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
All-Day Cloud Classification via a Random Forest Algorithm ..:
Yuanmou Wang
;
Chunmei Hu
;
Zhi Ding
..
https://www.mdpi.com/2073-4433/14/9/1410. , 2023
Link:
https://doi.org/10.3390/atmos14091410
RT Journal T1
All-Day Cloud Classification via a Random Forest Algorithm Based on Satellite Data from CloudSat and Himawari-8
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:b6c176d5d3bb4f42acc6f89e9c5d8177&Exemplar=1&LAN=DE A1 Yuanmou Wang A1 Chunmei Hu A1 Zhi Ding A1 Zhiyi Wang A1 Xuguang Tang PB MDPI AG YR 2023 K1 cloud classification K1 random forest K1 CloudSat satellite K1 Himawari-8 satellite K1 Typhoon Muifa (2022) K1 Meteorology. Climatology K1 QC851-999 JF https://www.mdpi.com/2073-4433/14/9/1410 LK http://dx.doi.org/https://doi.org/10.3390/atmos14091410 DO https://doi.org/10.3390/atmos14091410 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)