GIS-E3050 - Advanced Remote Sensing L, 16.04.2019-28.05.2019
This course space end date is set to 28.05.2019 Search Courses: GIS-E3050
Topic outline
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Tools
Hyperspectral Data Analysis in R (the new hsdar package by Meyer & Lehnert, 2017)
"An R software package which focuses on the processing, analysis and simulation of hyperspectral (remote sensing) data. The package provides a new class (Speclib) to handle large hyperspectral datasets and the respective functions to create Speclibs from various types of datasets such as e.g., raster data or point measurements taken with a field spectrometer. "
Compatible with the previous version of R (3.3.1).
Useful reading materials
"Computer processing of remotely-sensed images". 2011. By Mather & Koch. Wiley & Blackwell publication. 434 p. (Available as e-book in Aalto. A good basic text book.)
"Remote sensing of the environment". 2014 (or older editions). By Jensen. Pearson publications. (A good basic text book.)
"Remote sensing of vegetation: principles, techniques, and applications". 2010. By Jones & Vaughan. Oxford University Press. 353 p. (An excellent book for those interested in vegetation!)
"Hyperspectral remote sensing: principles and applications". 2008. By Borengasser, Hungate & Watkins. 119 p. (A basic text book for beginners.)
"Quantitative Remote Sensing of Land Surfaces". 2004. By Liang. Wiley & Sons, Inc. Publication. 533 p. (A more advanced text book.)
"Advances in Land Remote Sensing: System, Modeling, Inversion and Application". 2008. By Liang (ed.). Springer Science+Business Media. 497 p. (A more advanced book / collection of review articles by scientists.)
Scientific journals in remote sensing
If you are interested in the most recent developments in remote sensing data & methods, you need to start following scientific journals. The five most highly ranked scientific journals (according to ISI Thomson Reuters, latest listing) in this field are
1) Remote Sensing of Environment
2) ISPRS Journal of Photogrammetry and Remote Sensing
3) International Journal of Applied Earth Observation and Geoinformation
4) IEEE Transactions on Geoscience and Remote Sensing
5) Remote Sensing
Free webinars & other self study materials
LearnEO! Online lessons in Earth observation (by European Space Agency)
MOOCs offered by the European Space AgencyMisc. links
The European Association of Remote Sensing Companies