NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Remote sensing inputs to water demand modelingIn an attempt to determine the ability of remote sensing techniques to economically generate data required by water demand models, the Geography Remote Sensing Unit, in conjunction with the Kern County Water Agency of California, developed an analysis model. As a result it was determined that agricultural cropland inventories utilizing both high altitude photography and LANDSAT imagery can be conducted cost effectively. In addition, by using average irrigation application rates in conjunction with cropland data, estimates of agricultural water demand can be generated. However, more accurate estimates are possible if crop type, acreage, and crop specific application rates are employed. An analysis of the effect of saline-alkali soils on water demand in the study area is also examined. Finally, reference is made to the detection and delineation of water tables that are perched near the surface by semi-permeable clay layers. Soil salinity prediction, automated crop identification on a by-field basis, and a potential input to the determination of zones of equal benefit taxation are briefly touched upon.
Document ID
19760010520
Document Type
Conference Paper
Authors
Estes, J. E. (California Univ. Santa Barbara, CA, United States)
Jensen, J. R. (California Univ. Santa Barbara, CA, United States)
Tinney, L. R. (California Univ. Santa Barbara, CA, United States)
Rector, M. (Kern County Water Agency)
Date Acquired
August 8, 2013
Publication Date
June 1, 1975
Publication Information
Publication: NASA. Lyndon B. Johnson Space Center NASA Earth Resources Surv. Symp., Vol. 1-D
Subject Category
EARTH RESOURCES AND REMOTE SENSING
Report/Patent Number
W-22
Funding Number(s)
CONTRACT_GRANT: NGL-05-003-404
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Document Inquiry