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

Sedimentology, 2015-01, Vol.62 (1), p.266-302

2015

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Evaluation of Bagging, Boosting, and Random Forests for Land-Cover Classification in Cape Cod, Massachusetts, USA

GIScience and remote sensing, 2012-09, Vol.49 (5), p.623-643

2012

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Evaluation of different machine learning methods for land cover mapping of a Mediterranean area using multi-seasonal Landsat images and Digital Terrain Models

International journal of digital earth, 2014-07, Vol.7 (6), p.492-509

2014

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Characterising the Land Surface Phenology of Europe Using Decadal MERIS Data

Remote sensing (Basel, Switzerland), 2015-07, Vol.7 (7), p.9390-9409

2015

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Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review

ISPRS journal of photogrammetry and remote sensing, 2021-01, Vol.171, p.330-347

2021

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Epikarst mapping by remote sensing

Catena (Giessen), 2018-06, Vol.165, p.1-11

2018

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Machine Learning for Modeling Water Demand

Journal of water resources planning and management, 2019-05, Vol.145 (5)

2019

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Extreme warm temperatures alter forest phenology and productivity in Europe

The Science of the total environment, 2016-09, Vol.563-564, p.486-495

2016

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A machine-learning hybrid-classification method for stratification of multidecadal beach dynamics

Geocarto international, 2022-12, Vol.37 (27), p.16534-16558

2022

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Modelling interannual variation in the spring and autumn land surface phenology of the European forest

Biogeosciences, 2016-06, Vol.13 (11), p.3305-3317

2016

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Machine Learning and Feature Selection for soil spectroscopy. An evaluation of Random Forest wrappers to predict soil organic matter, clay, and carbonates

Heliyon, 2024-05, Vol.10 (9), p.e30228-e30228, Article e30228

2024

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Analysis of landslide explicative factors and susceptibility mapping in an andean context: The case of Azuay province (Ecuador)

Heliyon, 2023-09, Vol.9 (9), p.e20170-e20170, Article e20170

2023

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

Computers & geosciences, 2014-12, Vol.73, p.198-207

2014

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Effects of major storms over a spit-tidal flat interaction system (Punta Rasa-Samborombón, Argentina)

The Science of the total environment, 2024-06, Vol.930, p.172818-172818, Article 172818

2024

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

International journal of remote sensing, 2012-01, Vol.33 (20), p.6574-6599

2012

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Evaluating the BFAST method to detect and characterise changing trends in water time series: A case study on the impact of droughts on the Mediterranean climate

The Science of the total environment, 2022-11, Vol.846, p.157428-157428, Article 157428

2022

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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)

The Science of the total environment, 2014-04, Vol.476-477, p.189-206

2014

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Analysing long-term spatiotemporal land surface phenology patterns over the Iberian Peninsula using 250 m MODIS EVI2 data

The Science of the total environment, 2024-12, Vol.954, p.176453, Article 176453

2024

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Morphometric analysis of three-dimensional networks of karst conduits

Geomorphology (Amsterdam, Netherlands), 2011-09, Vol.132 (1), p.17-28

2011

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Predictive modelling benchmark of nitrate Vulnerable Zones at a regional scale based on Machine learning and remote sensing

Journal of hydrology (Amsterdam), 2021-12, Vol.603, p.127092, Article 127092

2021

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GEOSTATISTICAL SOLUTIONS FOR DOWNSCALING REMOTELY SENSED LAND SURFACE TEMPERATURE

International archives of the photogrammetry, remote sensing and spatial information sciences., 2017-09, Vol.XLII-2/W7, p.913-917

2017

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Characterization and mapping of illegal landfill potential occurrence in the Canary Islands

Waste management (Elmsford), 2019-02, Vol.85, p.506-518

2019

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Could land surface phenology be used to discriminate Mediterranean pine species?

International journal of applied earth observation and geoinformation, 2019-06, Vol.78, p.281-294

2019

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Spatiotemporal analysis of the housing bubble's contribution to the proliferation of illegal landfills – The case of Gran Canaria

The Science of the total environment, 2019-10, Vol.687, p.104-117

2019

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Area and Feature Guided Regularised Random Forest: a novel method for predictive modelling of binary phenomena. The case of illegal landfill in Canary Island

International journal of geographical information science : IJGIS, 2022-12, Vol.36 (12), p.2473-2495

2022

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

Evaluation of Bagging, Boosting, and Random Forests for Land-Cover Classification in Cape Cod, Massachusetts, USA

Evaluation of different machine learning methods for land cover mapping of a Mediterranean area using multi-seasonal Landsat images and Digital Terrain Models

Characterising the Land Surface Phenology of Europe Using Decadal MERIS Data

Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review

Epikarst mapping by remote sensing

Machine Learning for Modeling Water Demand

Extreme warm temperatures alter forest phenology and productivity in Europe

A machine-learning hybrid-classification method for stratification of multidecadal beach dynamics

Modelling interannual variation in the spring and autumn land surface phenology of the European forest

Machine Learning and Feature Selection for soil spectroscopy. An evaluation of Random Forest wrappers to predict soil organic matter, clay, and carbonates

Analysis of landslide explicative factors and susceptibility mapping in an andean context: The case of Azuay province (Ecuador)

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

Effects of major storms over a spit-tidal flat interaction system (Punta Rasa-Samborombón, Argentina)

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

Evaluating the BFAST method to detect and characterise changing trends in water time series: A case study on the impact of droughts on the Mediterranean climate

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)

Analysing long-term spatiotemporal land surface phenology patterns over the Iberian Peninsula using 250 m MODIS EVI2 data

Morphometric analysis of three-dimensional networks of karst conduits

Predictive modelling benchmark of nitrate Vulnerable Zones at a regional scale based on Machine learning and remote sensing

GEOSTATISTICAL SOLUTIONS FOR DOWNSCALING REMOTELY SENSED LAND SURFACE TEMPERATURE

Characterization and mapping of illegal landfill potential occurrence in the Canary Islands

Could land surface phenology be used to discriminate Mediterranean pine species?

Spatiotemporal analysis of the housing bubble's contribution to the proliferation of illegal landfills – The case of Gran Canaria

Area and Feature Guided Regularised Random Forest: a novel method for predictive modelling of binary phenomena. The case of illegal landfill in Canary Island

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