Remote Aircraft Pilot | Saint Louis Community College

Skills & Competencies

Skills developed through this program

Auto-populatedfrom 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-populatedfrom O*NET + BLS

Occupations matched to this program, with median wage, top wage, growth, and openings
SOC	Occupation	Method	Wage	Growth	Openings
Match confidence: medium19-2099.01	Remote Sensing Scientists and Technologists	title_inference	—	—	—

Program Pathways

Credentials this program stacks toward

No program pathways.

What You'll Learn

Key competencies developed through this program

Auto-populatedfrom NSX Competency Framework

Mastery: developing (Level 2)(based on Certificate)

Remote sensing data pipelines — manage end-to-end processing of aerial and satellite imagery with reduced oversight on routine project deliverables.
GIS and image analysis software — perform multi-layer spatial analyses and produce derivative data products for standard land cover mapping projects.
Ancillary geospatial datasets — integrate elevation, census, and environmental data into remote sensing projects to enrich analytical outputs.
Geospatial data repositories — maintain organized, version-controlled archives and associated documentation across multiple concurrent projects.
Image compilation workflows — apply radiometric and geometric correction procedures to improve imagery quality and analytical utility.
Project reports and presentations — prepare clear written reports and slide decks summarizing geospatial findings for internal stakeholders.
Statistical analysis software — apply classification algorithms and accuracy assessment methods to evaluate remote sensing map outputs.
Team communications — contribute technical input during project planning discussions, clearly conveying equipment and methodology requirements.
Database management systems — design and query geospatial databases to store, retrieve, and manage large volumes of sensor-derived data.
Cloud-based processing platforms — configure and run batch processing jobs on cloud infrastructure to handle moderate-scale imagery datasets.

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.