Description
Analyze and interpret satellite, aerial, and ground-based imagery using remote sensing principles to support natural resource management, urban planning, environmental monitoring, and security applications. Produce geospatial products, maintain databases, automate processing workflows, ensure data quality, and communicate insights to stakeholders.
- • Analyze satellite, aerial, and ground-based remote sensing data using GIS and image analysis software.
- • Build and maintain geospatial databases for remote sensing projects.
- • Integrate ancillary geospatial data (e.g., elevation, vector layers, climate) to support analyses.
- • Process imagery to produce deliverables such as land cover, change detection, and classification maps.
- • Design and document workflows for data ingestion, preprocessing, analysis, and visualization.
- • Compile, format, and standardize image datasets and metadata for usability and traceability.
- • Conduct quality assurance/quality control on imagery and derived products; troubleshoot data issues.
- • Develop automation routines and tools to streamline processing and reduce manual effort.
- • Evaluate and implement new analytical methods, models, or software tools relevant to remote sensing.
- • Collaborate with team members to define project goals, requirements, timelines, and methodologies.
- • Prepare maps, dashboards, technical reports, and presentations to communicate findings.
- • Manage large datasets and pipelines to ensure performance, reproducibility, and version control.
- • Collect or compile ground truth, field survey, or climate data to validate analyses.
- • Apply remote sensing techniques to environmental monitoring, natural resource assessment, and urban planning.
- • Support forest monitoring and carbon accounting using optical, SAR, or LiDAR data as appropriate.
- • Monitor data acquisition schedules and data quality; coordinate with providers to resolve gaps.
- • Assist with configuration, testing, and enhancement of remote sensing software environments.
- • Recommend new data sources, software, or cloud services to improve analysis and efficiency.
- • Maintain documentation, standard operating procedures, and data dictionaries.
- • Train colleagues or stakeholders in remote sensing tools, workflows, and data interpretation.
- • Participate in fieldwork or mobile data collection to support calibration and validation.
- • Adhere to data governance, security, and compliance requirements for geospatial data.
- • Stay current with remote sensing advances by attending webinars, trainings, and reading literature.
- • Perform radiometric, atmospheric, and geometric corrections; develop and run preprocessing scripts.
Related specializations
Interview options
Interview options
Interviewee gender
Interviewee accent
Interview time
Related Pathways
Energy & Natural Resources
View
Source
Tasks & skills:
O*NET occupational data (work activities, skills, knowledge).
Learn more
Sources & Standards:
This site includes information from O*NET by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Career Clutch has modified some of this information for student readability. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.
Last reviewed: Jan 2026
