The role of remotely sensed and other special data for predictive modeling: the Umatilla, Oregon example
January 1, 1983
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.
Citation Information
Publication Year | 1983 |
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Title | The role of remotely sensed and other special data for predictive modeling: the Umatilla, Oregon example |
Authors | Thomas R. Loveland, Gary E. Johnson |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Photogrammetric Engineering and Remote Sensing |
Index ID | 70142182 |
Record Source | USGS Publications Warehouse |
USGS Organization | Earth Resources Observation and Science (EROS) Center |