intensify soil degradation, leading to quantitative and qualitative declines in SOC. …
es
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Accès ouvert
2025
article
OpenAlex
Lorena Salgado, Rubén Forján, José Ramón Rodríguez Pérez, Arturo Colina Vuelta et autres
Abstract Wildfires have a significant impact on Soil Organic Carbon (SOC) content and fractionation. Here we used Diffuse Reflectance Spectroscopy (DRS) and Machine Learning (ML) algorithms, particularly decision tree-based ones, to assess post-wildfire changes in labile, removable, and recalcitrant SOC fractions across …
es
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Accès ouvert
2025
article
OpenAlex
Sergio González Begega, Arturo Colina Vuelta, Ícaro Obeso Muñiz, Alfredo Llorente del Rio et autres
Accès ouvert
2025
article
OpenAlex
Sergio González Begega, Arturo Colina Vuelta, Ícaro Obeso Muñiz, Abel Arias Castaño et autres
Accès ouvert
2024
conference-abstract
OpenAlex
Lorena Salgado, Rubén Forján, Carlos A. López‐Sánchez, M Alvarez et autres
Traditional methods to acquire (geo)chemical data of Soil Organic Carbon (SOC) in soil rely on manual sampling, time-consuming and laborious chemical analyses, and subsequent mapping by geostatistical interpolation methods. In this study, we propose the use of UAV-RS and Sentinel-2 images, still …
es, pt
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Accès ouvert
2023
article
OpenAlex
Ícaro Obeso Muñiz, Arturo Colina Vuelta
This research focuses on the identification of industrial wastelands in Langreo and the strategies employed for their regeneration. The breakdown of the industrialisation production model, characterised by the concentration of mining and iron and steel activities, introduced economic, social and landscape changes. …
es
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Accès ouvert
2023
article
OpenAlex
L. Salgado, Carlos A. López‐Sánchez, Arturo Colina Vuelta, Diego Baragaño et autres
The combination of a low-density geochemical survey, multispectral data obtained with Unmanned Aerial Vehicle-Remote Sensing (UAV-RS), and a machine learning technique was tested in the search for a statistically robust prediction of contaminant distribution in soil and vegetation, for zones with a …
es
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Accès ouvert
2023
article
OpenAlex
Sergio González Begega, Arturo Colina Vuelta, Claudia Suárez Arbesú, Andrea Moreno González
Accès ouvert
2020
article
OpenAlex
Carlos Boente, Lorena Salgado, Emilio Manuel Romero Macías, Arturo Colina Vuelta et autres
In the context of soil pollution, plants suffer stress when exposed to extreme concentrations of potentially toxic elements (PTEs). The alterations to the plants caused by such stressors can be monitored by multispectral imagery in the form of vegetation indices, which can …
es
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