An Algorithm to Detect Endangered Cultural Heritage by Agricultural Expansion in Drylands at a Global Scale

Autor: Francesc C. Conesa, Hector A. Orengo, Agustín Lobo, Cameron A. Petrie

Publikováno v: Remote Sensing, Vol 15, Iss 1, p 53 (2022)

This article presents AgriExp, a remote-based workflow for the rapid mapping and monitoring of archaeological and cultural heritage locations endangered by new agricultural expansion and encroachment. Our approach is powered by the cloud-computing da

Externí odkaz: https://doaj.org/article/1cff85cb8ffc4fefa7fe7c4dbeacf90a

Mapping Crop Planting Quality in Sugarcane from UAV Imagery: A Pilot Study in Nicaragua

Autor: Inti Luna, Agustín Lobo

Publikováno v: Remote Sensing, Vol 8, Iss 6, p 500 (2016)

Sugarcane is an important economic resource for many tropical countries and optimizing plantations is a serious concern with economic and environmental benefits. One of the best ways to optimize the use of resources in those plantations is to minimiz

Externí odkaz: https://doaj.org/article/91839f325d4042ef89dd61dde649b89b

Fairy ring-induced soil potassium depletion gradients reshape microbial community composition in a montane grassland

Autor: Antonio Rodríguez, Mercedes Ibáñez, Roland Bol, Nicolas Brüggemann, Agustín Lobo, Juan José Jimenez, Liliane Ruess, M.‐Teresa Sebastià

Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
instname
Repositorio Abierto de la UdL
Universitad de Lleida
European journal of soil science 73(3), e13239 (2022). doi:10.1111/ejss.13239

Fairy rings promoting circular greening belts in the vegetation can shape soil microbial communities by altering soil conditions. Knowledge about soil variables involved in this process is incomplete. We characterised the soil microbial communities o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d40ec64450d620a2c599b503ee3e264c
http://hdl.handle.net/10261/272208

Machine Learning for Mineral Identification and Ore Estimation from Hyperspectral Imagery in Tin–Tungsten Deposits: Simulation under Indoor Conditions

Autor: Gisela Barroso, David Martí, Agustín Lobo, Jordi Ibáñez-Insa, Emma García, Jose-Luis Fernandez-Turiel

Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
instname
Remote Sensing; Volume 13; Issue 16; Pages: 3258
Remote Sensing, Vol 13, Iss 3258, p 3258 (2021)

This study aims to assess the feasibility of delineating and identifying mineral ores from hyperspectral images of tin–tungsten mine excavation faces using machine learning classification. We compiled a set of hand samples of minerals of interest f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::898465cb41b82476f2777750137e8738
http://hdl.handle.net/10261/250050

Geomorphology of the post-caldera monogenetic volcanoes at Deception Island, Antarctica — Implications for landform recognition and volcanic hazard assessment

Autor: Agustín Lobo, Janina Calle, Adelina Geyer, Gabor Kereszturi, Dario Pedrazzi

Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
instname

Deception Island is one of the most active volcanoes in Antarctica, with more than 20 monogenetic eruptions during the Holocene. The latest episodes of 1967, 1969, and 1970 have shown that volcanic activity on Deception Island can become a concern fo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9f3acf469118f1af39b94c232d152a3
http://hdl.handle.net/10261/218167