Community Research and Development Information Service - CORDIS

Automated techniques for land cover mapping and land cover map updating

Methodologies for the development of fully automated techniques for land cover mapping and land cover map updating from satellite imagery have been investigating using:
state of the art approaches to automated image analysis;
new techniques for spatial generalization of image data to a desired map scale;
analysis and comparison of photo interpretation products, automated image products and associated nomenclature issues. Experiments were conducted on integrating data from the optical and near infrared part of the electromagnetic spectrum with radar data. Experiments were carried out on classification of integrated Landsat thematic mapper (TM) imagery and earth remote sensing satellite (ERS)-1 synthetic aperture radar SAR imagery in Portugal. In addition significant improvements were made in techniques for spatial analysis of satellite imagery with the eventual aim of automating the derivation of land cover vector maps from raster based satellite imagery. The generalization technique based on iterative majority filtering and iterative reduced class growing was perfected and demonstrated in a variety of experiments. Also, an improved segmentation technique was developed based on the integration of robust edge detection and edge following methods with a best merge region growth approach. A prototype computer system has been developed which is based on proprietary geographical information system (GIS) software, well adapted to the structure of the database. The system as a whole has functions for satellite image processing, processing of geographic data and on line updating of the existing database. Statistics on land cover changes will also be a feature.

Reported by

Joint Research Centre, Ispra
21020 Ispra
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