João Carlos da Costa Catalão Fernandes
AuthID: R-000-6TY
21
TITLE: Intertidal bathymetry extraction with multispectral images: A logistic regression approach
AUTHORS: Bué, I; Catalão, J; Semedo, A;
PUBLISHED: 2020, SOURCE: Remote Sensing, VOLUME: 12, ISSUE: 8
AUTHORS: Bué, I; Catalão, J; Semedo, A;
PUBLISHED: 2020, SOURCE: Remote Sensing, VOLUME: 12, ISSUE: 8
22
TITLE: Evaluation of hf radar wave measurements in iberian peninsula by comparison with satellite altimetry and in situ wave buoy observations
AUTHORS: Bué, I; Semedo, Á; Catalão, J;
PUBLISHED: 2020, SOURCE: Remote Sensing, VOLUME: 12, ISSUE: 21
AUTHORS: Bué, I; Semedo, Á; Catalão, J;
PUBLISHED: 2020, SOURCE: Remote Sensing, VOLUME: 12, ISSUE: 21
23
TITLE: On the estimation of temporal changes of snow water equivalent by spaceborne SAR interferometry: a new application for the Sentinel-1 mission
AUTHORS: Conde, V; Nico, G; Mateus, P ; Catalao, J; Kontu, A; Gritsevich, M;
PUBLISHED: 2019, SOURCE: JOURNAL OF HYDROLOGY AND HYDROMECHANICS, VOLUME: 67, ISSUE: 1
AUTHORS: Conde, V; Nico, G; Mateus, P ; Catalao, J; Kontu, A; Gritsevich, M;
PUBLISHED: 2019, SOURCE: JOURNAL OF HYDROLOGY AND HYDROMECHANICS, VOLUME: 67, ISSUE: 1
24
TITLE: InSAR Meteorology: High-Resolution Geodetic Data Can Increase Atmospheric Predictability Full Text
AUTHORS: Miranda, PMA; Mateus, P ; Nico, G; Catalao, J; Tome, R; Nogueira, M;
PUBLISHED: 2019, SOURCE: GEOPHYSICAL RESEARCH LETTERS, VOLUME: 46, ISSUE: 5
AUTHORS: Miranda, PMA; Mateus, P ; Nico, G; Catalao, J; Tome, R; Nogueira, M;
PUBLISHED: 2019, SOURCE: GEOPHYSICAL RESEARCH LETTERS, VOLUME: 46, ISSUE: 5
25
TITLE: Neural network approach to forecast hourly intense rainfall using GNSS precipitable water vapor and meteorological sensors
AUTHORS: Benevides, P; Catalao, J; Nico, G;
PUBLISHED: 2019, SOURCE: Remote Sensing, VOLUME: 11, ISSUE: 8
AUTHORS: Benevides, P; Catalao, J; Nico, G;
PUBLISHED: 2019, SOURCE: Remote Sensing, VOLUME: 11, ISSUE: 8
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TITLE: Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors
AUTHORS: Benevides, P; Catalao, J; Nico, G;
PUBLISHED: 2019, SOURCE: REMOTE SENSING, VOLUME: 11, ISSUE: 8
AUTHORS: Benevides, P; Catalao, J; Nico, G;
PUBLISHED: 2019, SOURCE: REMOTE SENSING, VOLUME: 11, ISSUE: 8
27
TITLE: CROP DATA RETRIEVAL USING EARTH OBSERVATION DATA TO SUPPORT AGRICULTURAL WATER MANAGEMENT
AUTHORS: Rolim, J; Navarro, A; Vilar, P; Saraiva, C; Catalao, J;
PUBLISHED: 2019, SOURCE: ENGENHARIA AGRICOLA, VOLUME: 39, ISSUE: 3
AUTHORS: Rolim, J; Navarro, A; Vilar, P; Saraiva, C; Catalao, J;
PUBLISHED: 2019, SOURCE: ENGENHARIA AGRICOLA, VOLUME: 39, ISSUE: 3
28
TITLE: Assessing the Use of Sentinel-2 Time Series Data for Monitoring Cork Oak Decline in Portugal
AUTHORS: Navarro, A; Catalao, J; Calvao, J;
PUBLISHED: 2019, SOURCE: REMOTE SENSING, VOLUME: 11, ISSUE: 21
AUTHORS: Navarro, A; Catalao, J; Calvao, J;
PUBLISHED: 2019, SOURCE: REMOTE SENSING, VOLUME: 11, ISSUE: 21
29
TITLE: COMPARISON OF IN-FIELD MEASUREMENTS AND INSAR ESTIMATES OF SOIL MOISTURE: INVERSION STRATEGIES OF INTERFEROMETRIC DATA
AUTHORS: Conde, V; Nico, G; Catalao, J;
PUBLISHED: 2019, SOURCE: IEEE International Geoscience and Remote Sensing Symposium (IGARSS) in 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)
AUTHORS: Conde, V; Nico, G; Catalao, J;
PUBLISHED: 2019, SOURCE: IEEE International Geoscience and Remote Sensing Symposium (IGARSS) in 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)
30
TITLE: Multi-temporal Crop classification with machine learning techniques
AUTHORS: Mira, NC; Catalao, J; Nico, G;
PUBLISHED: 2019, SOURCE: Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI held at SPIE Remote Sensing in REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XXI, VOLUME: 11149
AUTHORS: Mira, NC; Catalao, J; Nico, G;
PUBLISHED: 2019, SOURCE: Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI held at SPIE Remote Sensing in REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XXI, VOLUME: 11149
