The acquisition of information about growing stock is a fundamental step in the framework of forest management planning and scenario modeling, besides being essential for assessing the amount of carbon stored within forest ecosystems. Gallaun et al. (2010) produced a pan-European map of forest growing stock by the combination of ground and remotely sensed data. The first objective of the curren...

Analysis of the full waveform return pulse of laser altimeter systems is expected to increase the possibilities and accuracy in well-known applications of laser altimetry like DTM generation, forestry and earth surface analysis. NASA’s ICESat Geoscience Laser Altimeter System (GLAS) was launched in 2003 and acquires full waveform data along profiles covering the entire earth. In this study, the...

Brain natriuretic peptide (BNP) is a cardiac hormone secreted predominantly from the ventricles. This hormone is produced as pre-prohormone BNP (pro BNP), than cleaved by corine to biologically active 32-aminoacid BNP and non-biologically active N-terminal-pro brain natriuretic peptide (NTproBNP). NTproBNP has been found to be a useful marker for the diagnosis of heart failure and left ventricu...

The free reception of Advanced Very High Resolution Radiometer (AVHRR) data keeps a growing interest for the remote sensing community concerned with vegetation studies on regional and global scales. However, the use of AVHRR data for long-term quantitative monitoring requires consistent surface reflectance data. This implies correcting the effects from varying sun sensor target geometries in mu...

This work introduces a new classification method in the remote sensing domain, suitably adapted to dealing with the challenges posed by the big data processing and analytics framework. The method is based on symbolic learning techniques, and it is designed to work in complex and information-abundant environments, where relationships among different data layers are assessed in model-free and com...

Determination of the spatial extent of peatland is important for the evaluation of soil carbon stocks. At European Level there is a need to provide accurate and updated estimate of the distribution of peatland. Comparison of national data with EU wide land cover mapping shows that there is limited compatibility between the different data sets. The aim of the present study is to test a methodolo...

Vector-borne diseases are not only accounted responsible for their burden on human health-care systems, but also known to cause economic constraints to livestock and animal production. Animals are affected directly by the transmitted pathogens and indirectly when animal movement is restricted. Distribution of such diseases depends on climatic and social factors, namely, environmental changes, g...

Land cover classification has been widely investigated in remote sensing for agricultural, ecological and hydrological applications. Landsat images with multispectral bands are commonly used to study the numerous classification methods in order to improve the classification accuracy. Thermal remote sensing provides valuable information to investigate the effectiveness of the thermal bands in ex...