I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Airborne Radiometric Surveys and Machine Learning Algorithm..:
Maino, Andrea
;
Alberi, Matteo
;
Anceschi, Emiliano
...
Remote Sensing. 14 (2022) 15 - p. 3814 , 2022
Link:
https://doi.org/10.3390/rs14153814
RT Journal T1
Airborne Radiometric Surveys and Machine Learning Algorithms for Revealing Soil Texture
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_rs14153814&Exemplar=1&LAN=DE A1 Maino, Andrea A1 Alberi, Matteo A1 Anceschi, Emiliano A1 Chiarelli, Enrico A1 Cicala, Luca A1 Colonna, Tommaso A1 De Cesare, Mario A1 Guastaldi, Enrico A1 Lopane, Nicola A1 Mantovani, Fabio A1 Marcialis, Maurizio A1 Martini, Nicola A1 Montuschi, Michele A1 Piccioli, Silvia A1 Raptis, Kassandra Giulia Cristina A1 Russo, Antonio A1 Semenza, Filippo A1 Strati, Virginia PB MDPI AG YR 2022 SN 2072-4292 JF Remote Sensing VO 14 IS 15 SP 3814 LK http://dx.doi.org/https://doi.org/10.3390/rs14153814 DO https://doi.org/10.3390/rs14153814 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)