Nontidal wetland mapping in South Carolina using airborne multispectral scanner data
Nontidal wetland mapping in South Carolina using airborne multispectral scanner data
复制标题
使用机载多光谱扫描仪数据绘制南卡罗来纳州非潮汐湿地地图
DOI:
10.1016/0034-4257(84)90023-3
复制
发表时间:
1984
影响因子:
13.5
通讯作者:
R. Sharitz
中科院分区:
文献类型:
--
作者:
J. R. Jensen;E. Christensen;R. Sharitz
High resolution multispectral scanner (MSS) imagery of Savannah River nontidal wetlands were analyzed to identify 1) useful spectral bands for discriminating among National Wetland Inventory classes, 2) where the classes cluster inn-dimensional feature space, and 3) what wetland classification accuracies can be expected. Spectral measurements in the green (0.55–0.60 μm), red (0.65–0.70 μm), and near-infrared wavelengths (0.70–0.79 μm and 0.92–1.10 μm) provided the most useful information. Emergent marsh (both persistent and nonpersistent), scrub-shrub, mixed deciduous swamp forest, and mixed deciduous upland forest were found to cluster in somewhat predictable regions of 2- and 3-dimensional feature space. The overall classification accuracy of the Steel Creek delta study area was 83% and was assessed by comparing the remote sensing derived thematic map with 1325 linear meters of transects sampledin situ. These results suggest that high resolution aircraft MSS data can provide detailed vegetation type information for mapping both thermally affected and rejuvenating nontidal wetland in the South Carolina Savannah River Swamp System.