Paper
10 October 2008 Multitemporal spectroradiometry-guided object-oriented classification of salt marsh vegetation
Daniel L. Civco, Martha S. Gilmore, Emily H. Wilson, Nels Barrett, Sandy Prisloe, James D. Hurd, Cary Chadwick
Author Affiliations +
Abstract
This study addresses the use of multitemporal field spectral data, satellite imagery, and LiDAR top of canopy data to classify and map common salt marsh plant communities. Visible to near-infrared (VNIR) reflectance spectra were measured in the field to assess the phenological variability of the dominant species - Spartina patens, Phragmites australis and Typha spp. The field spectra and single date LiDAR canopy height data were used to define an objectoriented classification methodology for the plant communities in multitemporal QuickBird imagery. The classification was validated using an extensive field inventory of marsh species. Overall classification accuracies were 97% for Phragmites, 63% for Typha spp. and 80% for S. patens meadows. Using a fuzzy assessment analysis, these accuracies were 97%, 76%, and 92%, respectively, for the three major species.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel L. Civco, Martha S. Gilmore, Emily H. Wilson, Nels Barrett, Sandy Prisloe, James D. Hurd, and Cary Chadwick "Multitemporal spectroradiometry-guided object-oriented classification of salt marsh vegetation", Proc. SPIE 7110, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII, 71100A (10 October 2008); https://doi.org/10.1117/12.800016
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Vegetation

Image classification

LIDAR

Reflectivity

Image segmentation

Satellites

Near infrared

RELATED CONTENT


Back to Top