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Abstract
Global land-cover data are needed as baseline information for global change research. Multisource data, both coarse resolution satellite data and ancillary data, were used to produce a land-cover characteristics database for the conterqinous United States. Ancillary data, including elevation and ecological region data sets, were critical to the development, refinement, and information content of each class in the database. They contributed essential evidence for labeling and refining land-cover classes where differing types were represented by single spectral-temporal signatures. The characterization process can be expanded to a global effort depending on (1) the availability of global satellite coverage, (2) the quality and availability of ancillary data, and (3) the evolution of more sophisticated data visualization and analysis techniques.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Using multisource data in global land-cover characterization: concepts, requirements, and methods |
| Series title | Photogrammetric Engineering and Remote Sensing |
| Volume | 59 |
| Issue | 6 |
| Year Published | 1993 |
| Language | English |
| Publisher | American Society for Photogrammetry and Remote Sensing |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 11 p. |
| First page | 977 |
| Last page | 987 |
| Google Analytic Metrics | Metrics page |