MATLAB and Python Recipes for Earth Sciences
Martin H. Trauth, University of Potsdam, Germany
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”
The terrestrial Earth Surface System (ESS) is driven by geological, biological, and climatic forces. They form a complex system of closely coupled processes and feedbacks that are not yet sufficiently understood. Knowledge of these interactions is essential because the Earth’s surface is the foundation for all human activity and its dynamics impact all facets of life, habitability, and sustainability.
Through the U Potsdam’s research initiative NEXUS: Earth Surface Dynamics the renowned earth, environmental, life and data sciences of the Potsdam-Berlin area will intensify existing collaboration and liaise with new partners to form a network to understand Earth-Surface processes. U Potsdam’s science campus Golm will be the center of NEXUS providing modern infrastructure and a concentration of interdisciplinary expertise. Source: S. Schneider, U Potsdam.
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”