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Eckhardt, D. W., Verdin, J. P., & Lyford, G. R. (1990). Automated update of an irrigated lands
GIS using SPOT HRV imagery. Photogrammetric Engineering & Remote Sensing, 56(11),
1515-1522.
Erb, R. B. (1980). The large area crop inventory experiment (LACIE); methodology for area,
yield and production estimation; results and perspectives. In G. Fraysse (Ed.), Remote sensing
application in agriculture and hydrology (p. 502). Rotterdam: Balkema.
FAO. (2009). Irrigation in the Middle East region in figures (AQUASTAT survey—2008). In K.
Frenken (Ed.), FAO water reports (p. 423). Rome: Italy.
Jensen, J. R. (2007). Remote sensing of the environment: An earth resource perspective (2nd ed.).
New Jersey: Pearson Prentice Hall.
Kangarani, H. M. (2006). Euphrates and Tigris watershed: Economic, social and institutional
aspects of forest in an integrated watershed management (working paper 81). Rome: FAO.
Lillesand, M. T., Kiefer, R. W.,
& Chipman,
J. W. (2008). Remote sensing and image
interpretation (6th ed.). Hoboken: Wiley.
Lu, D., Mausel, P., Batistella, M., & Moran, E. (2004). Comparison of land-cover classification
methods in the Brazilian amazon basin. Photogrammetric Engineering and Remote Sensing,
70(6), 723-731.
Ozdogan, M. (2010). The spatial distribution of crop types from MODIS data: Temporal
unmixing using independent component analysis. Remote Sensing of Environment, 114(6),
1190-1204.
Pax-Lenney, M., Woodcock, C. E., Collins, J. B., & Hamdi, H. (1996). The status of agricultural
lands in Egypt: The use of multitemporal NDVI features derived from Landsat TM. Remote
Sensing of Environment, 56(1), 8-20.
Rogan, J., Franklin, J., & Roberts, D. A. (2002). A comparison of methods for monitoring
multitemporal
vegetation
change
using
Thematic
Mapper
imagery.
Remote
Sensing
of
Environment, 80, 143-156.
Rundquist, D. C., Hoffman, R. O., Carlson, M. P., & Cook, A. E. (1989). The Nebraska center-
pivot inventory: An example of operational satellite remote sensing on a long-term basis.
Photogrammetric Engineering and Remote Sensing, 55(1), 587-590.
Senay, G. B., Lyon, J. G., Ward, A. D., & Nokes, S. E. (2000). Using high spatial resolution
multispectral data to classify corn and soybean crops. Photogrammetric Engineering &
Remote Sensing, 66(3), 319-327.
Singh, A. (1989). Review article: Digital change detection techniques using remotely-sensed
data. International Journal of Remote Sensing, 10(6), 989-1003.
Steffen, W., & Tyson, P. (Eds.). (2001). Global change and the earth system: A planet under
pressure. The Global Environmental Change Programme (Vol. 4, p. 32). IGBP Science.
Elsevier, Stockholm, Sweden.
Wardlow, B. D., & Stephen, L. E. (2008). Large-area crop mapping using time-series MODIS
250 m NDVI data: An assessment for the U.S. Central Great Plains. Remote Sensing of
Environment, 112(3), 1096-1116.
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