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The role of remotely sensed and other special data for predictive modeling: the Umatilla, Oregon example

Photogrammetric Engineering and Remote Sensing
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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.

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Additional publication details

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