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Indicator-based assessment of the complex state of water use in the Aral Sea Basin

Netzband, Maik and Dokhovny, Viktor and Kenjabaev, Shavkat and Morper-Busch, Lucia and Muminov, Sherzod and Schönbrodt-Stitt, Sarah and Schorcht, Gunther and Solodky, Georgy and Sorokin, Anatoly and Sorokin, Denis and Stulina, Galina and Conrad, Christopher (2018) Indicator-based assessment of the complex state of water use in the Aral Sea Basin. International Symposium on Water and Land Resources in Central Asia, 2018-10-09 - 2018-10-11, Almaty, Kasachstan.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/126779/
Document Type:Conference or Workshop Item (Speech)
Title:Indicator-based assessment of the complex state of water use in the Aral Sea Basin
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Netzband, MaikUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dokhovny, ViktorUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kenjabaev, ShavkatUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Morper-Busch, LuciaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Muminov, SherzodUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schönbrodt-Stitt, SarahUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schorcht, Gunthergreen spinUNSPECIFIEDUNSPECIFIED
Solodky, GeorgyUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sorokin, AnatolyUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sorokin, DenisUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Stulina, GalinaSIC ICWC, Tashkent, UzbekistanUNSPECIFIEDUNSPECIFIED
Conrad, ChristopherUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2018
Refereed publication:No
Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:water use, aral sea basin
Event Title:International Symposium on Water and Land Resources in Central Asia
Event Location:Almaty, Kasachstan
Event Type:international Conference
Event Start Date:9 October 2018
Event End Date:11 October 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Geoscientific remote sensing and GIS methods
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Wöhrl, Monika
Deposited On:13 Mar 2019 09:31
Last Modified:24 Apr 2024 20:30

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