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From remote sensing to web mapping - integrated geoinformation for land use monitoring in Central Asia

Dimov, Dimo and Morper-Busch, Lucia and Schönbrodt-Stitt, Sarah and Conrad, Christopher (2017) From remote sensing to web mapping - integrated geoinformation for land use monitoring in Central Asia. UFZ & DLR: Workshop on Earth Observation Data, 9.-10. März 2017, Leipzig.

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Abstract

Irrigation agriculture is of a major socio-economic importance for the Central Asian countries Afghanistan, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan. Remote agricultural areas, the lack of harmonized agricultural statistics, the intensification of agriculture combined with water scarcity as well as unsustainable water use management make the integrated and combined use of Remote Sensing and Web GIS a very valuable technique for crop monitoring and to support the mitigation of those problems. Thus, within the frame of the Central Asian Water project (CAWa), a web-based mapping platform, the Water Use Efficiency Monitor in Central Asia (WUEMoCA), is being currently developed. It is comprised of a coherent and automated interdisciplinary processing chain starting from the automated download of Terra MODIS data and the computation of NDVI time series. A subsequent land use classification and crop yield estimation via machine learning algorithms for image processing provides a retrospective crop inventory for all years between 2000 and 2016 so far. Parallely, the near-real time early estimation of the current agricultural vegetation condition provides information about phenological anomalies and drought-affected regions. The systematic storage of these large amounts of processed multitemporal MODIS data requires the deployment of a spatial database with supportive raster analysis functionalities such as PostgreSQL/PostGIS in which all results are spatially aggregated on administrative levels such as water use associations, state districts and state provinces. Morover, the connectivity between a GeoServer and PostGIS is natively integrated, allowing for the automatic creation of Web Map Services (WMS) directly from the database. Interactive maps are visualized in a client application based on the mapping framework OpenLayers which is tailored for the specific needs of Central Asian water management. This makes a web-based presentation of all results possible. At last, the use of a PostGIS database also provides the possibility to establish a land use indicator system for all administrative levels with secondary information such as land use coefficient, crop diversity, land use intensity and irrigated crop acreage. The CAWa project is a part of the Berlin Process and funded by the German Federal Foreign Office.

Item URL in elib:https://elib.dlr.de/111945/
Document Type:Conference or Workshop Item (Poster)
Title:From remote sensing to web mapping - integrated geoinformation for land use monitoring in Central Asia
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dimov, Dimodimo.dimov (at) uni-wuerzburg.deUNSPECIFIED
Morper-Busch, Lucialucia.morper-busch (at) uni-wuerzburg.deUNSPECIFIED
Schönbrodt-Stitt, Sarahsarah.schoenbrodt-stitt (at) uni-wuerzburg.deUNSPECIFIED
Conrad, Christopherchristopher.conrad (at) uni-wuerzburg.deUNSPECIFIED
Date:2017
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:p. 1
Status:Published
Keywords:Crop Monitoring, Web Mapping, PostGIS, Land Use
Event Title:UFZ & DLR: Workshop on Earth Observation Data
Event Location:Leipzig
Event Type:Workshop
Event Dates:9.-10. März 2017
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Wöhrl, Monika
Deposited On:23 Oct 2017 12:14
Last Modified:31 Jul 2019 20:09

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