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
Exploiting Time Series of Sentinel-1 and Sentinel-2 Imagery..:
Laura Stendardi
;
Stein Rune Karlsen
;
Georg Niedrist
...
https://dx.doi.org/10.3390/rs11050542. , 2019
Link:
https://doi.org/10.3390/rs11050542
RT Journal T1
Exploiting Time Series of Sentinel-1 and Sentinel-2 Imagery to Detect Meadow Phenology in Mountain Regions
UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_2072-4292_11_5_542_&Exemplar=1&LAN=DE A1 Laura Stendardi A1 Stein Rune Karlsen A1 Georg Niedrist A1 Renato Gerdol A1 Marc Zebisch A1 Mattia Rossi A1 Claudia Notarnicola PB Multidisciplinary Digital Publishing Institute YR 2019 K1 Sentinel-1 and Sentinel-2 K1 time series analysis K1 start of season K1 harvest K1 mountain region JF https://dx.doi.org/10.3390/rs11050542 LK http://dx.doi.org/https://doi.org/10.3390/rs11050542 DO https://doi.org/10.3390/rs11050542 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)