Which of the following is an NRCan example of applying remote sensing?

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Remote sensing involves gathering information about the Earth's surface from a distance with sensors on satellites, aircraft, or drones. NRCan uses this approach to monitor forest health by analyzing imagery and other sensor data to detect stress, defoliation, or pest/disease outbreaks across large areas. Multispectral and infrared data can reveal canopy changes and moisture variations that signal health issues long before ground visits, enabling timely management actions. Ground surveys require on-site measurements, so they aren’t remote sensing. Measuring ocean salinity is a marine application and not the terrestrial forest-monitoring focus often highlighted by NRCan. Mapping urban growth via planimetric data relies mainly on detailed ground-based maps or surveys rather than sensor-based imagery. Therefore, monitoring forest health best fits NRCan’s remote sensing example.