MATLAB and Python Recipes for Earth Sciences
Martin H. Trauth, University of Potsdam, Germany
The MATLAB Live Editor was introduced about a year ago providing an elegant way to create, edit and run MATLAB code. Using the new editor the results of a MATLAB script are displayed together with the code that produced them. A Live Script can include equations, images, hyperlinks and formatted text, to be shared with others as an interactive document, as the webpage of MathWorks suggests.
Continue reading “A Year with the new MATLAB Live Editor”
On Saturday 13 May 2017 I will give a public lecture on “Tectonics, Climate and Human Evolution in Africa”. The lecture will be part of the Potsdam Science Day (Potsdamer Tag der Wissenschaften). The lecture takes place in the MPI Central Building in Golm, Seminar Room Z-1.053A / Z-1.052, between 15 and 15:30. Continue reading “Public Lecture on Tectonics, Climate and Human Evolution in Africa”
This exercise is intended to help students to understand how rectify and reference images using MATLAB. Possible applications are outcrop images (with a scale), aerial and satellite images (with reference points). Continue reading “Rectifying and Referencing Images using MATLAB”
MATLAB is now a widely used tool in satellite remote sensing. Here is an example of importing, processing, and exporting freely-available Landsat images of Lake Naivasha in the Central Kenya Rift. Continue reading “Importing, Processing and Exporting LANDSAT Images with MATLAB”
While working on the 2nd edition of MDRES we noticed that the number of vertices of the coastline polygon of the GSHHG example described in an earlier post did not have the 28033 vertices as expected from the original data set. The number of vertices, as counted by vector graphics software such as Adobe Illustrator CC 2017 was 14398 instead. This was a surprise and important enough to write this note to the readers of both the MRES and MDRES book. Continue reading “MATLAB Does ‘Some Optimization’ When Drawing Line Vertices, Support Says”
Today was the first day of the MATLAB/LEGO MINDSTORMS Environmental Remote Sensing. The course for undergraduate and graduate students aims to improve their skills to build efficient teams to solve typical problems in earth sciences in acquiring, processing and analyzing typical multispectral, geophysical and geometric data. Continue reading “The MATLAB/LEGO MINDSTORMS Environmental Remote Sensing Lab Started Today”
Detecting change points, such as abrupt transitions in the mean, the variance, the trend in time series is an important task of modern time series analysis. As an example, possible tipping points in the Earth’s climate system are currently being intensively investigated. Detecting, not predicting, change points in time series can be done using various methods with MATLAB, including the function findchangepts introduced with release R2016a and contained in the Signal Processing Toolbox. Continue reading “Detecting Change Points in Time Series with MATLAB”