Deep learning para asistir en la predicción de incendios forestales
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Stanford University
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Soil moisture, a key variable for hydrological prediction: flood, landslide and drought.
Luca Brocca
Research Institute for Geo-Hydrological Protection (IRPI) of the National Research Council (CNR), Italy
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The added value of satellite observations for modeling and monitoring floods and droughts: insights and open issues.
Christian Massari
Research Institute for Geo-Hydrological Protection (IRPI) of the National Research Council (CNR), Italy
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Multi-mission satellite observations for river discharge estimation.
Angelica Tarpanelli
Research Institute for Geo-Hydrological Protection (IRPI) of the National Research Council (CNR), Italy
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