MATLAB and Python Recipes for Earth Sciences
Martin H. Trauth, University of Potsdam, Germany
In the latest issue of the U Potsdam’s magazine Portal Wissen includes two articles about the Chew Bahir Drilling Project. The first of these articles is about my involvement in the project, the possible link between climate and evolution, the drilling operations in the Chew Bahir and subsequent laboratory work and time series analyses. The second article is about ancient DNA analyses of the Chew Bahir drill cores performed by my collaborators Michael Hofreiter and Ralph Tiedemann.
Carleton College, Northfield, MN, together with MathWorks again invites science faculty and educators to a Developing Competency in Teaching Computation using MATLAB workshop at 15–17 October 2017. Two earlier workshops and associated webpages were discussed in an earlier post to this blog. Continue reading “Workshop on Teaching Computation using MATLAB at Carleton College”
In a series of blog posts, I will tell you a little about how I teach computational geosciences with MATLAB. In the morning of the last day I teach image processing and analysis. Continue reading “Teaching Computational Geosciences with MATLAB, Part 10: Image Analysis”
The new GMT/MATLAB Toolbox by Paul Wessel and Joaquim F. Luis is a great interface between both very popular tools. Continue reading “GMT/MATLAB Toolbox”
This exercise is intended to help students to understand how to scan the magnetic anomaly of three disk-shaped Y10 magnets underneath a table. The experiment simulates a magnetic survey for subsurface structures. Continue reading “The Apple iPhone/MATLAB Mobile/LEGO MINDSTORMS Scanner, Part 2”
In a number of publications, we used a simple energy-based lake balance model to estimate precipitation and evaporation during highstands of paleolakes in Argentina and Kenya. The highstands were reconstructed from radiocarbon-dated paleoshorelines of landslide-dammed lakes and closed-basin rift lakes. Here we publish the MATLAB code to estimate the evaporation over land surface and water surface, which is the core of the lake-balance model used in our research. Continue reading “Lake-Balance Modeling Using MATLAB”
In an earlier post in March 2017 I explained how to capture NDVI Red+NIR images using a MAPIR Survey2 NDVI, to import the images into MATLAB and to calculate the Normalized Difference Vegetation Index. Here is the result of the experiment repeated in June 2017 during the growing season. Continue reading “Calculating the NDVI From Multispectral Camera Images Using MATLAB, Part 2”