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Leaf area index (LAI) is a key variable for the understanding of several eco-physiological processes within a vegetation canopy. The LAI could thus provide vital information for the management of the environment and agricultural practices when estimated continuously over time and space thanks to remote sensing sensors. This study proposed a method to(More)
Until now, satellite data are only of limited use to Mid-European forest management. A major limitation is the low spatial resolution of the commonly available satellite sensors. In this paper, we present a specific data fusion approach (local correlation modelling) which can be used to produce multispectral images with high spatial resolution based on(More)
Many bio-geochemical processes in terrestrial ecosystems are related to foliar biochemicals in leaves and needles, specifically to leaf pigmentation and leaf nitrogen concentrations (Melillo et al. Developing methods to quantify pigment content by remote sensing could advance the understanding of photosynthetic processes and allow detection and monitoring(More)
In order to monitor dryness stress under controlled conditions, we set up an experiment with beech seedlings in plant pots and built a platform for observing the seedlings with field imaging spectroscopy. This serves as a preparation for multi-temporal hyperspectral air-and space-borne data expected to be available in coming years. Half of the trees were(More)
Due to high variation in forest communities, forest structure and the fragmentation of the forested area in Central Europe, satellite-based forest inventory methods have to meet particularly high-quality requirements. This study presents an innovative method to combine official forest inventory information at stand level with multidate satellite imagery(More)
Given the importance of forest ecosystems, the availability of reliable, spatially explicit information about the site-specific climate sensitivity of tree species is essential for implementing suitable adaptation strategies. In this study, airborne hyperspectral data were used to assess the response of deciduous species (dominated by European beech and(More)
The characterization of canopy structure is crucial for modeling eco-physiological processes. Two commonly used metrics for characterizing canopy structure are the gap fraction and the effective Plant Area Index (PAI e). Both have been successfully retrieved with terrestrial laser scanning. However, a systematic assessment of the influence of the laser scan(More)
The monitoring of soil salinity levels is necessary for the prevention and mitigation of land degradation in arid environments. To assess the potential of remote sensing in estimating and mapping soil salinity in the El-Tina Plain, Sinai, Egypt, two predictive models were constructed based on the measured soil electrical conductivity (ECe) and laboratory(More)
The availability of accurate and timely information on timber volume is important for supporting operational forest management. One option is to combine statistical concepts (e.g., small area estimates) with specifically designed terrestrial sampling strategies to provide estimations also on the level of administrative units such as forest districts. This(More)