Will “Remote Sensing Engineer” be Replaced By Robots? 🤔

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Job Description

Apply remote sensing principles and methods to analyze data and solve problems in areas such as natural resource management, urban planning, or homeland security. May develop new sensor systems, analytical techniques, or new applications for existing systems.

Job Details

The SOC (Standard Occupational Classification) code is 19-2099.01

☝️ Information based on the reference occupation “Remote Sensing Scientists and Technologists”.

Also Known As…

Tasks for “Remote Sensing Engineer”

Organize and maintain geospatial data and associated documentation.
Direct all activity associated with implementation, operation, or enhancement of remote sensing hardware or software.
Apply remote sensing data or techniques, such as surface water modeling or dust cloud detection, to address environmental issues.
Train technicians in the use of remote sensing technology.
Manage or analyze data obtained from remote sensing systems to obtain meaningful results.
Conduct research into the application or enhancement of remote sensing technology.
Direct installation or testing of new remote sensing hardware or software.
Process aerial or satellite imagery to create products such as land cover maps.
Design or implement strategies for collection, analysis, or display of geographic data.
Set up or maintain remote sensing data collection systems.
Monitor quality of remote sensing data collection operations to determine if procedural or equipment changes are necessary.
Prepare or deliver reports or presentations of geospatial project information.
Attend meetings or seminars or read current literature to maintain knowledge of developments in the field of remote sensing.
Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS).
Participate in fieldwork.
Discuss project goals, equipment requirements, or methodologies with colleagues or team members.
Compile and format image data to increase its usefulness.
Use remote sensing data for forest or carbon tracking activities to assess the impact of environmental change.
Collect supporting data, such as climatic or field survey data, to corroborate remote sensing data analyses.
Integrate other geospatial data sources into projects.
Recommend new remote sensing hardware or software acquisitions.
Develop or build databases for remote sensing or related geospatial project information.
Develop automated routines to correct for the presence of image distorting artifacts, such as ground vegetation.
Develop new analytical techniques or sensor systems.

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Hyperspectral imaging equipment
Doppler Rayleigh laser imaging ranging and detecting LIDAR systems
Thermal imaging systems
Desktop computers
Spectral imaging systems
Spaceborne imaging systems
Airborne imaging systems
Personal computers
Multispectral imaging equipment
Mainframe computers

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