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Abstract
Landsat data and 1:24 000-scale aerial photographs were initially used to map the expansion of irrigation from 1973 to 1979 and to identify crops under irrigation in 1979. The crop data were then used with historical water requirement figures and digital topographic and hydrographic data to estimate water and power use for the 1979 irrigation season. The final project task involved production of a composite map of land suitability for irrigation development based on land cover (from Landsat), landownership, soil irrigability, slope gradient, and potential energy costs.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | The role of remotely sensed and other special data for predictive modeling: the Umatilla, Oregon example |
| Series title | Photogrammetric Engineering and Remote Sensing |
| Volume | 49 |
| Issue | 8 |
| Year Published | 1983 |
| Language | English |
| Publisher | American Society for Photogrammetry and Remote Sensing |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 10 p. |
| First page | 1183 |
| Last page | 1192 |
| Country | United States |
| State | Oregon |
| City | Umatilla |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |