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Losses of biodiversity and ecosystem functioning due to rainforest destruction and agricultural intensification are prime concerns for science and society alike. Potentially, ecosystems show nonlinear responses to land-use intensification that would open management options with limited ecological losses but satisfying economic gains. However,(More)
Topographic correction is an important data preprocessing step when land cover classification and quantitative analysis of multispectral data are carried out in mountainous regions. Solar illumination effects may cause variations in reflectance of similar ground features, leading to a possible misclassification due to different topographic positions. Since(More)
1. Investigation of climate and human impacts on vegetation 2. Deriving biophysical variables such as: LAI, fPAR etc. 3. Biomass (grass / crop) production with RS and ground truth data (Review and development of models, e.g. Göttingen-BioStar-model; reporting to AgMIP) 4. Modeling of ecosystem production (NPP, GPP, NEP); new Software BioSTAR 5.(More)
Carbon sequestration was estimated in a semi-arid grassland region in Central Kazakhstan using an approach that integrates remote sensing, field measurements and meteorological data. Carbon fluxes for each pixel of 1 × 1 km were calculated as a product of photosynthetically active radiation (PAR) and its fraction absorbed by vegetation (fPAR), the light use(More)
In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: Global climate anomalies linked to El-Niñ o-Southern Oscillation (ENSO) leading to a(More)
In this work a new gap-fill technique entitled projection transformation has been developed and used for filling missed parts of remotely sensed imagery. In general techniques for filling missed area of an image are broken down into three main categories: multi-source techniques that take the advantages of other data sources (e.g. using cloud free images to(More)