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Wetland vegetation change detection using high resolution aircraft MSS (multispectral scanner) data

Conference ·
OSTI ID:6928589
Portions of the Savannah River floodplain were evaluated for wetland vegetation change using high-resolution (5.6 x 5.6 meter pixel) aircraft multispectral scanner (MSS) data. Image distortion from aircraft movement prevented precise image-to-image registration in some areas. However, when small scenes were used (190 to 240 hectares), a first-order linear transformation provided registration accuracies less than or equal to one pixel. A larger area was successfully registered using a piecewise linear method. Five wetland classes and one transitional community were indentified and evaluated for change. Phenological differences and the variable distribution of vegetation limited wetland type discrimination. Using unsupervised methods and ground-collected vegetation data, overall classification accuracies ranged from 84 to 87 percent for each scene. A post-classification change analysis identified wetlands transformations in some areas. Cypress-tupelo swamp forest was commonly replaced by more thermally and flood-tolerant marsh species. In areas where cooling water releases were discontinued, invasion by scrub/shrub communities occurred. Results show that multi-date, high-resolution aircraft MSS data can be registered if small areas are used, and that wetland vegetation change can be accurately detected and monitored. 33 refs., 6 figs., 5 tabs.
Research Organization:
Savannah River Lab., Aiken, SC (USA)
DOE Contract Number:
AC09-76SR00001
OSTI ID:
6928589
Report Number(s):
DP-MS-86-32; CONF-8609381-1; ON: DE88014302
Country of Publication:
United States
Language:
English