A Remote Sensing Technician collects, checks, and processes imagery and sensor data (satellite, aerial, drone, LiDAR, thermal) so scientists, planners, and surveyors can use it. Most people in this job have a bachelor's degree in geography, GIS, environmental science, or a related field, but a strong portfolio of real projects matters a great deal. This roadmap starts with how maps and coordinates work, moves to hands-on image processing in free tools like QGIS and Google Earth Engine, then to job-ready workflows (drone and LiDAR data, accuracy checks, documentation), and finally to automation
See the full roadmap free
Every stage from beginner to expert, with lessons, practice drills, projects, interview questions and free resources. Free with a Rolearch account.
Stage 1 of 3 · about 10 weeks
Understand how geospatial data works and make your first maps and image analyses with free GIS software.
Coordinate systems, projections, and datums
Every layer you combine must line up on the Earth. If one layer is in WGS84 and another in a State Plane system, they will not overlay correctly, and this is the most common source of bad data in the field.
Core remote sensing concepts
You need to know what a sensor actually measures. Spatial, spectral, temporal, and radiometric resolution decide whether an image can answer a question, like whether you can tell healthy crops from stressed crops.
GIS basics in QGIS
QGIS is free and does most of what ArcGIS does, and the concepts transfer directly. Employers want you to handle vector and raster data comfortably.
Math and data literacy for imagery
Indices like NDVI, pixel statistics, and error measures are just arithmetic on bands. Being comfortable with them lets you check whether results make sense.
Then 2 more stages (about 42 weeks in all) with lessons, drills, projects, 6 interview questions with strong answers and free resources.