Hyperspectral classification approaches for intertidal macroalgae habitat mapping: a case study in Heligoland

Natascha M. Oppelt; Florian Schulze; Katja Doernhoefer; Inga Eisenhardt; Inka Bartsch

doi:10.1117/1.OE.51.11.111703

11 June 2012 Hyperspectral classification approaches for intertidal macroalgae habitat mapping: a case study in Heligoland

Natascha M. Oppelt, Florian Schulze, Katja Doernhoefer, Inga Eisenhardt, Inka Bartsch

Author Affiliations +

Optical Engineering, Vol. 51, Issue 11, 111703 (June 2012). https://doi.org/10.1117/1.OE.51.11.111703

Abstract

Analysis of coastal marine algae communities enables us to adequately estimate the state of coastal marine environments and provides evidence for environmental changes. Hyperspectral remote sensing provides a tool for mapping macroalgal habitats if the algal communities are spectrally resolvable. We compared the performance of three classification approaches to determine the distribution of macroalgae communities in the rocky intertidal zone of Heligoland, Germany, using airborne hyperspectral (AISAeagle) data. The classification results of two supervised approaches (maximum likelihood classifier and spectral angle mapping) are compared with an approach combining k-Means classification of derivative measures. We identified regions of different slopes between main pigment absorption features of macroalgae and classified the resulting slope bands. The maximum likelihood classifier gained the best results (Cohan's kappa = 0.81), but the new approach turned out as a time-effective possibility to identify the dominating macroalgae species with sufficient accuracy (Cohan's kappa = 0.77), even in the heterogeneous and patchy coverage of the study area.

Citation Download Citation

Natascha M. Oppelt, Florian Schulze, Katja Doernhoefer, Inga Eisenhardt, and Inka Bartsch "Hyperspectral classification approaches for intertidal macroalgae habitat mapping: a case study in Heligoland," Optical Engineering 51(11), 111703 (11 June 2012). https://doi.org/10.1117/1.OE.51.11.111703

Published: 11 June 2012

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available