GIS Remote Sensing QA
Job Details
- Experience
- 4–5 years of professional experience in GIS, remote sensing, satellite imagery interpretation, or a closely related field.
Requirements
- Have 4–5 years of professional experience in GIS, remote sensing, satellite imagery interpretation, or a closely related field.
- Have hands-on experience working with high-resolution satellite and/or aerial imagery.
- Demonstrate visual interpretation skills for built features, land disturbance, surface characteristics, and changes over time.
- Have experience with multi-temporal imagery comparison, change detection, feature validation, and reference-data analysis.
- Be proficient with QGIS and/or ArcGIS for visualization, digitization, spatial analysis, and geospatial data management.
- Understand imagery quality factors, including resolution, acquisition timing, cloud cover, and shadows, and their impact on interpretation confidence.
- Have practical experience performing geospatial quality assurance and quality control.
- Be familiar with SHP, KML/KMZ, GeoJSON, GeoTIFF, and other commonly used GIS data formats.
- Have strong attention to detail and the ability to identify inconsistencies or spatial discrepancies.
- Have analytical, organizational, documentation, and communication skills.
- Be able to work independently while maintaining consistent quality standards and project timelines.
- Hold a bachelor’s or master’s degree in Geography, Geoinformatics, Remote Sensing, Civil Engineering, Urban Planning, or a related discipline.
- Experience interpreting urban imagery or mapping the built environment is preferred.
- Familiarity with commercial high-resolution satellite imagery providers or imagery platforms is an advantage.
Responsibilities
- Interpret high-resolution satellite and aerial imagery to identify, classify, and assess physical features and changes within the built environment.
- Compare imagery from different dates to identify spatial changes and document observations.
- Validate interpreted features against reference datasets, identify discrepancies, and record uncertainty where applicable.
- Digitize, update, and maintain spatial features and associated attributes using QGIS and/or ArcGIS.
- Assess imagery suitability by considering spatial resolution, acquisition date, cloud cover, shadows, and other image-quality factors.
- Perform geospatial QA/QC checks to verify the accuracy, completeness, consistency, and reliability of project deliverables.
- Prepare, validate, and manage datasets in formats such as SHP, KML/KMZ, GeoJSON, and GeoTIFF.
- Document analytical methods, observations, quality findings, and project outcomes.
- Create maps and concise analytical summaries to communicate findings to project stakeholders.
- Support project teams in resolving data discrepancies and maintaining consistent geospatial interpretation standards.