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Faculty of Science, Medicine and Health - Papers: part A

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Full-Text Articles in Social and Behavioral Sciences

Assessment Of A Multi-Species In Situ Ftir For Precise Atmospheric Greenhouse Gas Observations, S Hammer, D W. T Griffith, G Konrad, S Vardag, C Caldow, I Levin Jan 2013

Assessment Of A Multi-Species In Situ Ftir For Precise Atmospheric Greenhouse Gas Observations, S Hammer, D W. T Griffith, G Konrad, S Vardag, C Caldow, I Levin

Faculty of Science, Medicine and Health - Papers: part A

We thoroughly evaluate the performance of a multi-species, in situ Fourier transform infrared (FTIR) analyser with respect to high-accuracy needs for greenhouse gas monitoring networks. The in situ FTIR analyser is shown to measure CO2, CO, CH4 and N2O mole fractions continuously, all with better reproducibility than the inter-laboratory compatibility (ILC) goals, requested by the World Meteorological Organization (WMO) for the Global Atmosphere Watch (GAW) programme. Simultaneously determined δ13CO2 reaches reproducibility as good as 0.03‰. Second-order dependencies between the measured components and the thermodynamic properties of the sample, (temperature, pressure and flow rate) and the cross sensitivities among the sample …


Using A Micro-Uav For Ultra-High Resolution Multi-Sensor Observations Of Antarctic Moss Beds, Arko Lucieer, Sharon Robinson, Darren Turner, Steve Harwin, Josh Kelcey Jan 2012

Using A Micro-Uav For Ultra-High Resolution Multi-Sensor Observations Of Antarctic Moss Beds, Arko Lucieer, Sharon Robinson, Darren Turner, Steve Harwin, Josh Kelcey

Faculty of Science, Medicine and Health - Papers: part A

This study is the first to use an Unmanned Aerial Vehicle (UAV) for mapping moss beds in Antarctica. Mosses can be used as indicators for the regional effects of climate change. Mapping and monitoring their extent and health is therefore important. UAV aerial photography provides ultra-high resolution spatial data for this purpose. We developed a technique to extract an extremely dense 3D point cloud from overlapping UAV aerial photography based on structure from motion (SfM) algorithms. The combination of SfM and patch-based multi-view stereo image vision algorithms resulted in a 2 cm resolution digital terrain model (DTM). This detailed topographic …