Geographic Resource Solutions

The National Park Service contracted with GRS to perform a comprehensive landcover classification of Lassen Volcanic National Park (LAVO) in northern California. The National Park Service had dual goals in this project: the first goal was to create a detailed vegetation map for LAVO; the second goal was to compare traditional aerial photo‐interpretation methodology with the Discrete Classification Mapping Methodology developed by GRS.

Started in the spring of 2008, this vegetation classification and mapping project being performed for the National Park Service encompasses over 136,000 acres of Redwood National and State Parks. The vegetation and terrain in this project range from the rocky shoreline and beach sands of the Northern California coast through the cathedral‐like redwood forests and up to the meadows, prairies and oak woodlands that crown the coastal ranges.

The Inventory and Monitoring (I&M) Program of the National Park Service (NPS) sought to provide reliable and consistent land cover information for Katmai National Park and Preserve (KATM) that may be used to assess the status and trends of national park ecosystems.  GRS was selected based on our unique land cover mapping techniques, which enabled the capture of detailed land cover characteristics.

GRS was selected by National Park Service to create a detailed land-cover map of the Wrangell-St. Elias National Park and Preserve. This 13-million acre park is the largest U.S. National Park and is characterized by its rugged terrain including magnificent mountains, glaciers, river valleys, and coastal shoreline.

GRS was contracted by the Forest and Rangeland Resources Assessment Program (FRRAP) of California Department of Forestry to perform a remote sensing classification encompassing the 18-million acre Klamath Province in northern California.

GRS used Landsat Thematic Mapper data to classify vegetation types on the 700,000 acre Applegate Watershed located in Southwestern Oregon.