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Unlocking the full potential of Sentinel-1 for flood detection in arid regions

; ; ; ;

In
Remote sensing of environment 315, Seiten/Artikel-Nr.:114417

ImpressumAmsterdam [u.a.] : Elsevier Science

Umfang[1]-23

ISSN1879-0704

Online
DOI: 10.18154/RWTH-2024-10085
DOI: 10.1016/j.rse.2024.114417

URL: https://publications.rwth-aachen.de/record/995706/files/995706.pdf

Einrichtungen

  1. Juniorprofessur für Data-driven Computing in Civil Engineering (316830)


Thematische Einordnung (Klassifikation)
DDC: 550

OpenAccess:
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Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85205672329
WOS Core Collection: WOS:001333266500001
OpenAlex: W4403258661

Interne Identnummern
RWTH-2024-10085
Datensatz-ID: 995706

Beteiligte Länder
Germany, UK

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 10 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Faculty of Civil Engineering (Fac.3)
Publication server / Open Access
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314410
316830
 Record created 2024-10-28, last modified 2026-09-14
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