Výsledky vyhledávání - "Francisco Alonso-Sarría"

Akademický článek

Evapotranspiration Response to Climate Change in Semi-Arid Areas: Using Random Forest as Multi-Model Ensemble Method

Autor: Marcos Ruiz-Aĺvarez, Francisco Gomariz-Castillo, Francisco Alonso-Sarría

Publikováno v: Water, Vol 13, Iss 2, p 222 (2021)

Large ensembles of climate models are increasingly available either as ensembles of opportunity or perturbed physics ensembles, providing a wealth of additional data that is potentially useful for improving adaptation strategies to climate change. In

Externí odkaz: https://doaj.org/article/7abe62eda5044a7baf64d2e2e7157dd4

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Estimation of actual evapotranspiration using TDTM model and MODIS derived variables

Autor: Marcos Ruiz-Álvarez, Francisco Gomariz-Castillo, Francisco Alonso-Sarría, Ana López-Ballesteros

Publikováno v: Geocarto International. 37:9242-9260

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8c7ac9a2167e0d04c1f67869d3540c01
https://doi.org/10.1080/10106049.2021.2017011

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Effect of the Synergetic Use of Sentinel-1, Sentinel-2, LiDAR and Derived Data in Land Cover Classification of a Semiarid Mediterranean Area Using Machine Learning Algorithms

Autor: Carmen Valdivieso-Ros, Francisco Alonso-Sarría, Francisco Gomariz-Castillo

Publikováno v: Remote Sensing; Volume 15; Issue 2; Pages: 312

Land cover classification in semiarid areas is a difficult task that has been tackled using different strategies, such as the use of normalized indices, texture metrics, and the combination of images from different dates or different sensors. In this

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d22fff160b0e8fa0012231537987e58

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Akademický článek

Optimal Combination of Classification Algorithms and Feature Ranking Methods for Object-Based Classification of Submeter Resolution Z/I-Imaging DMC Imagery

Autor: Fulgencio Cánovas-García, Francisco Alonso-Sarría

Publikováno v: Remote Sensing, Vol 7, Iss 4, Pp 4651-4677 (2015)

Object-based image analysis allows several different features to be calculated for the resulting objects. However, a large number of features means longer computing times and might even result in a loss of classification accuracy. In this study, we u

Externí odkaz: https://doaj.org/article/af80cfaa76fd4e15bcb36297470b0d93

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The relict population of Pinna nobilis in the Mar Menor is facing an uncertain future

Autor: Emilio Cortés-Melendreras, Francisco Gomariz-Castillo, Francisco Alonso-Sarría, Francisco J. Giménez Martín, Javier Murcia, Rosa Canales-Cáceres, Alfonso A. Ramos Esplá, Carmen Barberá, Francisca Giménez-Casalduero

Pinna nobilis is undergoing one of the most dramatic events suffered by an endangered species. An emerging disease has relegated its populations to coastal lagoons or estuaries with salinities beyond the 36.5–39.7 psu range. The Mar Menor is one of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b20a4c4cddd277eec4158e68028d430
https://hdl.handle.net/10045/129908

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Pinna nobilis in the Mar Menor coastal lagoon: a story of colonization and uncertainty

Autor: Francisca Gimenez-Casalduero, Francisco Alonso-Sarría, Alfonso A. Ramos-Esplá, A. Izquierdo-Muñoz, E. Cortés, Francisco Gomariz-Castillo

Publikováno v: Marine Ecology Progress Series. 652:77-94

Populations of the Mediterranean fan mussel Pinna nobilis have progressively decreased over the last decades as a result of anthropogenic activities. The rate of decline has strongly increased since 2016, when a mass mortality event triggered by the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f2fabb13032134100b12efcd8d95d1c
https://doi.org/10.3354/meps13468

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