1
TITLE: Precipitable water vapor from Sentinel-1 improves the forecast of extratropical storm Barbara
AUTHORS: Mateus, Pedro; Nico, Giovanni; Catalao, Joao; Miranda, Pedro M. A.;
PUBLISHED: 2024, SOURCE: QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, VOLUME: 150, ISSUE: 761
INDEXED IN: WOS CrossRef
IN MY: ORCID
2
TITLE: On the Mitigation of Phase Bias in SAR Interferometry Applications: A New Model Based on NDWI
AUTHORS: Mira, Nuno Cirne; Catalao, Joao; Nico, Giovanni;
PUBLISHED: 2024, SOURCE: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, VOLUME: 17
INDEXED IN: WOS CrossRef
IN MY: ORCID
3
TITLE: Improving the Accuracy and Spatial Resolution of ERA5 Precipitable Water Vapor Using InSAR Data
AUTHORS: Mateus, Pedro; Catalao, Joao; Nico, Giovanni;
PUBLISHED: 2024, SOURCE: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOLUME: 21
INDEXED IN: WOS CrossRef
IN MY: ORCID
6
TITLE: On the Relationship between C-Band Decorrelation Phase and the Vegetation Water Content Temporal Change
AUTHORS: Nuno Cirne Mira; João Catalão; Giovanni Nico;
PUBLISHED: 2024, SOURCE: 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 in International Geoscience and Remote Sensing Symposium (IGARSS)
INDEXED IN: Scopus
7
TITLE: Detecting Deforestation Using Logistic Analysis and Sentinel-1 Multitemporal Backscatter Data
AUTHORS: Dascălu, A; Catalão, J; Navarro, A;
PUBLISHED: 2023, SOURCE: Remote Sensing, VOLUME: 15, ISSUE: 2
INDEXED IN: Scopus CrossRef: 3
IN MY: ORCID
8
TITLE: Detecting Deforestation Using Logistic Analysis and Sentinel-1 Multitemporal Backscatter Data
AUTHORS: Dascalu, Adrian; Catalao, Joao; Navarro, Ana;
PUBLISHED: 2023, SOURCE: REMOTE SENSING, VOLUME: 15, ISSUE: 2
INDEXED IN: WOS
IN MY: ORCID
9
TITLE: The potential of SAR data for detecting deforestation in mountainous and sparse forested areas: the case of Northern Portugal
AUTHORS: Navarro, A.; Castro, Tomas; Sa, Joao; Catalao, Joao; Benevides, Pedro; Costa, Hugo; Caetano, Mario;
PUBLISHED: 2023, SOURCE: Conference on Microwave Remote Sensing - Data Processing and Applications II in MICROWAVE REMOTE SENSING: DATA PROCESSING AND APPLICATIONS II, VOLUME: 12732
INDEXED IN: Scopus WOS CrossRef Handle
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10
TITLE: Soil Moisture Estimation Using Atmospherically Corrected C-Band InSAR Data  Full Text
AUTHORS: Mira, NC; Catalao, J; Nico, G; Mateus, P ;
PUBLISHED: 2022, SOURCE: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOLUME: 60
INDEXED IN: Scopus WOS CrossRef: 1 Unpaywall
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