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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)
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)
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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)
Remote Sensing and GIS analyses were embedded to monitor interactions and relationships between land use and land cover changes in the regional ecological space of Gobi-Altai province (Western part of Mongolia). In the last 76 years, Mongolia has experienced a combination of societal and governance system changes in transitioning from the feudal system to(More)
This study aims to evaluate quantitatively the land surface temperature (LST) derived from MODIS (Moderate Resolution Imaging Spectroradiometer) MOD11A1 and MYD11A1 Collection 5 products for daily land air surface temperature (T a) estimation over a mountainous region in northern Vietnam. The main objective is to estimate maximum and minimum T a (T a-max(More)