| タイトル | Application of satellite data and LARS's data processing techniques to mapping vegetation of the Dismal Swamp |
| 本文（外部サイト） | http://hdl.handle.net/2060/19760016581 |
| 著者（英） | Messmore, J. A. |
| 著者所属（英） | Old Dominion Univ. |
| 発行日 | 1976-05-01 |
| 言語 | eng |
| 内容記述 | The feasibility of using digital satellite imagery and automatic data processing techniques as a means of mapping swamp forest vegetation was considered, using multispectral scanner data acquired by the LANDSAT-1 satellite. The site for this investigation was the Dismal Swamp, a 210,000 acre swamp forest located south of Suffolk, Va. on the Virginia-North Carolina border. Two basic classification strategies were employed. The initial classification utilized unsupervised techniques which produced a map of the swamp indicating the distribution of thirteen forest spectral classes. These classes were later combined into three informational categories: Atlantic white cedar (Chamaecyparis thyoides), Loblolly pine (Pinus taeda), and deciduous forest. The subsequent classification employed supervised techniques which mapped Atlantic white cedar, Loblolly pine, deciduous forest, water and agriculture within the study site. A classification accuracy of 82.5% was produced by unsupervised techniques compared with 89% accuracy using supervised techniques. |
| NASA分類 | EARTH RESOURCES AND REMOTE SENSING |
| レポートNO | 76N23669
PGSTR-AP76-31
NASA-CR-147951 |
| 権利 | No Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/185882 |
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