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
Estimating ground-level PM2.5 concentration in beijing usin..:
, In:
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
,
Li, Ying
;
Xue, Yong
;
Guang, Jie
... - p. 4870-4873 , 2017
Link:
https://doi.org/10.1109/IGARSS.2017.8128094
RT T1
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
: T1
Estimating ground-level PM2.5 concentration in beijing using BP ANN model from satellite data
UL https://suche.suub.uni-bremen.de/peid=ieee-8128094&Exemplar=1&LAN=DE A1 Li, Ying A1 Xue, Yong A1 Guang, Jie A1 Mei, Linlu A1 She, Lu A1 Fan, Cheng A1 Chen, Guili YR 2017 SN 2153-7003 K1 Atmospheric modeling K1 Artificial neural networks K1 Air pollution K1 Climate change K1 Aerosols K1 Satellite communication K1 Artificial Neural Network K1 Particulate Matter K1 Aerosol Optical Depth K1 Beijing SP 4870 OP 4873 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS.2017.8128094 DO https://doi.org/10.1109/IGARSS.2017.8128094 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)