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Remote Sensing Digital Image Processing Jobs (NOW HIRING)

Merge scanned images or build photo mosaics of large areas, using image processing software ... digital cameras, or notebook computers. What Skills Do You Need to Work as a Remote Sensing ...

Remote Sensing Technician (RST) primary duties are for field data collection of remote sensing data ... Assists with hydrographic and marine survey planning, field data collection, and data processing.

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Remote Sensing Digital Image Processing information

What are some common challenges faced by professionals in Remote Sensing Digital Image Processing, and how can they be addressed?

Professionals in Remote Sensing Digital Image Processing often encounter challenges such as managing large data volumes, ensuring data quality, and accurately interpreting complex imagery. To address these, it's important to develop strong skills in data preprocessing, stay updated with the latest software tools, and collaborate closely with domain experts like geographers or environmental scientists. Regular training and participation in interdisciplinary projects can also help in overcoming technical and analytical challenges, ensuring accurate and meaningful results.

What is remote sensing digital image processing?

Remote sensing digital image processing involves analyzing and interpreting images captured by sensors on satellites, drones, or aircraft to extract useful information about the Earth's surface. This field uses advanced computational techniques to process raw image data, correct distortions, enhance features, and classify land cover or detect changes over time. These processed images support applications in fields like agriculture, environmental monitoring, urban planning, and disaster management. Experts in this area use specialized software and algorithms to transform raw sensor data into actionable insights.

What is the difference between Remote Sensing Digital Image Processing vs GIS Analyst?

AspectRemote Sensing Digital Image ProcessingGIS Analyst
Required CredentialsBachelor's in Geospatial, Remote Sensing, or related fields; certifications like ASPRS or GIS certificationsBachelor's in Geography, GIS, or related fields; GIS certifications often preferred
Work EnvironmentField data collection, satellite image analysis, software-based processingOffice-based, spatial data analysis, map creation, and data management
Industry UsageUsed in environmental monitoring, agriculture, defense, and urban planningApplied in urban planning, transportation, resource management, and environmental studies

While both roles involve geospatial data, Remote Sensing Digital Image Processing focuses on analyzing satellite and aerial imagery, whereas GIS Analysts work with a broader range of spatial data to create maps and support decision-making. Both careers require similar educational backgrounds and certifications, but their daily tasks and industry applications differ.

What are the key skills and qualifications needed to thrive as a Remote Sensing Digital Image Processing Specialist, and why are they important?

To thrive as a Remote Sensing Digital Image Processing Specialist, you need a strong background in geospatial sciences, image analysis, and remote sensing principles, typically supported by a degree in geography, environmental science, or a related field. Proficiency with software tools such as ENVI, ERDAS Imagine, ArcGIS, and programming languages like Python or MATLAB is commonly required, along with relevant certifications in GIS or remote sensing. Critical thinking, attention to detail, and effective communication are valuable soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills ensure the accurate extraction and interpretation of spatial information, supporting data-driven decision-making in applications such as environmental monitoring and urban planning.
Remote Sensing Image Scientist/Physicist/Engineer

Remote Sensing Image Scientist/Physicist/Engineer

Arcfield

King Of Prussia, PA โ€ข On-site, Remote

Full-time

Posted 12 days ago


Job description

Responsibilities
Candidate should have technical experience in image analysis of remote sensing systems data (PAN, IR, MSI, HSI, LIDAR, RADAR, etc.). Examples of relevant experience include radiometric or thermometric analysis, sensor/atmospheric calibration, MTF and SNR assessments, exploitation algorithm development, signal/image processing, modeling and simulation, and Fourier analysis.
Candidate must possess familiarity with image processing and software tools such as ENVI/IDL, MATLAB, or Python. Other beneficial skills could include experience with atmospheric radiative transfer models (e. g. MODTRAN), XML data handling, image product formats (NITF, JPEG, etc.), AI/ML tools and "big data" analysis techniques.
Responsibilities:
  • Perform studies and analysis to characterize and improve the quality of remote sensing data
  • Coordinate calibration planning by leading weekly payload calibration meetings, generate calibration handbooks, master schedules, data dissemination CONOPS, readiness plans, success criteria, and readiness review execution plans
  • Manage collaborative sites for calibration activities; create, populate, and maintain data repositories to allow distributed teams to access required data and collaborate on execution
  • Deliver and publish radiometric data, sensor characterization reports, and calibration task out briefs
  • Fully analyze and report findings of calibration truth data, characterize and report accuracy
  • Maintain and update scripts, processes and data required for calibration assessment and monitoring
  • Conduct analysis to validate test and transition of capabilities
  • Coordinate with external stakeholders to develop future capabilities, requirements updates and planning
  • Monitor and assess enterprise product and data integrity
  • Lead independent enterprise investigations of anomalous product quality performance and produce analysis to expedite problem identification and resolution

Qualifications
Required:
  • Must possess and be able to maintain a TS/SCI Clearance with Poly.
  • Bachelor's degree with 10-12 years of relevant experience, Master's degree with 8-10 years, or PhD with 5-7 years in Image Science, Optics, Applied Physics, Mathematics, or Engineering
  • Demonstrated ability to perform technical analysis of EO remote sensing data; image processing and digital signal processing experience; image chain analysis
  • Excellent presentation and communication skills; demonstrated ability to clearly explain technical issues to technical and non-technical audiences
  • Demonstrated ability and success working independently and in team environments
  • Customer focused and capable of representing the customer in user outreach, familiarity activities and community forums
  • Experience developing/modifying engineering code in at least one of Python, MATLAB, ENVI/IDL or similar to solve hard problems and create processes for repeatable results

Desired:
  • Bachelor's degree in Image Science, Optics, Applied Physics, Mathematics, or Engineering with 15 or more years of relevant experience, or master's degree with comparable experience
  • Project management or leadership experience
  • Experience working on product initialization teams
  • Experience with one or more of PAN, IR, MSI, HSI, LIDAR, or RADAR systems and analysis
  • Experience developing/modifying engineering code in multiple of Python, MATLAB, ENVI/IDL or similar to solve hard problems and create processes for repeatable results

EEO Statement
We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.