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  1. Programs
  3. Remote Sensing

Remote Sensing

University of North Alabama

Post-Baccalaureate CertificateAcademic

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

No description available.

Format

In-Person

Eligibility Calculator

Which aid programs apply to this program?

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Program Pathways

Credentials this program stacks toward

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Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.

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Locations

Where this program is offered

  • Alabama

    Alabama

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Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 19-2099.01

Skills

Reading ComprehensionCritical ThinkingActive ListeningWritingSpeakingScienceMathematicsComplex Problem Solving

Knowledge

GeographyMathematicsComputers and ElectronicsEngineering and TechnologyEnglish Language

Abilities

Deductive ReasoningInductive ReasoningOral ComprehensionWritten ComprehensionOral ExpressionWritten ExpressionProblem SensitivityNear VisionInformation OrderingMathematical Reasoning

Tasks

  • Manage or analyze data obtained from remote sensing systems to obtain meaningful results.
  • Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analys
  • Integrate other geospatial data sources into projects.
  • Develop protocols and procedures for planning and executing drone-based remote sensing missions to ensure they comply with standards and requirements.

Technology

Graphics or photo imaging softwareCharting softwareAnalytical or scientific softwareProject management softwareData base management system software

Tools

Airborne imaging systemsAirfield lighting equipmentAnemometersDJI GS ProDesktop computersDoppler Rayleigh laser imaging ranging and detecting LIDAR systemsDroneDeployDroneLogbookFixed wing unmanned aerial vehicles UAVGlobal positioning system GPS devicesGround control targetsHyperspectral imaging equipmentLanding padMainframe computersMulti-rotor unmanned aerial vehicles UAV

Work Values

AchievementRecognitionIndependenceWorking ConditionsSupportRelationships
Career Pathways

Occupations this program prepares you for

Auto-populated·from O*NET + BLS
Occupations matched to this program, with median wage, top wage, growth, and openings
SOCOccupationMethodWageGrowthOpenings
Match confidence: medium19-2099.01Remote Sensing Scientists and Technologiststitle_inference———
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: proficient (Level 3)(based on Post-Baccalaureate Certificate)

  • Complex remote sensing datasets — design and execute advanced analytical workflows autonomously, deriving actionable insights across multispectral, hyperspectral, and LiDAR data types.
  • Critical project decisions — apply expert judgment to select appropriate sensors, platforms, and analytical methodologies for non-routine environmental monitoring challenges.
  • Multi-source geospatial integration — fuse satellite, airborne, and ground-based datasets seamlessly into unified spatial models for high-stakes deliverables.
  • Advanced classification systems — develop and validate supervised and unsupervised machine learning models for land cover and change detection mapping.
  • Geospatial data quality assurance — establish and enforce rigorous accuracy assessment protocols to ensure analytical integrity across the full project lifecycle.
  • Technical reports and presentations — author peer-quality written analyses and deliver compelling presentations of geospatial results to diverse technical audiences.
  • Systems analysis — evaluate the performance of remote sensing data collection systems against project objectives and recommend operational improvements.
  • Expert system and analytical software — configure and customize scientific toolsets to solve complex geospatial problems without external assistance.
  • Cross-disciplinary data synthesis — incorporate biology, physics, and engineering knowledge domains to interpret remote sensing signals in applied environmental contexts.
  • Project methodology design — lead technical scoping discussions with colleagues to define data acquisition strategies, processing chains, and success criteria.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Auto-populated·from Scorecard + DOL
Completion Rate
65%
Placement Rate
25%