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Determining the foliar N: P ratio provides a tool for understanding nutrient limitation on plant production and consequently for the feeding patterns of herbivores. In order to understand the nutrient limitation at landscape scale, remote sensing techniques offer that opportunity. The objective of this study is to investigate the utility of in situ(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)
Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy. Int. Article history: Available online xxx Keywords: Leaf area index Radiative transfer model Look-up table Narrow band vegetation index Predictive equation Sample size a b s t r a c t Fine scale maps of vegetation biophysical(More)
Keywords: Crop grow modelling Data assimilation Particle filter APSIM Remote sensing RapidEye Maize a b s t r a c t Complex crop growth models (CGM) require a large number of input parameters, which can cause large errors if they are uncertain. Furthermore, they often lack spatial information. The coupling of a CGM with a radiative transfer model offers the(More)
Leaf water content determines plant health, vitality, photosynthetic efficiency and is an important indicator of drought assessment. The retrieval of leaf water content from the visible to shortwave infrared spectra is well known. Here for the first time, we estimated leaf water content from the mid to thermal infrared (2.5-14.0 μm) spectra, based on(More)
Recent studies revealed that plant-soil biotic interactions may cause changes in above-ground plant chemistry. It would be a new step in below-ground-above-ground interaction research if such above-ground chemistry changes could be efficiently detected. Here we test how hyperspectral reflectance may be used to study such plant-soil biotic interactions in a(More)
Genetic variation between various plant species determines differences in their physio-chemical makeup and ultimately in their hyperspectral emissivity signatures. The hyperspectral emissivity signatures, on the one hand, account for the subtle physio-chemical changes in the vegetation, but on the other hand, highlight the problem of high dimensionality.(More)