Share Email Print

Proceedings Paper

Identifying and classifying water hyacinth (Eichhornia crassipes) using the HyMap sensor
Author(s): Sepalika S. Rajapakse; Shruti Khanna; Margaret E. Andrew; Susan L. Ustin; Mui Lay
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In recent years, the impact of aquatic invasive species on biodiversity has become a major global concern. In the Sacramento-San Joaquin Delta region in the Central Valley of California, USA, dense infestations of the invasive aquatic emergent weed, water hyacinth (Eichhornia crassipes) interfere with ecosystem functioning. This silent invader constantly encroaches into waterways, eventually making them unusable by people and uninhabitable to aquatic fauna. Quantifying and mapping invasive plant species in aquatic ecosystems is important for efficient management and implementation of mitigation measures. This paper evaluates the ability of hyperspectral imagery, acquired using the HyMap sensor, for mapping water hyacinth in the Sacramento-San Joaquin Delta region. Classification was performed on sixty-four flightlines acquired over the study site using a decision tree which incorporated Spectral Angle Mapper (SAM) algorithm, absorption feature parameters in the spectral region between 0.4 and 2.5μm, and spectral endmembers. The total image dataset was 130GB. Spectral signatures of other emergent aquatic species like pennywort (Hydrocotyle ranunculoides) and water primrose (Ludwigia peploides) showed close similarity with the water hyacinth spectrum, however, the decision tree successfully discriminated water hyacinth from other emergent aquatic vegetation species. The classification algorithm showed high accuracy (κ value = 0.8) in discriminating water hyacinth.

Paper Details

Date Published: 27 September 2006
PDF: 12 pages
Proc. SPIE 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, 629804 (27 September 2006); doi: 10.1117/12.676265
Show Author Affiliations
Sepalika S. Rajapakse, Univ. of California, Davis (United States)
Shruti Khanna, Univ. of California, Davis (United States)
Margaret E. Andrew, Univ. of California, Davis (United States)
Susan L. Ustin, Univ. of California, Davis (United States)
Mui Lay, Univ. of California, Davis (United States)

Published in SPIE Proceedings Vol. 6298:
Remote Sensing and Modeling of Ecosystems for Sustainability III
Wei Gao; Susan L. Ustin, Editor(s)

© SPIE. Terms of Use
Back to Top