Platform for starters in the geo sector
200 courses, 20 online supports, 60 moocs,
10 work to work trajectories,
30 trainees
MOOC: Learn hyperspectral remote sensing from scratch
Description
There are numerous Earth observation satellites orbiting the Earth and producing enormous amounts of data. Data to be processed, analyzed and valuable information to be extracted. This online hyperspectral remote sensing course is recommended for anyone who wants to work with hyperspectral data and images.
Earth observation satellites or Remote Sensing satellites contain payloads (sensors) that share or capture the entire globe at different wavelengths (spectral bands). The focus of the course is on hyperspectral optical remote sensing.
This course will help you understand the main concepts of hyperspectral images and how to place them in your daily work. After a quick introduction to remote sensing and hyperspectral imaging, we move on to the different applications that use hyperspectral data. At the core of the course, you will become familiar with the main processing concepts and techniques applied to hyperspectral data. Four main processing workflows are analyzed:
- Spectral Mixing and Unmixing
- Spectral Matching and Labeling
- Spectral Library Building and Updating
- Spectroscopy and Object Parameter Estimation
In each of these series of lectures, enrolled students are provided with extensive written documentation to further study the presented concepts and methods.
Learning objectives during this course:
- Understand the principles of hyperspectral remote sensing
- Become familiar with hyperspectral data processing concepts
- Understand spectral matching & labeling methods
- Know at which Earth Observation applications hyperspectral data are used
- Learn about the spectral unmixing process can and what you can do with this
- Learn about spectroscopy and quantitative spectral analysis
- Yes, I want to do this MOOC
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