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High spatial resolution data obtained by GNSS and RPAS to assess islets flood-prone scenarios for 2100

Bibliographic Data

ID21449906
AuthorsRodrigo Mikosz Gonçalves (0000-0002-5066-1910, Universidade Federal de Pernambuco, corresponding author), Júlia Isabel Pontes (Universidade Federal de Pernambuco), Flávia Helena Manhães Vasconcellos (0000-0002-3053-1924, Universidade Federal de Pernambuco), Lígia Albuquerque de Alcântara Ferreira (Universidade Federal de Pernambuco), Heithor Alexandre De Araújo Queiroz (0000-0002-9537-9847, Instituto Federal de Educação, Ciência e Tecnologia Baiano), Paulo Henrique Gomes de Oliveira Sousa (0000-0003-4544-6017, Universidade Federal do Ceará)
Year2023
Volume150
Pages102817
Publication date2023-01-01
Open AccessYes
TypeARTICLE
VenueApplied Geography (JOURNAL)
Journal identifiersISSN: 0143-6228 • E-ISSN: 1873-7730
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.apgeog.2022.102817
OpenAlexW4310121352
LanguageEN
References cited57

Cartography · Data set · Environmental resource management · Flood myth · Geography · Global Positioning System · GNSS applications · Physical geography · Remote sensing · Scale (ratio) · Coastal and Marine Dynamics · Computer Science · Environmental Science · Flood Risk Assessment and Management · Tropical and Extratropical Cyclones Research

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Highly citedNo

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