Forest Service Procures Feature Analyst® Site License

MISSOULA, Mont. – Visual Learning Systems, Inc. (VLS) and the U.S.D.A. Forest Service have reached agreement on a Feature Analyst site license to support agency mapping requirements. "The USDA Forest Service is pleased to have attained centralized licensing for Feature Analyst under the Leica Geosystems / Forest Service BPA contract.” explained Mike Morrison of the USDA Remote Sensing Application Center. “With the addition of Feature Analyst extensions for both ERDAS Imagine and ArcGIS the field units will now have the added flexibility to extract features from high resolution imagery and digital resource photography with an easy-to-use interface. In addition, stand alone licenses will be setup for checkout for use in forest fire damage assessments and other emergency situations."

Feature Analyst was the obvious choice in feature extraction for the Forest Service because of its accuracy, ease-of-use, and integration with leading commercial GIS and image processing software. “The selection of Feature Analyst by the USDA Forest Service is a great honor,” stated VLS CEO Dr. David Opitz. “A tremendous amount of hard work, communication, and analysis was invested by both organizations to achieve this goal.” Feature Analyst provides the Forest Service with enhanced feature extraction, landcover classification, and change detection capabilities for satellite and aerial imagery.

About VLS

Visual Learning Systems, Inc. is a world-wide leader in automated feature extraction solutions for the GIS industry. Feature Analyst and LIDAR Analyst, the VLS flagship software products, are used for 2D and 3D GIS database management and mapping applications supporting Defense, Homeland Security, Education, Environmental projects and more. As extensions to ERDAS IMAGINE, SOCET SET, the ArcGIS suite, and soon GeoMedia, Feature Analyst is used in every U.S. state, in over 50 countries and 100 universities. LIDAR Analyst is the revolutionary new VLS product that automates 3D capture of buildings, trees, and bare earth from LIDAR data. Additional information can be found at

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