ON-LINE GIS ANALYSIS AND IMAGE PROCESSING FOR GEOPORTAL KIELCE/POLAND DEVELOPMENT
GIS databases are widely available on the Internet, but mainly for visualization with limited functionality; very simple queries are possible i.e. attribute query, coordinate readout, line and area measurements or pathfinder. A little more complex analysis (i.e. buffering or intersection) are rare...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/197/2016/isprs-archives-XLI-B2-197-2016.pdf |
| Summary: | GIS databases are widely available on the Internet, but mainly for visualization with limited functionality; very simple queries are
possible i.e. attribute query, coordinate readout, line and area measurements or pathfinder. A little more complex analysis (i.e.
buffering or intersection) are rare offered. Paper aims at the concept of Geoportal functionality development in the field of GIS
analysis. Multi-Criteria Evaluation (MCE) is planned to be implemented in web application. OGC Service is used for data
acquisition from the server and results visualization. Advanced GIS analysis is planned in PostGIS and Python programming. In the
paper an example of MCE analysis basing on Geoportal Kielce is presented. Other field where Geoportal can be developed is
implementation of processing new available satellite images free of charge (Sentinel-2, Landsat 8, ASTER, WV-2). Now we are
witnessing a revolution in access to the satellite imagery without charge. This should result in an increase of interest in the use of
these data in various fields by a larger number of users, not necessarily specialists in remote sensing. Therefore, it seems reasonable
to expand the functionality of Internet's tools for data processing by non-specialists, by automating data collection and prepared
predefined analysis. |
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| ISSN: | 1682-1750 2194-9034 |