June 29, 2017August 11, 2017 by Martin H. Trauth

Using a Multispectral Array with MATLAB, Part 1

Today I received three more MAPIR Survey2 cameras to built a multispectral array. In addition to the MAPIR Survey2 NDVI Red+NIR (650 and 850 nm) camera using to calculate the the Normalized Difference Vegetation Index (as described in an earlier post) purchased in March I now have the Blue (450 nm), Green (550 nm) and Visible Light RGB (~370–650 nm). We use the four cameras to build a multispectral array, possibly mounted on drones, to determine various types of rocks and minerals on the ground. First experiments and results will be presented here shortly.

Trauth, M.H. (2021) Signal and Noise in Geosciences, MATLAB Recipes for Data Acquisition in Earth Sciences. Springer International Publishing, 343 p., ISBN 978-3-030-74912-5 (MRDAES)
Trauth, M.H. (2024) MATLAB Recipes for Earth Sciences – Sixth Edition. Springer International Publishing, 550 p., ISBN 978-3-031-57948-6. (MRES)
Trauth, M.H., Sillmann, E. (2018) Collecting, Processing and Presenting Geoscientific Information, MATLAB® and Design Recipes for Earth Sciences – Second Edition. Springer International Publishing, 274 p., ISBN 978-3-662-56202-4. (MDRES)
Trauth, M.H. (2022) MATLAB®-Rezepte für die Geowissenschaften, 1. deutschsprachige Auflage, basierend auf der 5. englischsprachigen Auflage. Springer Spektrum, 544 p., ISBN 978-3-662-64356-3. (MRG)
Trauth, M.H. (2024) Python Recipes for Earth Sciences – Second Edition. Springer International Publishing, 450 p., Supplementary Electronic Material, ISBN 978-3-031-56905-0. (PRES)
Trauth, M.H. (2024) Python-Rezepte für die Geowissenschaften, 1. deutschsprachige Auflage, basierend auf der 1. englischsprachigen Auflage. Springer Spektrum, 492 p., ISBN 978-3662681176. (PRG)