Topic outline

  • 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 Agency


    Misc. links

    The European Association of Remote Sensing Companies