GUSTAU
CAMPS VALLS
CATEDRÁTICO/A DE UNIVERSIDAD
ALVARO
MORENO MARTINEZ
INVEST DOCT UV SENIOR
Publicacions en què col·labora amb ALVARO MORENO MARTINEZ (24)
2024
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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
2023
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Estimation of vegetation traits with kernel NDVI
ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 195, pp. 408-417
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Inference over radiative transfer models using variational and expectation maximization methods
Machine Learning, Vol. 112, Núm. 3, pp. 921-937
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Land use classification over smallholding areas in the European Common Agricultural Policy framework
ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 197, pp. 320-334
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Soil and vegetation water content identify the main terrestrial ecosystem changes
National Science Review, Vol. 10, Núm. 5
2022
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Inferring causal relations from observational long-term carbon and water fluxes records
Scientific Reports, Vol. 12, Núm. 1
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Quantifying uncertainty in high resolution biophysical variable retrieval with machine learning
Remote Sensing of Environment, Vol. 280
2021
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A unified vegetation index for quantifying the terrestrial biosphere
Science Advances, Vol. 7, Núm. 9
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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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Learning main drivers of crop progress and failure in Europe with interpretable machine learning
International Journal of Applied Earth Observation and Geoinformation, Vol. 104
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PHYSICS-AWARE MACHINE LEARNING FOR GEOSCIENCES AND REMOTE SENSING
International Geoscience and Remote Sensing Symposium (IGARSS)
2020
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A global canopy water content product from AVHRR/Metop
ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 162, pp. 77-93
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Discovering Differential Equations from Earth Observation Data
International Geoscience and Remote Sensing Symposium (IGARSS)
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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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Interpretability of Recurrent Neural Networks in Remote Sensing
International Geoscience and Remote Sensing Symposium (IGARSS)
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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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Machine learning methods for spatial and temporal parameter estimation
Advances in Computer Vision and Pattern Recognition (Springer), pp. 5-35
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Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud
Remote Sensing of Environment, Vol. 247
2018
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A methodology to derive global maps of leaf traits using remote sensing and climate data
Remote Sensing of Environment, Vol. 218, pp. 69-88
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Global estimation of biophysical variables from Google Earth Engine platform
Remote Sensing, Vol. 10, Núm. 8