Microdensitometry to identify plant communities and components on color infrared aerial photos

Richard S. Driscoll; Jack N. Reppert; Robert C. Heller

doi:10.2307/3896444

Treesearch

Microdensitometry to identify plant communities and components on color infrared aerial photos

Formally Refereed

Authors:

Richard S. Driscoll, Jack N. Reppert, Robert C. Heller

Year:

1974

Type:

Scientific Journal

Station:

Rocky Mountain Research Station

DOI:

https://doi.org/10.2307/3896444

Source:

Journal of Range Management. 27(1): 66-70.

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Abstract

Image density differences in color infrared aerial photos can be used to discriminate individual shrub and tree species of a pinyon pine-juniper plant community. In addition, image density was used successfully to identify six general plant communities: ponderosa pine, spruce-fir, aspen, big sagebrush, native grasslands, and seeded grasslands. However, different sites and cultural treatments within native grasslands and ponderosa pine forest could not be so easily discriminated, even though visual differences were apparent in the photos.

Keywords

forest communities, photographs, forest soils, coniferous forests, woodland grasslands, grassland soils, optical density, mesas, soil density

Citation

Driscoll, Richard S.; Reppert, Jack N.; Heller, Robert C. 1974. Microdensitometry to identify plant communities and components on color infrared aerial photos. Journal of Range Management. 27(1): 66-70.