Investigating Issues in Map Accuracy When Using an Object-Based Approach to Map Benthic Habitats

被引:9
|
作者
MacLean, Meghan Graham [1 ]
Congalton, Russell G. [1 ]
机构
[1] Univ New Hampshire, Dept Nat Resources & Environm, Durham, NH 03824 USA
关键词
REMOTELY-SENSED DATA; CLASSIFICATION; LIGHT; TEXAS;
D O I
10.2747/1548-1603.48.4.457
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
In a recent study, benthic habitat maps were created of the Texas Gulf Coast from digital aerial imagery. The images were classified using an object-based image analysis (OBIA) approach and a classification and regression tree (CART) technique. The map was manually edited, changing 26% of the polygons' labels. Accuracy assessments of the unedited map and the edited map revealed the two were not significantly different. The research in this paper evaluates why these maps may have similar accuracies. Our analyses indicate that the small segmentation scale parameter used over-segmented the imagery, reducing the effectiveness of the CART technique and editing.
引用
收藏
页码:457 / 477
页数:21
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