Allen, J.D., 1990. Remote Sensor Comparison for Crop Area Estimation Using Multitemporal Data, US Department of Agriculture, NASS Staff Report No. SRB-90-03.

Allen, J.D. and G.A. Hanuschak, 1988. The Remote Sensing Applications Program of the National Agricultural Statistics Service: 1980-1987, US Department of Agriculture, NASS Staff Report No. SRB-88-08.

Arkansas Agricultural Statistics Service, 1993. 1992 Arkansas Agricultural Statistics, Little Rock, Arkansas: Arkansas Agricultural Statistics Service.

Ball, D.M., Hoveland, C.S., and G.D. Lacefield, 1996. Southern Forages, 2nd edition. Norcross, Georgia: Potash & Phosphate Institute and the Foundation for Agronomic Research.

Bauer, M. E., Cipra, J. E., Anuta, P.E., and J.B. Etheridge, 1979. Identification and area estimation of agricultural crops by computer classification of landsat MSS data, Remote Sensing of the Environment (8):77-92.

Bellow, M.E. and M.L. Graham, 1992. Improved crop area estimation in the Mississippi Delta Region using Landsat TM data, in Proceedings of the ASPRS/ACSM Annual Convention 1992, Washington, D.C.

Congalton, R.G. 1996. Accuracy Assessment: A Critical Component of Land Cover Mapping. Pages 119-131 In J.M. Scott, T.H. Tear, and F. Davis, eds. Gap Analysis: A landscape approach to biodiversity planning. American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland.

Cook, P.W. and R. Mueller, 1996. Southeastern north dakota landsat TM crop mapping, in Proceedings of the ASPRS/ACSM Annual Convention, Baltimore, Maryland, 1996, pages 600-601.

Craig, M.E., 1993. The NASS delta project: 1991-92 rice and cotton acreage, Presented at the American Congress on Surveying and Mapping/American Society for Photogrammetry and Remote Sensing Annual Convention & Exposition (New Orleans, Louisiana).

Dombek, D.G. and S.B. Cain, 1993a. 1992 Arkansas Corn and Grain Sorghum Performance Tests, Department of Agronomy, Agricultural Experiment Station, University of Arkansas, Fayetteville, Arkansas.

Dzur, R.S., M.E. Garner, K.G. Smith, and W.F. Limp. 1996. Gap Analysis partnerships for mapping the vegetation of Arkansas. Pages 179-186 In J.M. Scott, T.H. Tear, and F. Davis, eds. Gap Analysis: A landscape approach to biodiversity planning, American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland.

Ehrlich, D., J. Estes, and J. Scepan, 1990. Improving crop type determination using satellite imagery: a study for the regione del veneto, italy, Geocarto International 5(2):35-47.

Fugitt, T.D, L.A. Hanson, M. Rotenberry, P. Lee, D. Griffith, J. Johnston, C. Bryant, and S. Cable. 1998. Arkansas Ground-Water Protection and Management Report for 1997. Akansas Soil and Water Conservation Commission. Little Rock, Arkansas.

Gausman, H.W., Allen, W.A., Escobar, D.E., Rodriguez, R.R., and R. Cardenas, 1971. Age Effect of Cotton Leaves on Light Reflectance, Transmittance and Absorptance and on Water Content and Thickness, Agronomy Journal, 63:465-468.

Gupta R.K., Woolley J.T. (1971), Spectral properties of soybean leaves, Agronomy Journal, 63:123-126.

Guyot, G., 1990. Optical Properties of Vegetation Canopies, Applications of Remote Sensing in Agriculture, University Press, Cambridge, pp. 19-43.

Hinzman, L.D., Bauer, M.E., Daughtry, C.S.T., (1984), Growth and reflectance characteristics of winter wheat canopies, LARS Technical Report 111484, Purdue University, West Lafayette, Indiana, 18 p.

Ishiguro, E., Kumar, M.K., Hidaka, Y., Yoshida, S., Sato, M., Miyazato, M., Chen, J.Y. 1993, Use of rice response characteristics in area estimation by landsat TM and MOS-1 satellites data, ISPRS Journal of Photogrammetry and Remote Sensing, 48(1):26-32.

Lillesand, Thomas M. 1996. A Protocol for a Satellite-based Land Cover Classification in the Upper Midwest. Pages 103-118 In J.M. Scott, T.H. Tear, and F. Davis, eds. Gap Analysis: A landscape approach to biodiversity planning, American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland.

Lo, T.H.C., Scarpace, F.L., and T.M. Lillesand, 1986. Use of multitemporal spectral profiles in agricultural land-cover classification, Photogrammetric Engineering and Remote Sensing, 52(4):535-544.

Lower Missississippi Valley Geographic Information System Steering Committee. 1996, FGDC metadata for LANDCOV, The Delta: Lower Mississippi Valley (CD-ROM) National Biolgical Servic/National Wetlands Research Center, Vicksburg, Mississippi.

Maxwell, S.K. and R.M. Hoffer, 1996a. Mapping agricultural crops with multi-date landsat data, Proceedings of ASPRS/ACSM Annual Convention, 1996 Baltimore, Maryland, pp. 433-443.

Maxwell, S.K. and R.M. Hoffer, 1996b. Spectral variability of agricultural crops, Proceedings of ASPRS/ACSM Annual Convention, 1996 Baltimore, Maryland, pp. 455-464.

Raymond, L.H., McFarlane, S.I., 1991, Use of landsat thematic mapper data to identify crop types and estimate irrigated acreage, Uvalde and Medina Counties, Texas, 1991, USGS Water-Resources Investigations Report 93-4233.

Sinclair, T.R., R.M. Hoffer, and M.M. Schreiber, 1971. Reflectance and internal structure of leaves from several crops during a growing season, Agronomy Journal 63:864-868.

Thomas, J.R., V.I. Meyers, M.D. Heilman, and C.L. Weigand, 1966. Factors affecting light reflectance of cotton, in Proceedings of the Fourth Symposium on Remote Sensing of Environment, Environmental Research Institute of Michigan, Ann Arbor, Michigan, pages 305-312.

U.S. Department of Commerce, 1994. 1992 Census of Agriculture, Vol. 1, Part 4. Washington, D.C.: U.S. Government Printing Office.