Geospatial eLearning Program
The Introduction to Spectral Remote Sensing Learning Path is designed to expose learners to the common applications of spectral analysis. Each course utilizes example datasets to illustrate concepts using ENVI software.
3 Hours
Explores discrete regions of the electromagnetic spectrum and their use in conducting spectral analysis.
Discusses several sources of public-domain remote sensing data.
Explores the relationship between data points on the ground, data values in remote sensing images and common preprocessing techniques.
Explores the applications of spectral data across various industries.
Describes atmospheric processes that affect interpretation of satellite images.
Describes factors that need to be considered to properly assess the quality of remote sensing images.
Discusses the role of image classification in remote sensing.
Describes methods used in remote sensing to assess changes to the Earth’s landscape over time.
Describes how non-spectral data can complement, and potentially improve, spectral analysis.
Introduces hyperspectral analysis, also called imaging spectroscopy.
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