| Multispectral reflectance data were collected in mid-rotation loblolly pine plantations during spring, summer and fall seasons with hand-held and aerial sensors. All data were analyzed by discriminant analysis.; The hand-held data correctly classified species with accuracies of 83% during the spring season, 54% during summer, and 82% during fall. Loblolly pine was correctly identified 100% of the time using the spring data.; Airborne multispectral sensor data correctly classified species 88% of the time in spring, 66% in summer, and 70% in fall. Loblolly pine was correctly classified 94% with spring data, 75% with summer data, and 64% with fall data.; Multispectral remote sensing appears valuable to determine the level of hardwood competition within mid-rotation pine plantations and for separating pine from non-pine competitors. |
