Training In Imaging Spectroscopy
 
 

Program

 

HyperTeach@SADC Training Course (November 19-22, 2007)

 

During the 2-day theoretical course (November 19-20, 2007) the following topics will be covered:  

 

 

-        physical basics of spectroscopy

-        imaging spectroradiometers

-        airborne campaign planning

-        spaceborne data availability

-        field equipment

-        sensor calibration

-        pre-processing

-        geometric and atmospheric corrections

-        data analysis and validation

-        2 applications: water and aquatic ecosystems, biodiversity

 

During the 2-day practical course (November 21-22, 2007)

 

the ‘water and aquatic ecosystems’ students will learn

-        how in-situ collected spectra, measured with the GER spectroradiometer, can be used to observe how light at     different wavelengths is influenced by the water column

-        why and how hyperspectral data, which is already radiometric, geometric and atmospheric

-        corrected, needs additional corrections for sun glint to perform the basic steps of satellite image processing, including identification of bad data

-        how to perform a benthic cover classification on a part of a coral reef

-        what happens with light at the air-water interface

-        about the WATCOR functionalities

-        how to retrieve the required atmospheric input parameters for WATCOR

-        how to interpret WATCOR output images

-        how to make and process in-situ reflectance measurements above water

-        how to find a suitable TSM algorithm

-        how to derive a TSM map from an AHS image and visualize it with an appropriate colour scale.

 

the ‘biodiversity’ students will learn how

-        to perform an atmospheric and geometric correction of airborne hyperspectral images (including field measurements) and how to prepare airborne hyperspectral images for later classification

-        to measure leaf reflectance spectra, to distinguish different vegetation species by their leaf reflectance spectra and to use different indices to characterize these differences

-        to classify vegetation species using spectral similarity measures

 

For the practical course ENVI® software will be used.