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The techniques used and documentary sources involved historical cartography, digitalizing the 5-m-level curve on the maps of 1875, 1908, 1920, 1950, and 1985 photogrammetric flights of 1985, 1988, and 2001 without calibration certificates, digitalizing only the upper part of the sandy front photogrammetric flights of 2005, 2007, 2010, and 2014, using photogrammetric restitution of the 5-m-level curve topo-bathymetric profiles made monthly between 19 using a total station a terrestrial laser scanner (TLS) since 2011 by means of two annual measurements and the meteorological data for the period of 1985–2017. The continuous beach–dune system is a very active confining sand barrier closing an estuarine system where damage is suffered by coastal infrastructures and houses.
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The dynamics and evolution of a coastal sandy system over the last 142 years (1875–2017) were analyzed using geomatics techniques (historical cartography, photogrammetry, topography, and terrestrial laser scanning (TLS)).
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To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them. PDF is the official format for papers published in both, html and pdf forms.You may sign up for e-mail alerts to receive table of contents of newly released issues.Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.Moreover, the proposed method allows a streamlined workflow for applied forestry by providing analysis results directly to mobile applications for validation and data collection in the field. The proposed semi-automatic and highly scalable workflow achieved an overall accuracy of 88%, indicating that it is well-suited to be used on larger areas with a similar forest structure. Different machine-learning algorithms (Random Forest and Support Vector Machines) are tested using Sentinel-2 data and forest inventory data in object- and pixel-based approaches to classify tree species in two German forest areas. It's not the same for every map, and on level 2, all I have to do is add 180 to my yaw to get it right, so this may not be the right calculation to be using.The analysis and classification of tree species and tree species groups has a long history in remote sensing and is not only of scientific interest but also important for applied forestry. I think it has to do with the orientation of my player when yaw is 0. I even tried nulling the view angles inside of the usercmd passed to my hook, but that didn't do anything either. There are several other angles located in SoldierData as well, but none of them do anything except reflect the other values. I looked everywhere trying to find something else, but I couldn't find anything. This value is the yaw required for the camera to face the object that killed you. When dead, modifying this angle does work, but the yaw is constantly modified by a value set at m_soldier + 0xDEC. The yaw is between -180 and 180, and does nothing with modified while alive. 0xAF152C, which is the angle modified when the engine reads from the mouse.Ģ. There are two yaw the renderer uses, those being:ġ. (optionally look at the source, but that's no fun )
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The yaw is in atleast two places, one that is written to when reading from the mouse (trace it from that), and the current one of the renderer.