EMMA
IZQUIERDO VERDIGUIER
INVEST CONT VALi+d
Publications (52) Publications de EMMA IZQUIERDO VERDIGUIER
2024
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Learning vs. understanding: When does artificial intelligence outperform process-based modeling in soil organic carbon prediction?
New Biotechnology, Vol. 81, pp. 20-31
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Within-season crop monitoring at continental scale utilizing new gap-filled Landsat temporal series
International Journal of Digital Earth, Vol. 17, Núm. 1
2022
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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, Vol. 36, Núm. 12, pp. 2473-2495
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Satellite Analyses Unravel the Multi-Decadal Impact of Dam Management on Tropical Floodplain Vegetation
Frontiers in Environmental Science, Vol. 10
2021
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GLOBAL UPSCALING OF THE MODIS LAND COVER WITH GOOGLE EARTH ENGINE AND LANDSAT DATA
International Geoscience and Remote Sensing Symposium (IGARSS)
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Remote sensing applications in sugarcane cultivation: A review
Remote Sensing, Vol. 13, Núm. 20
2020
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A Multiscale Random Forest Kernel for Land Cover Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 13, pp. 2842-2852
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An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing
International Journal of Applied Earth Observation and Geoinformation, Vol. 88
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Comparison of harmonic analysis of time series (HANTS) and multi-singular spectrum analysis (M-SSA) in reconstruction of long-gap missing data in NDVI time series
Remote Sensing, Vol. 12, Núm. 17, pp. 1-22
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Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine
International Geoscience and Remote Sensing Symposium (IGARSS)
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Exploring differences in spatial patterns and temporal trends of phenological models at continental scale using gridded temperature time-series
International Journal of Biometeorology, Vol. 64, Núm. 3, pp. 409-421
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Land Cover Classification Using Extremely Randomized Trees: A Kernel Perspective
IEEE Geoscience and Remote Sensing Letters, Vol. 17, Núm. 10, pp. 1702-1706
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Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources
Information Fusion, Vol. 63, pp. 256-272
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Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud
Remote Sensing of Environment, Vol. 247
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Understanding deep learning in land use classification based on Sentinel-2 time series
Scientific Reports, Vol. 10, Núm. 1
2019
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Correction: Evaluating the performance of a random forest kernel for land cover classification [Remote Sensing, 11, (2019) (575)] DOI:10.3390/rs11050575
Remote Sensing
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Dataset reduction techniques to speed up SVD analyses on big geo-datasets
ISPRS International Journal of Geo-Information, Vol. 8, Núm. 2
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Evaluating the performance of a Random Forest Kernel for land cover classification
Remote Sensing, Vol. 11, Núm. 5
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Growing stock volume from multi-temporal landsat imagery through google earth engine
International Journal of Applied Earth Observation and Geoinformation, Vol. 83
2018
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A cloud-based multi-temporal ensemble classifier to map smallholder farming systems
Remote Sensing, Vol. 10, Núm. 5