In March 2016, Quantum Spatial (QSI) was contracted by the United States Geological Survey (USGS), in collaboration with the Washington Department of Natural Resources (WADNR), to collect Light Detection and Ranging (LiDAR) data for the Western Washington 3DEP QL1 LiDAR project site in the state of Washington. The Western Washington 3DEP LiDAR project area covers approximately 3.5 million acres within portions of thirteen counties in the state of Washington; Whatcom, Skagit, Snohomish, Thurston, Lewis, Clark, Cowlitz, Wahkiakum, Skamania, and Grays Harbor. Data were collected to aid USGS in assessing the topographic and geophysical properties of the study area.

For the Western Washington 3DEP LiDAR project, the monument coordinates contributed no more than the listed positional error to the geolocation of the final ground survey points and LiDAR, with 95% confidence.

Upon completion of data acquisition, QSI processing staff initiated a suite of automated and manual techniques to process the data into the requested deliverables. Processing tasks included GPS control computations, smoothed best estimate trajectory (SBET) calculations, kinematic corrections, calculation of laser point position, sensor and data calibration for optimal relative and absolute accuracy, and LiDAR point classification (Table 9). Processing methodologies were tailored for the landscape.

In March 2016, Quantum Spatial (QSI) was contracted by the United States Geological Survey (USGS), in collaboration with the Washington Department of Natural Resources (WADNR), to collect Light Detection and Ranging (LiDAR) data for the Western Washington 3DEP QL1 LiDAR project site in the state of Washington. The Western Washington 3DEP LiDAR project area covers approximately 3.5 million acres within portions of thirteen counties in the state of Washington; Whatcom, Skagit, Snohomish, Thurston, Lewis, Clark, Cowlitz, Wahkiakum, Skamania, and Grays Harbor. Data were collected to aid USGS in assessing the topographic and geophysical properties of the study area.

For the Western Washington 3DEP LiDAR project, the monument coordinates contributed no more than the listed positional error to the geolocation of the final ground survey points and LiDAR, with 95% confidence.

Upon completion of data acquisition, QSI processing staff initiated a suite of automated and manual techniques to process the data into the requested deliverables. Processing tasks included GPS control computations, smoothed best estimate trajectory (SBET) calculations, kinematic corrections, calculation of laser point position, sensor and data calibration for optimal relative and absolute accuracy, and LiDAR point classification (Table 9). Processing methodologies were tailored for the landscape.