A study of human analysts' performance during geospatial data inspection explores the feasibility of gaze tracking as a disambiguation tool in the visual search for a target in high-resolution imagery.
Processing digital orthoimagery with LIDAR data helped one water management district in the state of Florida to create accurate, high-resolution digital terrain models. March 2006 Geospatial Solutions
When the Southwest Florida Water Management District (SWFWMD) teamed with Polk County's property appraiser to map more than 2,000 square miles of land, project specifications could not have been more stringent. The key deliverables ? ortho-imagery and digital terrain models (DTMs) ? had to meet the exacting accuracy requirements dictated by the diverse needs of the district, the county, and the Federal Emergency Management Agency (FEMA). What's more, product accuracies had to be verified in accordance with Florida statutes and delivered within the specified time.
Minnesota researchers compare Farm Service Agency (FSA) digital orthophotos with those from the U.S. Geological Survey to evaluate the planimetric accuracy of the FSA data and determine whether topographic variation impacts accuracy. March 2006 Geospatial Solutions
In 2002, the Farm Service Agency (FSA) partnered with Minnesota state agencies to develop an updated set of statewide digital orthophoto quadrangles (DOQs). Private companies and government agencies throughout the state had been using U.S. Geological Survey (USGS) DOQs from the early 1990s to create land-cover inventories, and demand for a more current dataset was high.
To resolve issues related to landbase inconsistencies, a consortium of stakeholders in the Tallahassee/Leon County GIS turned to LIDAR to update their topographic database, validating results and accuracies via GPS and conventional surveying.