Hyperspectral Thermal Unmxing. A collection of video notes

Quickly understand spectral unmixing on thermal images

This remote sensing online course is a selection of video notes crafted to present to you the use of the spectral unmixing process on thermal images.

Initially, some thermal imaging concepts are presented along with the concepts of spectral mixing and unmixing.

We have also included a set of notes that act as a guide to apply spectral unmixing on MODIS thermal images. 

More analytically, the ENVI software was used to create the guide.

Course curriculum

  1. 01

    • Lesson 1: Thermal Theory Concepts

    • Lesson 2: Thermal Hyperspectral Images
  2. 02

    • Lesson 3: Spectral Mixing

    • Lesson 4: Spectral Unmixing

    • Lesson 5: Endmember Extraction Algorithms

    • Lesson 6: Abundance Estimation Algorithms
  3. 03

    • Lesson 7: Application of the Unmixing Process on MODIS Thermal Data

    • Lesson 8: Conclusions and Concerns
  4. 04

    • Lesson 9: MODIS Dataset used for the exercise

    • Lesson 10: Step-by-step Guide in ENVI software

What will you learn?

  • Basic thermal theory concepts

  • Spectral mixing/unmixing

  • Application of spectral unmixing on thermal data

Any Prerequisites?

  • Practically none. Just passion to learn new concepts

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Some more information

  • Certificates of Completion

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  • Available at any time! Study at your best time

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  • Online and always accessible

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About your Instructor

I'm a Remote Sensing and a Surveying Engineer. I received my degree from NTUA in 2010, where I also received my Ph.D. in hyperspectral remote sensing in 2016. From graduation in 2010, my career started as a Researcher Associate and Teaching Associate in the Laboratory of Remote Sensing of NTUA. From that time I also worked at several private companies as a Remote Sensing Expert and Geospatial Analyst. From the beginning of 2015 I was positioned as Senior Earth Observation Expert. During these years, I have participated in more than 20 funded European Commission and European Space Agency projects, have over 16 peer reviewed scientific publications in the field of Remote Sensing, and have an international patent in hyperspectral data compression.My main research and professional interests are in the optical remote sensing area, where I specialize in data (images, point measurements) processing and algorithm design and development. Some of the software tools that I operate to accomplish my research and business dreams are SNAP, ENVI, IDL, QGIS, ERDAS Imagine, ArcGIS, and Python. I have been working with these tools since 2008.

Dimitris Sykas

Remote Sensing Expert

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