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
Agricultural cropland extent and areas of South Asia derive..:
Gumma, Murali Krishna
;
Thenkabail, Prasad S.
;
Teluguntla, Pardhasaradhi G.
...
GIScience & Remote Sensing. 57 (2019) 3 - p. 302-322 , 2019
Link:
https://doi.org/10.1080/15481603.2019.1690780
RT Journal T1
Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud
UL https://suche.suub.uni-bremen.de/peid=cr-10.1080_15481603.2019.1690780&Exemplar=1&LAN=DE A1 Gumma, Murali Krishna A1 Thenkabail, Prasad S. A1 Teluguntla, Pardhasaradhi G. A1 Oliphant, Adam A1 Xiong, Jun A1 Giri, Chandra A1 Pyla, Vineetha A1 Dixit, Sreenath A1 Whitbread, Anthony M PB Informa UK Limited YR 2019 SN 1548-1603 SN 1943-7226 JF GIScience & Remote Sensing VO 57 IS 3 SP 302 OP 322 LK http://dx.doi.org/https://doi.org/10.1080/15481603.2019.1690780 DO https://doi.org/10.1080/15481603.2019.1690780 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)