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Automation Risk Analysis

Will “Remote Sensing Specialist” be Automated?

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AI Exposure Risk

60%

“Remote Sensing Specialist” will maybe be replaced by AI.

Based on the cognitive demands, communication requirements, and logical reasoning intrinsic to this occupation according to O*NET data, we project a 60% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

36%

“Remote Sensing Specialist” will probably not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 36% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Remote Sensing Scientists and Technologists, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: 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 Title & Hierarchy Code (SOC) Remote Sensing Scientists and Technologists #19-2099.01
ℹ️

Data is based on the reference occupation: “Remote Sensing Scientists and Technologists”

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Core Skills & Abilities

  • Train technicians in the use of remote sensing technology.

  • Develop automated routines to correct for the presence of image distorting artifacts, such as ground vegetation.

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

  • Set up or maintain remote sensing data collection systems.

  • Participate in fieldwork.

  • Manage or analyze data obtained from remote sensing systems to obtain meaningful results.

  • Compile and format image data to increase its usefulness.

  • Monitor quality of remote sensing data collection operations to determine if procedural or equipment changes are necessary.

  • Process aerial or satellite imagery to create products such as land cover maps.

  • Develop new analytical techniques or sensor systems.

  • Direct installation or testing of new remote sensing hardware or software.

  • 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.

  • Collect supporting data, such as climatic or field survey data, to corroborate remote sensing data analyses.

  • Organize and maintain geospatial data and associated documentation.

  • Design or implement strategies for collection, analysis, or display of geographic data.

  • Use remote sensing data for forest or carbon tracking activities to assess the impact of environmental change.

  • Integrate other geospatial data sources into projects.

  • Direct all activity associated with implementation, operation, or enhancement of remote sensing hardware or software.

  • Recommend new remote sensing hardware or software acquisitions.

  • Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS).

  • Conduct research into the application or enhancement of remote sensing technology.

  • Discuss project goals, equipment requirements, or methodologies with colleagues or team members.

  • Develop or build databases for remote sensing or related geospatial project information.

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  • Apache Kafka
  • UgCS
  • Puppet
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  • Apache Hive
  • Go
  • Amazon Web Services AWS software
  • OpenDroneMap
  • Mistral AI (chat/models)
  • Node.js
  • Amazon Web Services AWS CloudFormation
  • Oracle Java
  • Selenium
  • C++
  • The MathWorks MATLAB
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  • Python
  • Microsoft Word
  • Apache HTTP Server
  • Consensus
  • Gemini for Workspace
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  • Microsoft PowerPoint
  • Linux
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  • Git
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  • Microsoft Visual Studio
  • Mistral (Mistral AI)
  • Microsoft Project
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  • Image processing software
  • Litchi
  • BAE Systems SOCET GXP
  • Perl
  • Oracle Database
  • Extensible markup language XML
  • Ruby
  • R
  • ESRI Site Scan for ArcGIS
  • ESRI ArcGIS software
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  • NotebookLM (Google)
  • GitHub
  • Amazon Redshift
  • RSI ENVI
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  • Microsoft SQL Server
  • DeepSeek
  • C
  • Docker
  • Ansible software
  • Leica Geosystems ERDAS IMAGINE
  • Apache Hadoop
  • Objective C
  • Perplexity AI
  • CloudCompare
  • Elicit
  • Ruby on Rails
  • Scala
  • Interface definition language IDL
  • Bash
  • Hyperspectral imaging equipment
  • Multi-rotor unmanned aerial vehicles UAV
  • Mainframe computers
  • Landing pad
  • Fixed wing unmanned aerial vehicles UAV
  • Airborne imaging systems
  • Anemometers
  • Power generators
  • DroneDeploy
  • Global positioning system GPS devices
  • Doppler Rayleigh laser imaging ranging and detecting LIDAR systems
  • Personal computers
  • Multispectral imaging equipment
  • Multimeters
  • Thermal imaging systems
  • Spectrum analyzers
  • Synthetic aperture radar SAR
  • Two way radios
  • Ground control targets
  • DroneLogbook
  • Desktop computers
  • Spectral imaging systems
  • Spaceborne imaging systems
  • Airfield lighting equipment
  • Tablet computers
  • DJI GS Pro

Alternative Job Titles