MAPPING ENVIRONMENTAL STRESS IN ELKHORN SLOUGH, CENTRAL CALIFORNIA USING HYPERSPECTRAL DATA: A MANAGEMENT TOOL
FOR AN AT-RISK COASTAL ECOSYSTEM


Coastal zones contain some of the most biologically diverse and productive ecosystems on Earth. Over half of the world's current population, and much of its expected increase, also inhabits these coastal regions, exploiting their plentiful resources. Along with increased anthropogenic activity comes increasing impacts and biological stress in coastal and shallow marine ecological systems. To sustain development while decreasing loss of natural resources in these areas, it is necessary to monitor ongoing development and its effect through efficient environmental management practices. Collecting comprehensive data about the extent of resources and impacts, and having the ability to document temporal changes in these areas, are essential requirements for successful management and planning. We are using recent innovations in processing techniques of hyperspectral data to identify and map environmental stress in vegetation found around the terrestrial-aquatic interface of Elkhorn Slough in central California. Previous terrestrial work has shown that reflectance spectra of angiosperms are sensitive to a variety of physical, chemical and biological stresses, and that spectral changes are powerful indicators of acute and chronic environmental stress. Ratios of specific spectral bands have been shown to be reliable indicators of physiological plant stress (Carter, 1994).

Elkhorn Slough, located at the apex of the Monterey Bay Submarine Canyon, is California's second largest remaining coastal wetland (appx. 11 x 3 km). During the last glacial maximum, a river channel was incised through the Elkhorn Valley. Subsequent sea level rise invaded the incised valley creating Elkhorn Slough as the on-land extension of the Monterey Bay Canyon. A tidal embayment, salinity levels in the Slough may fluctuate seasonally from as high as 37 ppt in the drier summer months to as low as 17 ppt during the winter rainy season (Broenkow, 1977). Historically, the construction of dikes to impound tidal waters has diverted water flow and contributed to erosion of the main channel and surrounding wetlands. The home to many species of fish and invertebrates, Elkhorn Slough is also on the west coast bird migratory path: it has the second longest list (greater than 275 species) known in the United States. The wetlands provide important nursery and breeding grounds for many animals, and are regarded as one of the most important and productive ecological habitats in California. Its waters form part of the Monterey Bay National Marine Sanctuary, and many of its marshes form the boundaries of the Elkhorn Slough National Estuarine Research Reserve (ESNERR). Many agricultural lands lie outside the ESNERR boundaries, and current farming practices create runoffs of sediments, pesticides and fertilizers, which are infiltrating the Slough and creating additional risks for this ecosystem.

We are analyzing AVIRIS imagery to search for patterns of stress in vegetation, and obtaining data with higher spatial resolution and new spectral information of estuarine and aquatic plants with a hand-held spectroradiometer. We are taking readings along transects with known gradients of point and non-point source pollutants, and gradients with naturally occurring background stress. Although hyperspectral methods have been used in terrestrial systems for years, there have been few applications in coastal and shallow marine systems. Even less attention has been given to non-angiosperms and microorganisms that dominate intertidal floras. We are creating a spectral library for this ecosystem and systematically evaluating different stress indices for use with its estuarine plants. We are also evaluating chemical inputs to the system such as pesticides and nutrients. We will produce maps of vegetation distributions and stress that will provide management with a tool for sustainable ecosystem planning.

Click here for the web version of a poster pertaining to this work presented at the Sixth International Conference on Remote Sensing for Marine and Coastal Environments.

This portion of the project is also sponsored by the Cooperative Institute for Coastal and Estuarine Environmental Technology (CICEET), adminstered by NOAA and the University of New Hampshire.


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