Paper
7 January 2004 Coastal land-cover mapping: a comparison of PHILLS, HyMAP, and PROBE2 airborne hyperspectral imagery
Charles M Bachmann, Timothy F Donato, Robert A Fusina, Richard Lathrop, Joseph Geib, Andrew L Russ, Joseph Burke, Michael H Bettenhausen, Jeffrey H Bowles, Gia M Lamela, W Joseph Rhea, Barry R Truitt, John H Porter
Author Affiliations +
Abstract
This study focuses on Coastal land cover classification from airborne hyperspectral at two sites. Our primary study area, is a chain of barrier islands, collectively known as the Virginia Coast Reserve (VCR); the second site is located in and around Barnegat Bay, NJ. At the Barnegat Bay site, hyperspectral imagery was acquired by PHILLS during a two week campaign in late July and early August. The present work examines land-cover models for PHILLS imagery subsets acquired on August 2, 2001. At the VCR site, we have acquired an extensive time-series of PROBE2 imagery over six of the barrier islands, as well as one HyMAP scene. Multi-season models have been developed that take advantage of seasonal differences in land-cover to improve classification accuracy. Automatic classification experiments consider roughly 20-25 categories of land-cover at the two different sites. Categories include a variety of wetland plant species (brackish and freshwater), beach, dune, and upland plant species and plant communities. We also examine in detail detectability and accuracy of mapping invasive plant species such as Phragmites australis, which pose a particular challenge to natural resource managers.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Charles M Bachmann, Timothy F Donato, Robert A Fusina, Richard Lathrop, Joseph Geib, Andrew L Russ, Joseph Burke, Michael H Bettenhausen, Jeffrey H Bowles, Gia M Lamela, W Joseph Rhea, Barry R Truitt, and John H Porter "Coastal land-cover mapping: a comparison of PHILLS, HyMAP, and PROBE2 airborne hyperspectral imagery", Proc. SPIE 5159, Imaging Spectrometry IX, (7 January 2004); https://doi.org/10.1117/12.509660
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Cited by 1 scholarly publication.
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KEYWORDS
Vegetation

Hyperspectral imaging

RGB color model

Data modeling

Image classification

Image fusion

Error analysis

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