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AI in soil moisture remote sensing

; ; ; ; ; ;

In
International journal of applied earth observation and geoinformation 146, Seiten/Artikel-Nr.:105011

ImpressumAmsterdam [u.a.] : Elsevier Science

Umfang[1]-23

ISSN1872-826X

Received 2 October 2024, Revised 14 November 2025, Accepted 6 December 2025, Available online 11 December 2025

Online
DOI: 10.1016/j.jag.2025.105011

DOI: 10.18154/RWTH-2026-00129
URL: http://publications.rwth-aachen.de/record/1024524/files/1024524.pdf

Einrichtungen

  1. Juniorprofessur für Data-driven Computing in Civil Engineering (316830)
  2. Lehrstuhl und Institut für Wasserbau und Wasserwirtschaft (314410)


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-s2.0-105024595970
WOS Core Collection: WOS:001639958200001

Interne Identnummern
RWTH-2026-00129
Datensatz-ID: 1024524

Beteiligte Länder
Germany, Italy, Peoples R China, USA

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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314410
316830
 Record created 2026-01-05, last modified 2026-01-08
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