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Forest disturbances in central Europe caused by fungal pests may result in widespread tree mortality. To assess the state of health and to detect disturbances of entire forest ecosystems, up-to-date knowledge of the tree species diversity is essential. The German state Mecklenburg–Vorpommern is severely affected by ash (Fraxinus excelsior) dieback caused by(More)
Knowledge about the land cover of large areas is important for monitoring and modeling of ecological and environmental processes and for land cover change detection. Considerable efforts have recently resulted in the development of global continuous fields for different land cover types at large spatial scales based on NOAA-AVHRR, SPOT-VEGETATION, and(More)
The objective of the present study was to develop a model to predict lichen species richness for six test sites in the Swiss Pre-Alps following a gradient of land use intensity combining airborne remote sensing data and regression models. This study ties in with the European Union Project BioAssess which aimed at quantifying patterns in biodiversity and(More)
Landscape structure was investigated on six test sites in Switzerland, selected along a land-use intensity gradient. The test areas were captured with remote sensing images on three spatial resolutions: 1) fused Landsat ETM-IRS and 2) Quickbird satellite images as well as 3) CIR aerial photos. Segmentation and fuzzy classification were implemented on the(More)
— The objective of this paper is to spatially predict tree/shrub genera using generalized linear models (GLM), color-infrared (CIR) aerial images, ADS40 images, digital surface models (DSM)s and field samples. The present study was carried out in the framework of the Swiss Mire Protection Program, where extraction of forest parameters for description of(More)
The objective of this paper is to present an approach for assessing tree growth and shrub encroachment between 1997 and 2002 in open mire land using CIR-aerial images, DSMs and LiDAR data. The study area is located in the Pre-alpine zone of Central Switzerland. The present study was carried out in the framework of the Swiss Mire Protection Program, where(More)
In this study, airborne laser scanning-based and traditional field-based survey methods for tree heights estimation are assessed by using one hundred felled trees as a reference dataset. Comparisons between remote sensing and field-based methods were applied to four circular permanent plots located in the western Italian Alps and established within the(More)
National Forest Inventories (NFI) are essential for countrywide estimations of a wide range of forest functions. Our research aim is to derive measurable forest features out of airborne image data by using automatic computer-vision based methods. This paper focuses on tree layer detection of high resolution ADS40 data for automation. Preliminary(More)