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Canopy Light Reflectance and Remote Sensing of Shin Oak (Quercus havardii) and Associated Vegetation

Published online by Cambridge University Press:  12 June 2017

James H. Everitt ,
David E. Escobar ,
Ricardo Villarreal ,
Mario A. Alaniz  and
Michael R. Davis
James H. Everitt
Affiliation:
Remote Sensing Res. Unit, Agric. Res. Serv., U.S. Dep. Agric., 2413 E. Hwy. 83, Weslaco, TX 78596-8344
David E. Escobar
Affiliation:
Remote Sensing Res. Unit, Agric. Res. Serv., U.S. Dep. Agric., 2413 E. Hwy. 83, Weslaco, TX 78596-8344
Ricardo Villarreal
Affiliation:
Remote Sensing Res. Unit, Agric. Res. Serv., U.S. Dep. Agric., 2413 E. Hwy. 83, Weslaco, TX 78596-8344
Mario A. Alaniz
Affiliation:
Remote Sensing Res. Unit, Agric. Res. Serv., U.S. Dep. Agric., 2413 E. Hwy. 83, Weslaco, TX 78596-8344
Michael R. Davis
Affiliation:
Remote Sensing Res. Unit, Agric. Res. Serv., U.S. Dep. Agric., 2413 E. Hwy. 83, Weslaco, TX 78596-8344
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Abstract

Shin oak is a deciduous shrub that forms dense stands of brush on sandy soils in rangeland areas of the Rolling and High Plains of Texas. Plant canopy reflectance measurements made on shin oak showed that it had both low visible (0.63- to 0.69-μm waveband) and nearinfrared (0.76- to 0.90-μm waveband) reflectance values, a characteristic generally not shared by associated plant species or mixtures of species. The low reflectance values of shin oak caused it to have dark-red, reddish-brown, or brown image tones on color-infrared photographic, videographic, and SPOT satellite images that made it distinguishable from associated vegetation and other land use features. The optimum time to remotely distinguish this noxious shrub is during the mature phenological stage from June to September. Computer-based image analyses of video and satellite images showed that shin oak populations could be quantified. This technique can permit “percent land area” estimates of shin oak on rangelands. The aerial imagery is useful for detecting shin oak on smaller rangeland areas, whereas the satellite imagery is applicable in mapping large areas of shin oak distribution.

Keywords

Shin oak, Quercus havardii Rydb., # QUEHVhoney mesquite, Prosopis glandulosa Torr., #PRCJGsand sagebrush Artemisia filifolia Torr., #ARTFIReflectancecolor-infrared photographycolor-infrared video imagerySPOT satellite imageryrangelandsQUEHVPRCJGARTFI
Type
Soil, Air, and Water
Information
Weed Science , Volume 41 , Issue 2 , June 1993 , pp. 291 - 297
Copyright
Copyright © 1993 by the Weed Science Society of America 

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