MATLAB and Python Recipes for Earth Sciences
Martin H. Trauth, University of Potsdam, Germany
With release R2014b the new function histogram was introduced to replace the old function hist. Here is a script to reproduce the result of hist by the new function histogram. Continue reading “Reproducing the Results of hist by the More Recent Function histogram of MATLAB”
Next week the 42nd shortcourse on MATLAB Recipes for Earth Sciences will begin with 34 participants from 10 different research institutions and universities. It is the second of the two spring courses at the University of Potsdam. Continue reading “42nd Shortcourse On MRES”
The exercise on image stitching with MATLAB is intended to help students to understand how to merge multiple images taken with a webcam using MATLAB. We used a webcam, mounted on a four-wheeled LEGO vehicle on rails with a single large motor, controlled with MATLAB, to acquire, process and merge multiple images.
Continue reading “Image Stitching with MATLAB”
This exercise is intended to help students to understand how to capture NDVI Red+NIR images using a MAPIR Survey2 NDVI Red+NIR camera, to import the images into MATLAB and to calculate the Normalized Difference Vegetation Index. Continue reading “Calculating the NDVI From Multispectral Camera Images Using MATLAB, Part 1”
The journey of NASA’s EO-1 satellite is coming to an end. The images recorded by the Hyperion Sensor, aboard the satellite, during the past years, will provide valuable information about the Earth’s surface for many years to come. Continue reading “Importing and Processing EO-1 Hyperion Images with MATLAB”
This exercise is intended to help students to understand how to calculate a 3D point cloud from stereo images. We used a webcam, mounted on a four-wheeled LEGO vehicle on rails with a single large motor, controlled with MATLAB, to acquire pairs of stereo images and calculated the 3D point cloud of the opening of an agate druse. Continue reading “Calculating 3D Point Clouds From Stereo Images Using MATLAB”
The book “MATLAB Recipes for Earth Sciences” (Springer, 2015) is again ranked 5th (Spring 2017) in the Top 100 out of more than 4,600 books in Earth Sciences, Geography & Environment of Springer. Thanks to all readers for buying the book!
This exercise is intended to help students to understand how to scan the relative distance of a 3D object from an infrared sensor. The quality of the result, possible artefacts and sources of error are discussed in conjunction with the results of a previous exercise on the spatial resolution of the sensor. Continue reading “Object Scanning with MATLAB using the LEGO Infrared Sensor”