Laserfiche WebLink
<br />. <br /> <br />. <br /> <br />delineating irrigation ditches <br />in irrigation practice (i.e. <br />ditch. <br /> <br />within fields unless there was a significant difference <br />irrigated versus non-irrigated) on either side of a <br /> <br />a <br /> <br />Final irrigated acreages and the consumptive use calculated for those acreages <br />were compared to traditionally derived values. Appendix A shows the irrigated <br />acreages and consumptive use for each hydrologic unit by county. Irrigated acreages <br />calculated in this project were 9% less and consumptive use was 6.7% less than figures <br />derived by traditional methods. Appendix A also discusses the methods used by the <br />Salt Lake City regional office to calculate consumptive use. <br /> <br />t- <br />:> <br /><:r.l <br />"'-l <br /> <br />DISCUSSION <br /> <br />The irrigated-lands database created for the Upper Gunnison basin was designed to <br />take advantage of the best features of three types of image data sources: orthophoto <br />quadrangles, CIR,aerial photography, and multispectral satellite imagery. Orthophotos <br />offer high sp.tial resolution and planimetric accuracy that meets national <br />map-accuracy standards but have only limited spectral information. The spectral <br />characteristics of CIR aerial photography are ideal for mapping irrigated lands, but <br />they are sUbject to tilt and relief displacement in their geometry. Neither the <br />orthophotos or the CIR photography are ordinarily available for the times in the <br />growing season of interest. Satellite imagery, such as SPOT or Landsat TM (thematic <br />mapper) and MSS,: offers the spectral characteristics and timeliness to establish <br />irrigation statu$ information at the time and place for which it is required. Through <br />appropriate use of techniques of image processing and GIS, the best characteristics of <br />all three inform~tion sources have been brought together in a single data base. The <br />nature of the da~abase is such that it can be easily updated in future years by <br />acquiring and processing new satellite imagery to create new irrigation status and <br />intensity attributes for each field. If any new fields are brought under irrigation, <br />they can be easi~y added to the database without having to redigitize any of the <br />existing data. Because the database is digital and geographically referenced, it will <br />also be easy to add other data layers that may be deemed important in future years. <br /> <br />The Upper Gunnison basin database was created on a system capable of exporting <br />files in U.S. G.ological Survey DLG (Digital Line Graph) tape format, which will <br />facilitate sharing the database with other organizations. Many Colorado River basin <br />states have remote sensing and GIS capabilities similar to those of Bureau of <br />Reclamation and U.S. Geological Survey and USGS. Mapping irrigated lands in the <br />Upper Gunnison basin as described here may point the way to a standardized approach <br />for compiling irrfgated acreages throughout the Colorado River System. <br /> <br />LITERATURE CITED <br /> <br />ESL, INC., 1987a., Instruction Manual ESL-IM237, Ver. 4.2. Sunnyvale, California, <br />350 pp. <br />ESL, INC., 1987b, GES (Geographic Entry System) Manual, TM1739, Ver. 8.74. <br />Sunnyvale, California, 275 pp. <br />Kauth, R., P. Lambeck, W. Richardson, G. Thomas, 1979. Feature Extraction Applied to <br />Agricultural Crops as Seen by Landsat. In: Proceedings of the LACIE Symposium, <br />NASA LBJ Space Center, Houston, Texas, pp. 705-721. <br />Verdin, J., 1985.' Inventoryof Irrigated Lands and Reservoir Surface Areas in the <br />Upper Green River Basin. Technical Memorandum 85-4-8. Bureau of Reclamation, <br />Applied ScienCes Branch, Denver, Colorado, 22 pp. <br />Verdin, J., C. Hay, and M. O'Grady, 1985. A Sampling Approach to Irrigated Acreage <br />Determination in the Green River Basin of Wyoming. Proceedings of the 1985 <br />