| タイトル | Remote sensing inputs to water demand modeling |
| 著者（英） | Estes, J. E.; Tinney, L. R.; Rector, M.; Jensen, J. R. |
| 著者所属（英） | California Univ. |
| 発行日 | 1975-06-01 |
| 言語 | eng |
| 内容記述 | In 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. |
| NASA分類 | EARTH RESOURCES AND REMOTE SENSING |
| レポートNO | 76N17608
W-22 |
| 権利 | No Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/527459 |
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