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Hierarchical object-based classification of ultra-high-resolution digital mapping camera (DMC) imagery for rangeland mapping and assessment
- Laliberte, A.S., Browning, D.M., Herrick, J.E., Gronemeyer, P.
- Journal of spatial science 2010 v.55 no.1 pp. 101
- arid lands, cameras, cartography, digital images, grazing lands, ground vegetation, image analysis, land cover, rangelands, vegetation cover, Southwestern United States
- Ultra-high-resolution digital aerial imagery has great potential to complement or replace ground measurements of vegetation cover for rangeland monitoring and assessment. This research investigated object-based image analysis (OBIA) techniques for classifying vegetation in southwestern USA arid rangelands with 4 cm resolution digital aerial imagery. We obtained high r-square values for the regressions relating ground- to image-based measures of percent cover (r-square values: 0.82–0.92). OBIA enabled us to automate the classification process and demonstrated potential for quantifying fine-scale land cover attributes with ultra-high-resolution imagery. This approach exhibits promise for nationwide application for monitoring grazing lands.