MEMO -TASK 89.1
<br />agricultural fields. In most cases, applying a buffer of one or more pixels inside of the field
<br />boundary can solve this problem.
<br />7. References
<br />Agro Engineering. 2000. 1998 Irrigated Lands Assessment Using Satellite Imagery in the Rio Grande
<br />Basin of Colorado. 31 p.
<br />Bartling, S. 2002. Personal communication. Northern Colorado Water Conservation District.
<br />Cipra, J.E. 2003. A method for improving classification accuracy and acreage assessment in irrigated
<br />crops. Photogrammetric Engineering and Remote Sensing 69(1): 6-9.
<br />Cipra, J.E., R. Waskom, T. Bauder, M. Grossenauer, J. Norman, and S. Geer. 2002. Mapping of Center
<br />Pivot Irrigation in Colorado. Colorado Water. Newsletter of the Water Center at Colorado State
<br />University. August 2002. Pp. 16-17.
<br />Congalton, R.G. and K Green. 1999. Assessing the Accuracy of Remotely Sensed Data: Principles and
<br />Practices. Lewis Publishers. Boca Raton, FL. 137 p.
<br />Congalton, R.G., M. Balogh, C. Bell, K Green, J. Milliken, and R. Ottman. 1998. Mapping and
<br />Monitoring Agricultural Crops and Other Land Cover in the Lower Colorado River Basin.
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<br />Grist, E.P. and R.C. Cicone. 1984. "Application of the Tasseled Cap Concept to Simulated Thematic
<br />Mapper Data. Proceedings, American Society of Photogrammetry, 2:508-517.
<br />Hoffer, R.M. 1994. "Challenges in Developing and Applying Remote Sensing to Ecosystem
<br />Management". In: Remote Sensing and GIS in Ecosystem Management. Edited by V. Alaric Sample,
<br />Island Press, Washington, D.C., 1994, pp 25-40.
<br />Jackson, R.D. and A. R. Huete. 199E Interpreting vegetation indices. Preventive Veterinary Medicine.
<br />11: 185- 200.
<br />Jensen, J.R. 1996. Introductory Digital Image Processing: A Remote Sensing Perspective. Second
<br />Edition. Prentice Hall Series in Geographic Information Science. Upper Saddle River, New Jersey.
<br />318 p.
<br />Kauth, R.J. and G.S. Thomas. 1976. "The Tasseled Cap - A Graphic Description of the Spectral-
<br />Temporal Development of Agricultural Crops as Seen by Landsat". Proceedings, Symposium on
<br />Machine Processing of Remotely Sensed Data. West Lafayette, IN: Laboratory for Applications of
<br />Remote Sensing, pp. 41-51.
<br />Lillesand, T.M and R.W. Kiefer. 2000. Remote Sensing and Image Interpretation. Fourth Edition. John
<br />Wiley and Sons, Inc. New York. 724 p.
<br />Martinez Beltran, C. and A. Calera Belmonte. 200E Irrigated Crop Area Estimation Using Landsat TM
<br />Imagery in La Mancha, Spain. Photogrammetric Engineering and Remote Sensing 67(10): 1177-
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<br />Maxwell, S.K. and R.M. Hoffer. 1996a. Mapping agricultural crops with multi-date Landsat data.
<br />Proceedings of ASPRS/AGSM Annual Convention, 1996 Baltimore Maryland. Pp 433-443.
<br />Maxwell, S.K. and R.M. Hoffer. 1996b. Spectral variability of agricultural crops. Proceedings of
<br />ASPRS/AGSM Annual Convention, 1996 Baltimore Maryland. Pp 455-464.
<br />Maxwell, S.K., J.R. Nuckols, H.M. Ward, and R.M. Hoffer. 1999. Automated crop type mapping from
<br />Landsat imagery. Pecora 14 Conference, December 6-10, 1999, Denver, Colorado. 11 p.
<br />Qi, S.L., A. Konduris, D. W. Litke, and J. Dupree. 2002. Classification of Irrigated Land Using Satellite
<br />Imagery, the High Plains Aquifer, Nominal Date 1992. National Water-Quality Assessment Program.
<br />U.S. Geological Survey. Water-Resources Investigations Report 02-4236.31 p.
<br />Spatial Sciences and Imaging. 2002. Western Slope Irrigated Refresh Project for the Colorado Decision
<br />Support System. Project Report (Draft). 41 p.
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