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Site-specific cotton yield estimation by multi-temporal remote sensing data and agro-meteorological model applied to the Khorezm region, Aral Sea Basin

Rücker, Gerd and Shi, Zhou and Conrad, Christopher and Martius, Christopher and Lamers, John and Strunz, Günter and Vlek, Paul and Dech, Stefan (2005) Site-specific cotton yield estimation by multi-temporal remote sensing data and agro-meteorological model applied to the Khorezm region, Aral Sea Basin. Aral Sea Basin Water and Food Conference – Managing Water and Food Quality and Security in Central Asia, Almaty, Kazakhstan. (Unpublished)

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Item URL in elib:https://elib.dlr.de/19772/
Document Type:Conference or Workshop Item (UNSPECIFIED)
Title:Site-specific cotton yield estimation by multi-temporal remote sensing data and agro-meteorological model applied to the Khorezm region, Aral Sea Basin
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Rücker, GerdUNSPECIFIEDUNSPECIFIED
Shi, ZhouInstitute of Agricultural Remote Sensing and Information System, Zhejiang University, Hangzhou 310029 ChinaUNSPECIFIED
Conrad, ChristopherUNSPECIFIEDUNSPECIFIED
Martius, ChristopherCenter for Development Research (ZEF)UNSPECIFIED
Lamers, JohnCenter for Development Research (ZEF)UNSPECIFIED
Strunz, GünterUNSPECIFIEDUNSPECIFIED
Vlek, PaulCenter for Development Research (ZEF)UNSPECIFIED
Dech, StefanUNSPECIFIEDUNSPECIFIED
Date:2005
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Unpublished
Keywords:yield estimation, spatial modelling, crop forecasting, multi-temporal satellite data, agriculture, Central Asia, Uzbekistan, Monteith
Event Title:Aral Sea Basin Water and Food Conference – Managing Water and Food Quality and Security in Central Asia
Event Location:Almaty, Kazakhstan
Event Type:international Conference
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Environment and Security > Environment and Geoinformation
Deposited By: Rücker, Dr.rer.nat. Gerd
Deposited On:10 Jan 2006
Last Modified:27 Apr 2009 04:43

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