OBJECTIVE
Utilize multi-temporal hyperspectral imagery from 2000-2018 in the Hawaiian Islands to develop new capabilities for global coral reef habitat assessment and monitoring.
FUNDING AGENCY
National Aeronautics and Space Administration (NASA)
PARTNERS
Cramer Fish Sciences
University of California Davis
SOLUTION
Developed a data processing workflow for deriving water depth and seafloor reflectance from hyperspectral imagery without need for any localized input.
Processing steps included procedures for transforming raw imagery to Analysis Ready Data (ARD), a semi-analytical optimization model for spectral analysis of water and seafloor parameters, and an automated method for quantifying output confidence levels. Output was validated using high resolution lidar bathymetry data and field observations of seafloor habitat composition.
Project results have advanced hyperspectral data analysis capabilities and expanded our ability to achieve automated widespread mapping and monitoring of global coral reefs.
DATA
Hyperspectral | AVIRIS Classic
Lidar | Coastal Zone Mapping and Imaging Lidar (CZMIL)
PUBLICATIONS & PRESENTATIONS
Goodman JA, Lay M, Ramirez L, Ustin SL, Haverkamp PJ, 2020, Confidence Levels, Sensitivity, and the Role of Bathymetry in Coral Reef Remote Sensing Remote Sens. Vol. 12, 29pp.
Haverkamp PJ, Goodman J, Ross K, Ramirez L, Lay M, Ustin SL, 2019, Benthic Habitat Change in Hawaiian Coral Reefs Between 2000-2017 Using Hyperspectral Remote Sensing presented at British Ecological Society 2019 Annual Meeting, Belfast, Northern Ireland.
Goodman J, Haverkamp PJ, Lay M, Ustin SL, Ramirez L, 2019, Coral Reef Remote Sensing Through Space and Time: Implications for Global Monitoring and Assessment presented at 2019 NASA Biodiversity and Ecological Forecasting Team Meeting, Washington, DC.
Goodman J, Ramirez L, Lay M, Ustin SL, Haverkamp PJ, 2018, Change Detection in Hawaiian Coral Reefs from 2000-2017 Using AVIRIS and Simulated HyspIRI Imagery: Initial Results presented at 2018 Ocean Sciences Meeting, Portland, Oregon.
Image (top): NOAA | Image Data (bottom): AVIRIS/JPL/NASA
