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
Towards a PS-InSAR Based Prediction Model for Building Coll..:
Bahaa Mohamadi
;
Timo Balz
;
Ali Younes
Environmental Remote Sensing. , 2020
Link:
https://doi.org/10.3390/rs12203307
RT Journal T1
Towards a PS-InSAR Based Prediction Model for Building Collapse: Spatiotemporal Patterns of Vertical Surface Motion in Collapsed Building Areas—Case Study of Alexandria, Egypt
UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_2072-4292_12_20_3307_&Exemplar=1&LAN=DE A1 Bahaa Mohamadi A1 Timo Balz A1 Ali Younes PB Multidisciplinary Digital Publishing Institute YR 2020 K1 building collapse K1 land subsidence K1 permanent scatterers interferometry (PSI) K1 Sentinel-1 K1 spatiotemporal data mining K1 surface deformation JF Environmental Remote Sensing LK http://dx.doi.org/https://doi.org/10.3390/rs12203307 DO https://doi.org/10.3390/rs12203307 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)