Recruiter's Glossary

Examples: Magnetometry • Geothermal Gradient • Geochemical Sampling

Remote Sensing

Term from Exploration industry explained for recruiters

Remote Sensing is a way to gather information about places without physically being there, usually by using images from satellites, aircraft, or drones. Think of it like taking pictures from very high up to study the Earth's surface. This helps companies find natural resources, monitor environmental changes, or plan land development. It's similar to aerial photography but uses more advanced technology that can "see" things the human eye can't, like heat patterns or mineral deposits. Companies in mining, oil and gas, environmental consulting, and agriculture regularly use Remote Sensing to make important business decisions.

Examples in Resumes

Used Remote Sensing techniques to identify potential mining sites

Analyzed Remote Sensing data to assess environmental impact of pipeline routes

Led team in Remote Sensing and Satellite Imagery interpretation for oil exploration

Applied Remote Sensing and Earth Observation methods to map agricultural areas

Typical job title: "Remote Sensing Specialists"

Also try searching for:

Remote Sensing Analyst GIS Specialist Earth Observation Specialist Geospatial Analyst Remote Sensing Technician Imagery Analyst Exploration Geologist

Where to Find Remote Sensing Specialists

Professional Organizations

Job Boards

Professional Networks

Example Interview Questions

Senior Level Questions

Q: How would you plan a large-scale remote sensing project for mineral exploration?

Expected Answer: A senior specialist should describe project planning steps including choosing appropriate satellite/aerial data sources, considering environmental factors, coordinating team efforts, and explaining how they would integrate multiple data types to make reliable recommendations.

Q: What experience do you have with managing remote sensing data quality control?

Expected Answer: They should discuss methods for ensuring data accuracy, handling large datasets, implementing quality checks, and experience training others in data interpretation.

Mid Level Questions

Q: What different types of remote sensing data have you worked with?

Expected Answer: Should be able to explain working with different image types (satellite, aerial, drone) and describe basic differences between them and when to use each type.

Q: How do you validate remote sensing data with ground truth?

Expected Answer: Should explain how they verify satellite or aerial observations with actual field measurements or site visits to ensure accuracy.

Junior Level Questions

Q: What software tools do you use for remote sensing analysis?

Expected Answer: Should be familiar with basic industry software and able to describe simple analysis tasks they've performed.

Q: Can you explain the basic process of analyzing a satellite image?

Expected Answer: Should be able to describe basic steps like accessing imagery, basic enhancement techniques, and identifying basic features in images.