Description
Collect, process, and analyze Earth-surface data from satellites, aircraft, and UAVs using multispectral/hyperspectral imagery, lidar, and SAR to produce accurate maps, models, and measurements for planning, engineering, and environmental applications.
- • Review remote sensing standards, sensors, and processing workflows; recommend upgrades or changes.
- • Train staff in remote sensing acquisition, radiometric/geometric correction, and QA/QC procedures.
- • Plan and direct remote sensing projects and teams, providing technical guidance.
- • Distribute imagery, point clouds, and derived products to clients and agencies with proper metadata.
- • Stay current on sensors, platforms, and processing techniques through research and professional engagement.
- • Verify positional and radiometric accuracy of acquired imagery and lidar using check points and statistics.
- • Request re-flights or re-tasking when acquisition gaps, clouds, or quality issues violate specifications.
- • Prepare acquisition plans, progress updates, and technical reports with accuracy assessments.
- • Maintain geospatial databases of imagery, point clouds, DEMs, classifications, and metadata.
- • Align and fuse multi-source datasets (imagery, lidar, SAR, GNSS) to ensure consistency for engineering and mapping projects.
- • Establish and verify ground control and tie points for image orientation and lidar calibration.
- • Generate and validate DEMs, DSMs, and elevation contours from lidar or stereo imagery.
- • Analyze remote sensing outputs to ensure compliance with ASPRS/FGDC accuracy and classification standards.
- • Assess data completeness, noise, and artifacts to determine need for additional acquisition or ground truthing.
- • Orthorectify and georeference imagery; compute sensor models to ensure accurate feature placement.
- • Extract features, land cover, and measurements (areas, volumes, change) from multispectral, hyperspectral, SAR, and lidar datasets.
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Last reviewed: Jan 2026
