Ruedi Boesch

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Forest boundary delineation is one of the key issues of forest management for Swiss National Forest Inventory (NFI). The proposed approach in this paper focuses on the delineation of forest boundaries with special emphasis on spatially contiguous and reproducible results by using both aerial images and LIDAR data. The used Green Vegetation Index (GVI) is(More)
Uncertainty research represents a research stream of high interest within the community of geographical information science. Its elements, terminology and typology are still under strong discussion and adopted methods for analysis are currently under intensive development. This paper presents a conceptual framework for systematic investigation of(More)
Forest boundary is one of the important parameters in Swiss National Forest Inventory (NFI). It is mainly delineated by aerial photo interpretation according to the defined “Forest/Non-forest decision” rules at each sample plot. However, it is not suitable for local assessment of forest stands with such kind of coarse grid sampling design. This paper(More)
Tree cover is one of the important forest parameters in SWISS National Forest Inventory (NFI). Therefore, automatic tree cover detection is of practical interest. However, it difficult to remover shadow areas because of some effects related to ADS40 data processing of Digital Surface Model (DSM) by NGATE. This paper proposes an automatic and flexible(More)
Image segmentation is an important component in object based forest management with increasing high resolution remote sensing data such as ADS40 images. However, evaluation of segmentation algorithms has been largely subjective. To be able to evaluate image segmentation methods quantitatively and objectively, we applied a new error measurement which(More)