Forestry and Natural Resources

Managers of forests, rivers, watersheds, wildlife habitats, and other public lands have come to rely on aerial remote sensing to efficiently image and analyze assets on lands within their stewardship. When canopy volumes need to be studied, LiDAR provides a reliable means of penetrating vegetation to establish an accurate baseline ground surface as well as modeling the top of the canopy.  Using this technology, we can also estimate standing tree types and number and height of trees.

What is The Advantage of CIR?

Chlorophyll in plants reflects green wavelengths, making them appear green to the human eye. What we can’t see, however, is the near infrared wavelengths of plants’ internal cell structure. Color infrared imaging (CIR) captures the infrared wavelengths emanating from vegetation, providing a more reliable means of monitoring and analysis.

CIR is used for crop inventory and analysis, crop stresses, monitoring fertilizer applications, and yield estimates. CIR is also used to analyze soil properties such as permeability, salinity, and erosion. The Normalized Difference Vegetation Index (NDVI) can be derived from digital CIR data and is a key indicator in plant analysis.

CIR tends to penetrate atmospheric haze better than natural color, provides sharper imagery, and is especially valuable in hot and humid climates.

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