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

Veli-Heikki Vesanto | Zendy; Matti Mõttus | Zendy; Janne Heiskanen | Zendy; Miina Rautiainen | Zendy; Titta Majasalmi | Zendy

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

Author(s) -

Veli-Heikki Vesanto,

Matti Mõttus,

Janne Heiskanen,

Miina Rautiainen,

Titta Majasalmi

Publication year - 2012

Publication title -

helda (university of helsinki)

Language(s) - English

Resource type - Conference proceedings

ISBN - 978-1-4799-3405-8

DOI - 10.1109/whispers.2012.6874307

Subject(s) - atmospheric correction , red edge , inflection point , series (stratigraphy) , remote sensing , mathematics , interpolation (computer graphics) , algorithm , geography , computer science , geometry , artificial intelligence , physics , satellite , geology , hyperspectral imaging , image (mathematics) , astronomy , paleontology

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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