GEOinfo Land-cover for Lower Austria

Case Study: The Department of Surveying and Geo Information of the State Government of Lower Austria (GEOinfo) is currently developing a land-use and land-cover model for more than 20,000 km2 of territory, encompassing bodies of water, forests, urban and rural areas. Utilizing a beta version of Definiens eCognition 8, the State Government developed a software application to detect and quantify changes in forests, buildings, field and water areas from airborne Light Detection and Ranging (LiDAR) data and orthophotos.

Document Type: 
Case Study

Comparison of Pixel-Based and Object-Oriented Classification Approaches using Landsat-7 ETM sPECTRAL Bands

In this study, land cover types in Zonguldak test area were analysed on the basis of the classification results acquired using the pixelbased and object-oriented image analysis approaches. Landsat-7 ETM with 6 spectral bands was used to carry out the image classification and ground truth data were collected from the available maps, aerial photographs, personal knowledge and communication with the local people.

Document Type: 
Scientific Paper

A Comparison of Segmentation Programs for High Resolution Remote Sensing Data

Methods of image segmentation become more and more important in the field of remote sensing image analysis – in particular due to the increasing spatial resolution of imagery. The most important factor for using segmentation techniques is segmentation quality. Thus, a method for evaluating segmentation quality is presented and used to compare results of presently available segmentation programs. Firstly, an overview of the software used is given. Moreover the quality of the individual segmentation results is evaluated based on pan-sharpened multi-spectral IKONOS data.

Document Type: 
Scientific Paper

Application of Hyperion Data to Agricultural Land Classification and Vegetation Properties Estimation in Switzerland

On August 18, 2002, the Hyperion hyperspectral imager onboard the EO-1 platform recorded data over an intensively used agricultural area in north western Switzerland, the Limpach Valley. The sensor’s 198 spectral bands between 400 and 2500 nm (Level 1B1) and a spatial resolution of 30 m bear the potential for both a detailed land use classification and an accurate estimation of biophysical and biochemical properties of heterogeneously vegetated areas.

Document Type: 
Scientific Paper

Toward a Framework for Change Detection Based on Image Objects

With the advent of high resolution satellite imagery and airborne digital camera approached that include contextual information are more commonly utilized. One way to include spatial dimensions in image analysis is to identify relatively homogeneous regions and to treat them as objects.

Document Type: 
Scientific Paper

A Comparison of Object-Oriented and Pixel-Based Classification Methods for Mapping Land Cover in Northern Australia

The development of robust object-oriented classification methods suitable for medium to high resolution satellite imagery provides a valid alternative to ‘traditional’ pixel-based methods. This paper compares the results of an object-oriented classification to a supervised pixel-based classification for mapping land cover in the tropical north of the Northern Territory. The object-oriented approach involved the segmentation of image data into objects at multiple scale levels. Objects were assigned class rules using spectral signatures, shape and contextual relationships.

Document Type: 
Scientific Paper

Rule-Based Classification of SPOT Imagery using Object-Oriented Approach for Detailed Land Cover Mapping

Preparation of land cover / land use maps for large areas, based on automatic classification of high-resolution satellite data is the objective of many application programmes, e.g. GSE Land Monitoring Services. The crucial point for this kind of activity is to apply optimal classification approach, which will ensure high class recognition accuracy and classification repeatability.

Document Type: 
Scientific Paper