Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Tese
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Diseño de arquitecturas de aprendizaje profundo para la determinación de cubiertas sobre el territorio y el estudio de series temporalesGarcía Rodríguez, CarlosUniversitat de Barcelona 2023Texto completo disponível |
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2 |
Material Type: Tese
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Mapping small-scale tropical forest disturbances using SAR and optical satellite imageryAquino, ChiaraThe University of Edinburgh 2023Texto completo disponível |
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3 |
Material Type: Tese
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Diseño de arquitecturas de aprendizaje profundo para la determinación de cubiertas sobre el territorio y el estudio de series temporalesGarcía Rodríguez, CarlosUniversitat de Barcelona 2023Texto completo disponível |
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4 |
Material Type: Tese
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Applying Remote Sensing to Assess Habitat Viability for the Western Monarch Butterfly (Danaus plexippus plexippus) in CaliforniaCampbell, HooiSuan2022Texto completo disponível |
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5 |
Material Type: Tese
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Improvement of End-to-end Simulator for spaceborne GNSS-R InstrumentMuro Celma, JorgeUniversitat Politècnica de Catalunya 2019Texto completo disponível |
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6 |
Material Type: Tese
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Implementation and validation of a tool for optimization of wavelength selection for hyperspectral imaging-based on user needs and mission requirementsCasanovas Ventura, MarcUniversitat Politècnica de Catalunya 2019Texto completo disponível |
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7 |
Material Type: Tese
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Remote Sensing of Coastal WatersNesse, Sandra Susann SolheimUiT The Arctic University of Norway 2019Texto completo disponível |
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8 |
Material Type: Tese
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Spring wheat trait prediction using combined multi-environment, weather and multispectral timeseries UAV dataIjaz, Muhammad FahadNorwegian University of Life Sciences, Ås 2021Texto completo disponível |
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9 |
Material Type: Tese
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Análisis de la sostenibilidad en Bolivia a partir de imágenes satelitales nocturnasLuizaga Velasco, Claudia GiovanaUniversitat Politècnica de Catalunya 2018Texto completo disponível |
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10 |
Material Type: Tese
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Missing methane: Machine learning for satellite remote sensing of methaneRoberts, ClaytonUniversity of Cambridge 2023Texto completo disponível |