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Development of a satellite-based multi-scale land use classification system for land and water management in Uzbekistan and Kazakhstan

Löw, Fabian and Michel, Ulrich and Dech, Stefan and Conrad, Christopher (2011) Development of a satellite-based multi-scale land use classification system for land and water management in Uzbekistan and Kazakhstan. In: Proceedings of SPIE, 8181. SPIE Remote Sensing 2011, 2011-09-19 - 2011-09-22, Prague, Czech Republic. doi: 10.1117/12.898038. ISBN 9780819488084.

Full text not available from this repository.

Official URL: http://spie.org/x648.html?product_id=898038

Abstract

Satellite remote sensing is an invaluable tool to assess the status and changes of irrigated agricultural systems. Agricultural sites are among the most heterogeneous sites at the landscape level: spatial pattern of agricultural fields, within-field heterogeneity, crop phenology and crop management practices vary significantly. Highly dynamic objects (crops and crop rotations) result in large temporal variability of surface spatial heterogeneity. Technological advances have opened the possibility to monitor agricultural sites combining satellite images with both high spatial resolution and high revisit frequency, which could overcome these constraints. Yet depending on the field sizes and crop phenology of the agricultural system observed, requisites in terms of the instrument´s spatial resolution and optimal timing of crop observation will be different. The overall goal is to quantitatively define region specific satellite observation support requirements in order to perform land use classification at the field basis. The main aspect studied here is the influence of spatial resolution on the accuracy of land use classification over a variety of different irrigated agricultural landscapes. This will guide in identifying an appropriate spatial resolution and input parameters for classification. The study will be performed over distinct locations in irrigated agro-ecosystems in Central Asia, where reliable information on agricultural crops and crop rotations is needed for sustainable land and water management.

Item URL in elib:https://elib.dlr.de/71371/
Document Type:Conference or Workshop Item (Poster)
Title:Development of a satellite-based multi-scale land use classification system for land and water management in Uzbekistan and Kazakhstan
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Löw, FabianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Michel, UlrichUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dech, StefanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Conrad, ChristopherUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2011
Journal or Publication Title:Proceedings of SPIE
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:8181
DOI:10.1117/12.898038
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Michel, UlrichUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Civco, DanielUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Series Name:Earth Resources and Environmental Remote Sensing/GIS Applications II
ISBN:9780819488084
Status:Published
Keywords:Remote Sensing, Central Asia, Rapid Eye, Accuracy, Multiscale, Geostatistics
Event Title:SPIE Remote Sensing 2011
Event Location:Prague, Czech Republic
Event Type:international Conference
Event Start Date:19 September 2011
Event End Date:22 September 2011
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
Deposited By: Kübert, Carina
Deposited On:02 Nov 2011 10:47
Last Modified:11 Nov 2024 10:08

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