Aquatic Vegetation Mapping in Elkhorn Slough, Central California, USA
The Elkhorn Slough National Estuarine Research Reserve is the largest property in the reserve system in the United States. It is home to hundreds of species of birds as well as many species of large terrestrial and aquatic mammals. The reserve itself is subject to a myriad of environmental stressors as well. This region of California is highly agriculturized, and as such, large amounts of fertilizers and pesticides drain into the slough every year. The mouth of the slough is also home to a large power plant that will soon discharge thermal waters into the slough itself. As part of the reserve's efforts to maintain the health and diversity of the present estuarine ecosystem,
several research studies are underway, many of which are geared towards the baselining of the present environmental
status of the slough ecosystem. Part of one of these studies involves the use of hyperspectral remote sensing to
both map and possibly determine the health of important slough vegetation species. One of these species is
Zostera marina or Eelgrass.
The monitoring of eelgrass distribution is important for several reasons including:
Over 450 km2 of hyperspectral imagery was flown of Elkhorn Slough using the
HyMap sensor. Each flightline
was approximately 1.7km wide and the nominal pixel size was 3m. Using a priori knowledge, spectral
signatures of eelgrass were extracted from the imagery itself and used with several classification algorithms
in order to map eelgrass distribution within the slough.
Mapping results for eelgrass in Elkhorn Slough: ![]() Dataset: HyMap Image credit: Daria Siciliano, UCSC Characteristics: 126 bands, 3m pixel, north to the left, flown at high tide Processing shown: The image on the left is a "stretched" color RGB image of the central part of Elkhorn Slough. Notice the water in the slough appears dark and little vegetation appears to live in these waters. The classified image on the right shows the mapping of eelgrass communities using several different computer driven algorithms. Notes: Such maps are critical for environmental baselining projects. This simple example shows the power of hyperspectral remote sensing for aquatic vegetation mapping. |
• Land
• Air
• Water
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