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
Improvement of the predictive performance of landslide mapp..:
Riaz, Muhammad Tayyib
;
Basharat, Muhammad
;
Pham, Quoc Bao
...
Geocarto International. 37 (2022) 26 - p. 12294-12337 , 2022
Link:
https://doi.org/10.1080/10106049.2022.2066202
RT Journal T1
Improvement of the predictive performance of landslide mapping models in mountainous terrains using cluster sampling
UL https://suche.suub.uni-bremen.de/peid=cr-10.1080_10106049.2022.2066202&Exemplar=1&LAN=DE A1 Riaz, Muhammad Tayyib A1 Basharat, Muhammad A1 Pham, Quoc Bao A1 Sarfraz, Yasir A1 Shahzad, Amir A1 Ahmed, Khawaja Shoaib A1 Ikram, Nawaz A1 Waseem, Muhammad Hammad PB Informa UK Limited YR 2022 SN 1010-6049 SN 1752-0762 JF Geocarto International VO 37 IS 26 SP 12294 OP 12337 LK http://dx.doi.org/https://doi.org/10.1080/10106049.2022.2066202 DO https://doi.org/10.1080/10106049.2022.2066202 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)