@article {50044,
	title = {Hierarchical object-based classification of ultra-high-resolution digital mapping camera (DMC) imagery for rangeland monitoring and assessment},
	journal = {Journal of Spatial Science},
	volume = {55},
	year = {2010},
	month = {June 2010},
	pages = {101-115},
	chapter = {101},
	abstract = {Ultra high resolution digital aerial photography has great potential to complement or replace ground measurements of vegetation cover for rangeland monitoring and assessment. We investigated object-based image analysis (OBIA) techniques for classifying vegetation in southwestern U.S. arid rangelands with 4 cm resolution digital aerial photography. We obtained high r-square values for image- and ground-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.},
	keywords = {aerial photography, object-based image analysis, rangelands, vegetation classifications, very high resolution},
	doi = {10.1080/14498596.2010.487853},
	url = {/files/bibliography/10-023.pdf},
	author = {Andrea S. Laliberte and Dawn M. Browning and Jeffrey E. Herrick and Peg Gronemeyer}
}
