Atmospheric correction of a seasonal time series of Hyperion EO-1 images and red edge inflection point calculation

Veli Heikki Vesanto, Matti Mõttus, Janne Heiskanen, Miina Rautiainen, Titta Majasalmi

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

4 Citations (Scopus)

Abstract

This study covers the preprocessing and atmospheric correction of a seasonal time series five Hyperion EO-1 images from Hyytiälä, Southern Finland (61° 51′N, 24° 17′E). The time series ranges from May 5th 2010 to July 11th 2010, covering much of the growing season and the seasonal changes in vegetation reflectance. Atmospheric correction of the time series was done with Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) and ATmospheric CORrection (ATCOR) algorithms for comparison. Both algorithms performed well with Hyperion imagery. Different red edge inflection point (REIP) calculation methods were analyzed to determine their applicability for Hyperion imagery. REIP was calculated using four-point interpolation, Lagrangian interpolation, and fifth order polynomial fitting. Due to the dynamics of the red edge, polynomial fitting was seen as the best method for calculating the REIP. REIP did not correlate strongly with Leaf Area Index (LAI) but a stronger correlation was observed with understory REIP.

Original languageEnglish
Title of host publication2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012
DOIs
Publication statusPublished - 1 Jan 2012
MoE publication typeA4 Article in a conference publication
Event2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012 - Shanghai, China
Duration: 4 Jun 20127 Jun 2012

Conference

Conference2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012
CountryChina
CityShanghai
Period4/06/127/06/12

Fingerprint

Time series
Interpolation
Polynomials

Keywords

  • atmospheric correction
  • Hyperion
  • red edge inflection point
  • seasonal reflectance change
  • time series

Cite this

Vesanto, V. H., Mõttus, M., Heiskanen, J., Rautiainen, M., & Majasalmi, T. (2012). Atmospheric correction of a seasonal time series of Hyperion EO-1 images and red edge inflection point calculation. In 2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012 [6874307] https://doi.org/10.1109/WHISPERS.2012.6874307
Vesanto, Veli Heikki ; Mõttus, Matti ; Heiskanen, Janne ; Rautiainen, Miina ; Majasalmi, Titta. / Atmospheric correction of a seasonal time series of Hyperion EO-1 images and red edge inflection point calculation. 2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012. 2012.
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abstract = "This study covers the preprocessing and atmospheric correction of a seasonal time series five Hyperion EO-1 images from Hyyti{\"a}l{\"a}, Southern Finland (61° 51′N, 24° 17′E). The time series ranges from May 5th 2010 to July 11th 2010, covering much of the growing season and the seasonal changes in vegetation reflectance. Atmospheric correction of the time series was done with Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) and ATmospheric CORrection (ATCOR) algorithms for comparison. Both algorithms performed well with Hyperion imagery. Different red edge inflection point (REIP) calculation methods were analyzed to determine their applicability for Hyperion imagery. REIP was calculated using four-point interpolation, Lagrangian interpolation, and fifth order polynomial fitting. Due to the dynamics of the red edge, polynomial fitting was seen as the best method for calculating the REIP. REIP did not correlate strongly with Leaf Area Index (LAI) but a stronger correlation was observed with understory REIP.",
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Vesanto, VH, Mõttus, M, Heiskanen, J, Rautiainen, M & Majasalmi, T 2012, Atmospheric correction of a seasonal time series of Hyperion EO-1 images and red edge inflection point calculation. in 2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012., 6874307, 2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012, Shanghai, China, 4/06/12. https://doi.org/10.1109/WHISPERS.2012.6874307

Atmospheric correction of a seasonal time series of Hyperion EO-1 images and red edge inflection point calculation. / Vesanto, Veli Heikki; Mõttus, Matti; Heiskanen, Janne; Rautiainen, Miina; Majasalmi, Titta.

2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012. 2012. 6874307.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AU - Mõttus, Matti

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AU - Rautiainen, Miina

AU - Majasalmi, Titta

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N2 - This study covers the preprocessing and atmospheric correction of a seasonal time series five Hyperion EO-1 images from Hyytiälä, Southern Finland (61° 51′N, 24° 17′E). The time series ranges from May 5th 2010 to July 11th 2010, covering much of the growing season and the seasonal changes in vegetation reflectance. Atmospheric correction of the time series was done with Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) and ATmospheric CORrection (ATCOR) algorithms for comparison. Both algorithms performed well with Hyperion imagery. Different red edge inflection point (REIP) calculation methods were analyzed to determine their applicability for Hyperion imagery. REIP was calculated using four-point interpolation, Lagrangian interpolation, and fifth order polynomial fitting. Due to the dynamics of the red edge, polynomial fitting was seen as the best method for calculating the REIP. REIP did not correlate strongly with Leaf Area Index (LAI) but a stronger correlation was observed with understory REIP.

AB - This study covers the preprocessing and atmospheric correction of a seasonal time series five Hyperion EO-1 images from Hyytiälä, Southern Finland (61° 51′N, 24° 17′E). The time series ranges from May 5th 2010 to July 11th 2010, covering much of the growing season and the seasonal changes in vegetation reflectance. Atmospheric correction of the time series was done with Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) and ATmospheric CORrection (ATCOR) algorithms for comparison. Both algorithms performed well with Hyperion imagery. Different red edge inflection point (REIP) calculation methods were analyzed to determine their applicability for Hyperion imagery. REIP was calculated using four-point interpolation, Lagrangian interpolation, and fifth order polynomial fitting. Due to the dynamics of the red edge, polynomial fitting was seen as the best method for calculating the REIP. REIP did not correlate strongly with Leaf Area Index (LAI) but a stronger correlation was observed with understory REIP.

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Vesanto VH, Mõttus M, Heiskanen J, Rautiainen M, Majasalmi T. Atmospheric correction of a seasonal time series of Hyperion EO-1 images and red edge inflection point calculation. In 2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012. 2012. 6874307 https://doi.org/10.1109/WHISPERS.2012.6874307