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Product pages » Hyperspectral surface reflectance - Hyperion, enhancement and atmospheric correction technique, Australia coverage

Hyperspectral surface reflectance - Hyperion, enhancement and atmospheric correction technique, Australia coverage

Last modified by Matt Paget on 2021/08/25 15:34

Hyperspectral surface reflectance - Hyperion, enhancement and atmospheric correction technique, Australia coverage


Figure 1: Australian Hyperion overpass locations 2001 - 2010 showing a cut out and scene over Shark Bay. 

Link to the data

DescriptorData linkLayer name
Persistent URL

Data licence and Access rights

RightsCopyright 2012 Curtin University. Rights owned by Curtin University. Rights licensed subject to Creative Commons Attribution (CC BY). Attribution for the USGS as the source of the Hyperion data is also required, see
LicenceCreative Commons Attribution 3.0 License,
AccessThese data can be freely downloaded and used subject to the CC BY licence. Attribution and citation is required as described at Attribution for the USGS as the source of the Hyperion data is also required, see We ask that you send us citations and copies of publications arising from work that use these data.

Abstract or Summary

Hyperion L1R calibrated radiance data were acquired from the USGS and processed to surface reflectance using the Auscover/Curtin Hyperion Enhancement and Atmospheric correction Technique (A/CHEAT). Each file is first of all enhanced to replace missing lines in the file due to failed pixels in the detector array. Spectral smile, a change in wavelength response across the detector array, is then corrected by an interpolation technique. Finally the repaired file is atmospherically corrected using radiative transfer model data with an approach derived from techniques in the literature. Each processed file contains hyperspectral surface reflectance data for each pixel contained in the original L1R scene.

Spatial and Temporal extents

Spatial resolution (metres)30 m
Spatial coverage (degrees)113 E to 155 E, 10 S to 46 S (estimated)
Temporal resolutionSwath scenes, intermittent
Temporal coverage2001-07-07 to 2010-05-03
Sensor & platformHyperion EO-1
Spatial representation typegrid
Spatial reference systemWGS 84

Point of contact

NameMark Broomhall
OrganisationRemote Sensing and Satellite Research Group, Curtin University
PositionRemote sensing scientist


FoREnvironmental Sciences > Ecological Applications = 0501

There are three main thesauri that AusCover recommends:

  1. Global Change Master Directory (
  2. Climate and Forecast (CF) convention standard names (
  3. Fields of Research codes (

Data quality

Data quality is dependent on the temporal, spatial and spectral quality of the input L1R scenes. While individual scenes may show original pixel sampling features, all scenes in the L1R Australia archive were able to be processed.

Quality due to the atmospheric correction algorithm can in part be assessed by a measure of the effect of the water vapour retrieval. This information is available in processing log files on a scene by scene basis.

Three different atmospheric correction (AC) techniques were compared for a single scene. These were Fast Line-of-sight Atmospheric Analysis of Hypercubes (FLAASH), a modified version of the Second Order Differential Analysis (SODA) algorithm developed by Dr. Andrew Rodger called ATCOMP and A/CHEAT. Each AC method was run on a scene that was corrected for missing pixels and spectral smile. Of these FLAASH retrieves water vapour and aerosol information to use in the AC process, ATCOMP and A/CHEAT only retrieve water vapour. The following graphs show comparisons for 3 different targets from the same Hyperion scene. These are for a low lying green field, a low lying forest and a forested area in a mountainous area.



Figure 2: Comparison of three different methods of atmospheric correction for 3 different targets for the same Hyperion scene

These comparisons show good agreement in the visible and Short Wave Infrared (SWIR) but the Near Infrared (NIR) shows a great deal more variability between AC methods. This can be largely attributed to differences in the retrieved water vapour values. This is most evident around 1124 nm where sharp spikes in the spectra in (a) and (c) are in opposite directions for ATCOMP. This indicates that both FLAASH and A/CHEAT overestimate water vapour while ATCOMP underestimates water vapour.
This indicates favourable agreement between AC models in use and A/CHEAT and provides confidence in the method.

Validation status

A validation report has been prepared and is available here A/CHEAT Validation Report

Related products

ItemProduct link
Raw Hyperion archive for Australia
Airborne hyperspectral for field sites


ItemDetail or link
Algorithm Theoretical Basis DocumentM. Broomhall (2012). AusCover/Curtin Hyperion Enhancement and Atmospheric Correction Technique ATBD
Online infoUSGS EO-1 website,

Algorithm summary

A private communication with Dr. David Jupp, Principle Investigator for the Australian membership of the NASA EO-1 science validation team (retired), identified eleven processing steps that can be applied to Hyperion data. These steps are,

  1. Fix bad pixels (low SNR bands and pixel dropouts)
  2. Gain and Offset correction (to radiance)
  3. Fix out-of-range values (artifact of process 2)
  4. Interpolate wavelengths (corrects spectral ‘smile’)
  5. De-spike (adjust extreme values based on image mean
  6. De-streak (accounts for differences in detector sensitivity, performed separately for each spectrometer)
  7. Atmospheric correction
  8. Sun angle correction
  9. Cross track illumination correction
  10. Minimum noise fraction (reduces uncorrelated spatial noise)
  11. Empirical line correction to enable comparison between swaths

Steps 2 and 3 relate to Hyperion Level 1B1 data where radiometric corrections have not been done. The AusCover data archive consists of Level 1R data, which has been radiometrically corrected already. Of the remaining nine steps the four of most importance in descending order to achieve an adequate surface reflectance product are,

  1. Atmospheric correction
  2. Fix bad bands and pixels
  3. Smile correction
  4. De-streaking.

The four steps post-atmospheric correction (sun angle, cross track, minimum noise, empirical line) were not considered for inclusion in this work. De-streaking was considered and recommended by Dr. Jupp but it was decided to implement this module as time permitted, which it hasn’t.

The atmospheric correction algorithm used for this work was developed using techniques in the literature and with the help of colleagues from CSIRO Earth Science and Resource Engineering who are well versed in hyperspectral atmospheric correction. The algorithm and technical basis is described in some detail in the ATBD.

Product version history

Version labelDetail
1.0Initial release

Metadata history

2012-12-07Metadata creation date and ATBD release.
2012-12-12Reformatted to new template.
2012-12-14Updated Abstract and Quality sections.
Uploaded processing logs to the NCI.
2021-08-25Uploaded ATBD for copying to TERN Portal
Created by Matt Paget on 2012/12/12 15:43

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