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Remote Sensing Scientists and Technologists

Remote Sensing Scientists and Technologists use satellites, drones, airplanes, and ground sensors to collect and analyze detailed images and data about Earth’s surface and atmosphere. They design data-collection strategies, manage large geospatial databases, and use tools like GIS (Geographic Information Systems), Python or R, and image analysis software (such as ENVI or ERDAS IMAGINE) to answer big questions about climate change, forests, cities, and national security. In more advanced roles, they lead research projects, develop new sensor systems or algorithms, train technical teams, and advise governments or companies on how to use remote sensing data to make smarter decisions about land use, disaster response, and environmental protection.

Remote Sensing Scientists and Technologists

Did you know?

Many positions with government agencies like NASA, NOAA, and the Department of Defense require security clearances, which can significantly impact job eligibility and career advancement opportunities.

At a glance

Typical average pay

$111,900 Avg/yr

Growth

Stable

Top skill

Reading Comprehension

Things to consider

Technical Proficiency in GIS and Programming

Employers increasingly demand expertise in Geographic Information Systems (GIS) software, programming languages like Python or R, and machine learning techniques for data analysis and interpretation.

Growing Market Demand

The field is experiencing rapid growth driven by climate change research, precision agriculture, and commercial satellite companies, creating diverse career paths in both public and private sectors.

Key responsibilities

  • Develop new analytical techniques or sensor systems.

  • Set up or maintain remote sensing data collection systems.

  • Apply remote sensing data or techniques, such as surface water modeling or dust cloud detection, to address environmental issues.

  • Prepare or deliver reports or presentations of geospatial project information.

  • Organize and maintain geospatial data and associated documentation.

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