FactorsR: An RWizard Application for Identifying the Most Likely Causal Factors in Controlling Species Richness

Autor: Cástor Guisande, Juergen Heine, Emilio García-Roselló, Jacinto González-Dacosta, Baltasar J. García Perez-Schofield, Luis González-Vilas, Antonio Vaamonde, Jorge M. Lobo

Publikováno v: Diversity, Vol 7, Iss 4, Pp 385-396 (2015)

We herein present FactorsR, an RWizard application which provides tools for the identification of the most likely causal factors significantly correlated with species richness, and for depicting on a map the species richness predicted by a Support Ve

Externí odkaz: https://doaj.org/article/eba06e257ef044f4b4e2189416ec782e

WATERHYPERNET: a prototype network of automated in situ measurements of hyperspectral water reflectance for satellite validation and water quality monitoring

Autor: Kevin G. Ruddick, Vittorio E. Brando, Alexandre Corizzi, Ana I. Dogliotti, David Doxaran, Clémence Goyens, Joel Kuusk, Quinten Vanhellemont, Dieter Vansteenwegen, Agnieszka Bialek, Pieter De Vis, Héloise Lavigne, Matthew Beck, Kenneth Flight, Anabel Gammaru, Luis González Vilas, Kaspars Laizans, Francesca Ortenzio, Pablo Perna, Estefania Piegari, Lucas Rubinstein, Morven Sinclair, Dimitry Van der Zande

Publikováno v: Frontiers in Remote Sensing, Vol 5 (2024)

This paper describes a prototype network of automated in situ measurements of hyperspectral water reflectance suitable for satellite validation and water quality monitoring. Radiometric validation of satellite-derived water reflectance is essential t

Externí odkaz: https://doaj.org/article/25c8bbf247ad41129a08dec4c5a7b93f

Assessment of ocean color atmospheric correction methods and development of a regional ocean color operational dataset for the Baltic Sea based on Sentinel-3 OLCI

Autor: Luis González Vilas, Vittorio Ernesto Brando, Annalisa Di Cicco, Simone Colella, Davide D’Alimonte, Tamito Kajiyama, Jenni Attila, Thomas Schroeder

Publikováno v: Frontiers in Marine Science, Vol 10 (2024)

The Baltic Sea is characterized by large gradients in salinity, high concentrations of colored dissolved organic matter, and a phytoplankton phenology with two seasonal blooms. Satellite retrievals of chlorophyll-a concentration (chl-a) are hindered

Externí odkaz: https://doaj.org/article/1fae5fd7940446a6adc88a349df9060c

Diversity Dimensions of Freshwater Fish Species around the World

Autor: Luis González-Vilas, Emilio García-Roselló, Jorge M. Lobo, Carlos Granado-Lorencio, Cástor Guisande, Ana Manjarrés-Hernández, Patricia Pelayo-Villamil, Jacinto González-Dacosta, Juergen Heine, Elisa Pérez-Costas

Publikováno v: Journal of Geographic Information System. 13:1-18

The quality and coverage of the available taxonomical and geographical information and the recognition that diversity is multi-faceted are two main factors that hinder to understand the spatial and temporal variations of biodiversity. In this study,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::16b5995358ee65a70a35587cdd3083cc
https://doi.org/10.4236/jgis.2021.131001

Machine Learning Methods Applied to the Prediction of Pseudo-nitzschia spp. Blooms in the Galician Rias Baixas (NW Spain)

Autor: Jesús Manuel Torres Palenzuela, Luis González Vilas, Evangelos Spyrakos, Francisco M. Bellas Aláez

Publikováno v: Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
ISPRS International Journal of Geo-Information
Volume 10
Issue 4
ISPRS International Journal of Geo-Information, Vol 10, Iss 199, p 199 (2021)

This work presents new prediction models based on recent developments in machine learning methods, such as Random Forest (RF) and AdaBoost, and compares them with more classical approaches, i.e., support vector machines (SVMs) and neural networks (NN

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67a0695d9cdad21c2ef04c1e0c702d33
https://zenodo.org/record/4692676