| Title | Hierarchical object-based classification of ultra-high-resolution digital mapping camera (DMC) imagery for rangeland monitoring and assessment |
| Publication Type | Journal Article |
| Year of Publication | 2010 |
| Authors | Laliberte AS , Browning DM , Herrick JE , Gronemeyer P |
| Journal | Journal of Spatial Science |
| Volume | 55 |
| Issue | 1 |
| Start Page | 101 |
| Pagination | 101-115 |
| Date Published | June 2010 |
| Accession Number | JRN00538 |
| ARIS Log Number | 244434 |
| Keywords | aerial photography , object-based image analysis , rangelands , vegetation classifications , very high resolution |
| 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. |
| URL | /files/bibliography/10-023.pdf |
| DOI | 10.1080/14498596.2010.487853 |
