Aircraft MSS data registration and vegetation classification of wetland change detection

Christensen, E.J.; Jensen, J.R.; Ramsey, E.W., III; Mackey, H.E., Jr.

Abstract:

Portions of the Savannah River floodplain swamp were evaluated for vegetation change using high resolution (5a??6 m) 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 (200-250 ha), a first-order linear transformation provided registration accuracies of less than or equal to one pixel. A larger area was registered using a piecewise linear method. Five major wetland classes were identified 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 per cent to 87 per cent for each scene. Results suggest that high-resolution aircraft MSS data can be precisely registered, if small areas are used, and that wetland vegetation change can be accurately detected and monitored.

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Article

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1002688

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Christensen, E.J.; Jensen, J.R.; Ramsey, E.W., III; Mackey, H.E., Jr.

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National Wetlands Research Center

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English

Citation Larger Work Title:

International Journal of Remote Sensing

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JAN

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p. 23-38

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Aircraft MSS data registration and vegetation classification of wetland change detection; 1988; Article; Journal; International Journal of Remote Sensing; Christensen, E.J.; Jensen, J.R.; Ramsey, E.W., III; Mackey, H.E., Jr.