V. F. Rodríguez-Galiano-rekin lankidetzan egindako argitalpenak (37)

2018

  1. Feature selection approaches for predictive modelling of groundwater nitrate pollution: An evaluation of filters, embedded and wrapper methods

    Science of the Total Environment, Vol. 624, pp. 661-672

2017

  1. A methodology for assessing public health risk associated with groundwater nitrate contamination: a case study in an agricultural setting (southern Spain)

    Environmental Geochemistry and Health, Vol. 39, Núm. 5, pp. 1117-1132

2015

  1. Cartografía de potencialidad de oro en Rodalquilar: Uso de imágenes hiperespectrales Hyperion como fuente de información

    Teledetección, humedales y espacios protegidos: Libro de actas del XVI Congreso de la Asociación Española de Teledetección

  2. Compositional cokriging for mapping the probability risk of groundwater contamination by nitrates

    Science of the Total Environment, Vol. 532, pp. 162-175

  3. Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines

    Ore Geology Reviews, Vol. 71, pp. 804-818

  4. New insights into geochemical behaviour in ancient marine carbonates (Upper Jurassic Ammonitico Rosso): Novel proxies for interpreting sea-level dynamics and palaeoceanography

    Sedimentology, Vol. 62, Núm. 1, pp. 266-302

2014

  1. Analysis of the parametrization needs of different land cover classifiers: The case study of granda province (Spain)

    Lecture Notes in Earth System Sciences, Vol. 0, pp. 123-126

  2. Categorical indicator kriging for assessing the risk of groundwater nitrate pollution: The case of Vega de Granada aquifer (SE Spain)

    Science of the Total Environment, Vol. 470-471, pp. 229-239

  3. Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an agricultural setting (Southern Spain)

    Science of the Total Environment, Vol. 476-477, pp. 189-206

  4. Predictive modelling of gold potential with the integration of multisource information based on random forest: a case study on the Rodalquilar area, Southern Spain

    International Journal of Geographical Information Science, Vol. 28, Núm. 7, pp. 1336-1354

  5. Quantitative risk management of groundwater contamination by nitrates using indicator geostatistics

    Lecture Notes in Earth System Sciences, Vol. 0, pp. 533-536

  6. Regression trees for modeling geochemical data-An application to Late Jurassic carbonates (Ammonitico Rosso)

    Computers and Geosciences, Vol. 73, pp. 198-207

2012

  1. A comparative assessment of different methods for Landsat 7/ETM+ pansharpening

    International Journal of Remote Sensing, Vol. 33, Núm. 20, pp. 6574-6599

  2. A comparative assessment of different methods for Landsat 7/ETM+ pansharpening

    International Journal of Computers and their Applications, Vol. 33, Núm. 20

  3. An assessment of the effectiveness of a random forest classifier for land-cover classification

    ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 67, Núm. 1, pp. 93-104

  4. Análisis espacial del riesgo de contaminación por nitratos de las aguas subterráneas del acuífero de la Vega de Granada y sus implicaciones sanitarias

    El agua en Andalucía: retos y avances en el inicio del milenio (Instituto Geológico y Minero de España), pp. 1259-1268

  5. Cartografía del epikarst integrando información de campo, geología e imágenes de satélite: caso de Sierra de las Nieves (Málaga)

    El agua en Andalucía: retos y avances en el inicio del milenio (Instituto Geológico y Minero de España), pp. 1611-1620

  6. Construcción de mapas de vulnerabilidad de acuíferos mediante modelos basados en reglas difusas y geoestadística

    Geotemas (Madrid), Núm. 13, pp. 1056-1059

  7. Downscaling Landsat 7 ETM+ thermal imagery using land surface temperature and NDVI images

    International Journal of Applied Earth Observation and Geoinformation, Vol. 18, Núm. 1, pp. 515-527

  8. Incorporating the downscaled Landsat TM thermal band in land-cover classification using random forest

    Photogrammetric Engineering and Remote Sensing, Vol. 78, Núm. 2, pp. 129-137