Skip to main content
Advanced Search

Filters: partyWithName: Ecosystems (X) > Types: ArcGIS Service Definition (X) > partyWithName: John Y Takekawa (X)

2 results (8ms)   

View Results as: JSON ATOM CSV
thumbnail
Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for Suisun marsh using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (6912 points, collected across public and private land in 2018), Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (June 2018), a 1 m lidar DEM from September 2018, and a 1 m canopy surface model were used to generate models of predicted bias across the...
thumbnail
Recent interest has increased related to developing alternative sources of renewable energy to reduce dependence on oil. Some of those sources will include power generation infrastructure and support activities located within continental shelf waters, and potentially within deeper waters off the U.S. Pacific coast and beyond state waters (i.e., outside three nautical miles). Currently, the Bureau of Ocean Energy Management (BOEM) is considering renewable energy proposals off the coast of Oregon. The 2011-2012 Pacific Continental Shelf Environmental Assessment (PaCSEA) project is intended to provide new information on species composition, distribution, abundance, seasonal variation, and habitat utilization among...


    map background search result map search result map Pacific Continental Shelf Environmental Assessment (PaCSEA) GIS Resource Database LEAN-Corrected DEM for Suisun Marsh LEAN-Corrected DEM for Suisun Marsh Pacific Continental Shelf Environmental Assessment (PaCSEA) GIS Resource Database