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Topotoolbox sessions using Matlab and real DEM - Part 1 & 2 | Bodo Bookhagen

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  • Опубликовано: 17 июн 2020
  • About Speaker:
    Prof. Bodo Bookhagen is a globally renowned and highly acclaimed researcher in the field of active tectonics, erosion and sediment transport and remote sensing. He got his PhD in geology from Potsdam University, then worked as a post-doctoral scholar with Prof Douglas Burbank (UC Santa Barbara) and George E. Hilley (Stanford University), before getting a permanent position at Geography Dept., UC Santa Barbara. Since 2014, he has been acting as a chair of Geological Remote Sensing and a full Professor at Institute for Earth- and Environmental Science, University of Potsdam. In 2017, he had visited IITGN as a visiting professor under Varahamihira Ministry of Science Chair Professor scheme. Over the last two decades, Dr. Bookhagen has been leading several projects on remote sensing and active tectonics in different continents.He applies a combination of remote sensing, field, laboratory, and numerical methods to understand and quantify climatic and geomorphic processes. More specifically, he relies on optical, active and passive radar satellite imagery to quantify climatic parameters (precipitation, snow cover) and he identifies their variability through time. In the field, he studies geomorphic processes and determines some of their rates in the laboratory through cosmogenic nuclide measurements. Furthermore, he relies on a terrestrial laser scanner to produce cm-scale digital elevation models (DEMs) and performs change-detection methods.
    Please visit this page if you want to know more about Dr. Bookhagen’s recent work and projects.
    Outline of lecture:
    Morphometric analysis using digital elevation model (DEM) constitutes a major part of modern-day quantitative geomorphological analysis. With the advent of high-level computer language, more and more earth scientists have adapted to make use of these language to automate the morphometric analysis and run spatial analysis using digital data. As a result, in the last decade, a few numbers of Python or Matlab based toolkit for morphometric analysis have been published. One of the more user-friendly Matlab based toolbox is Topotoolbox (Schwanghart and Scherler, 2014). Topotoolbox makes freely available to the user, a wide range of sophisticated and optimized Matlab based routine for morphometric analysis. Please check out one of the recent papers, which has made use of this toolbox. In his lectures, Prof Bookhagen provides an in-depth introduction (sort of tutorial) of Topotoolbox. Later he gives examples of application of the toolbox to calculate various morphometric indices and do geomorphic analysis with a landscape, highlighting one of his recent work finding out Knick zones in a landscape along with many more illustrative examples .

Комментарии • 4

  • @xiaolongzhang2512
    @xiaolongzhang2512 3 года назад

    Finally, I found these excellent courses. Many thanks.

  • @ViCtOrBization
    @ViCtOrBization 2 года назад

    53:40 Could someone explain to me the reason of doing: 'dem_resolution = DEM.refmat(2,1)' using that 1m DEM? How that procedure should change if you're using a 10 m (or any other spatial resolution) DEM? Thank you so much for the courses

  • @rakeshkumarsahoo6296
    @rakeshkumarsahoo6296 3 года назад +1

    Please help me how to plot the Hack SL index using Topotoolbox

  • @wendelldtalampas7024
    @wendelldtalampas7024 Год назад

    Hi Prof. Bookhagen. Sir, how can I calculate the difference in elevation between river cells along a catchment’s channel using Topotoolbox?