IMPLEMENTATION OF AN AGRICULTURAL ENVIRONMENTAL INFORMATION SYSTEM (AEIS) FOR THE SANJIANG PLAIN, NE-CHINA
The Sino-German Project between the China Agricultural University and the University of Cologne, Germany, focuses on regional agro-ecosystem modelling. One major focus of the cooperation activity is the establishment of joint rice field experiment research in Jiansanjiang, located in the Sanjiang Pl...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2012-07-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B8/375/2012/isprsarchives-XXXIX-B8-375-2012.pdf |
| Summary: | The Sino-German Project between the China Agricultural University and the University of Cologne, Germany, focuses on regional
agro-ecosystem modelling. One major focus of the cooperation activity is the establishment of joint rice field experiment research in
Jiansanjiang, located in the Sanjiang Plain (Heilongjiang Province, north-eastern part of China), to investigate the different
agricultural practices and their impact on yield and environment. An additional task is to set-up an Agricultural Environmental
Information System (AEIS) for the Sanjiang Plain (SJP), which covers more than 100 000 km<sup>2</sup>. Research groups from Geography
(e.g. GIS & Remote Sensing) and Plant Nutrition (e.g. Precision Agriculture) are involved in the project. The major aim of the AEIS
for the SJP is to provide information about (i) agriculture in the region, (ii) the impact of agricultural practices on the environment,
and (iii) simulation scenarios for sustainable strategies. Consequently, the AEIS for the SJP provides information for decision support
and therefore could be regarded as a Spatial Decision Support System (SDSS), too. The investigation of agricultural and
environmental issues has a spatial context, which requires the management, handling, and analysis of spatial data. The use of GIS
enables the capture, storage, analysis and presentation of spatial data. Therefore, GIS is the major tool for the set-up of the AEIS for
the SJP. This contribution presents the results of linking agricultural statistics with GIS to provide information about agriculture in
the SJP and discusses the benefits of this method as well as the integration of methods to produce new data. |
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| ISSN: | 1682-1750 2194-9034 |