Pollution Modelling: LiDAR can detect particles in both air and water, which makes it particularly adept at identifying pollutants like carbon dioxide, sulphur dioxide and methane. Together with a building or terrain model, researchers can use this data to observe and reduce pollutant build-up in a given area.

Gas composition data: DIAL is used to measure particular gases in the atmosphere, such as ozone, carbon dioxide or water vapour. We can use LiDAR to study the gas composition of the atmosphere, necessary for weather forecasting, climate modeling and environmental monitoring.

Biodiversity: LiDAR remote sensing can be used to assess biodiversity by monitoring habitat structure; a key indicator of species diversity. Much like wildlife, the technology has evolved over the years to provide detailed information about the forest, looking at factors crucial to survival, such as vegetation structure.

Coastline Management: There are two different types of LiDAR: topographical and bathymetric. The former uses an infrared laser to map the land, while the latter uses water-penetrating green light. In tandem, they can be used to form coastal surveys, giving maximum overlap between land and sea and in doing so, minimising data gaps.

Wind Turbines: Scanning wind before it hits the wind turbine can help to maximise efficiency. LiDAR attached to the turbine itself is used to calculate the direction and strength of wind, and if necessary will change the direction of the blade to in order to generate more power.