SELECTED REFERENCES ON THE NORMALIZED DIFFERENCE VEGETATION INDEX FROM AVHRR Asrar, G., Fuchs, M., Kanemasu, E. T., and Hatfield, J. L., 1984. Estimating absorbed photosynthetic radiation and leaf area index from spectral reflec- tions in wheat. Agron. J., V. 76, pp. 300-306. Bartlett, D. S., Hardisky, M. A., Johnson, R. W., Gross, M. F., Klemes, V., and Hartman J. M., 1988. Continental scale variability in vegetation reflectance and its relationship to canopy morphology. International Journal of Remote Sensing, 9(7), 1223-1241. Choudhury, B. J., and Golus, R. E., 1988. Estimating soil wetness using satellite data. International Journal of Remote Sensing, 9(7), 1251-1257. Cihlar, J., St.-Laurent, L., and Dyer, J. A., 1991. Relation between the normalized difference vegetation index and ecological variables. Remote Sensing of Environment, v. 35, pp. 279-298. Clark, David M., Hastings, David A., and Kineman, John J., 1991. Global databases and their implications for GIS. IN Maguire, David J., Goodchild, Michael F., and Rhind, David W., eds., Geographical Information Systems: Overview, Principles and Applications. Burnt Mill, Essex, United Kingdom, Longman. V.2, pp. 217-231. Di, L., 1991. Regional-scale soil moisture monitoring using NOAA/AVHRR data, Ph.D. Dissertation, Department of Geography, University of Nebraska- Lincoln. Di, L., Rundquist, D., and Han, L., 1991. A mathematic model for predicting NDVI using daily precipitation. Manuscript to be published. Gallo, K. P., 1990. Satellite-derived vegetation indices: a new climatic variable? Proceedings, Symposium on global change systems, February 5-9, 1990, Anaheim, California. American Meteorological Society, Boston, Massa- chusetts. Gallo, K. P., and Heddinghaus, T. R., 1989. The use of satellite-derived vegetation indices as indicators of climatic variability. Proceedings, Sixth Conference on Applied Climatology, March 7-10, 1989, Charleston, SD. American Meteorological Society, Boston, Massachusetts. Gallo, K. P., and Brown, J. F., 1990. Satellite-derived indices for monitor- ing global phytoclimatology. Proceedings, 10th International Geoscience and Remote Sensing Symposium, May, 1990, Washington, DC. Gallo, K. P., Doughtry, C. S. T., and Bauer, M. E., 1985. Spectral estima- tion of absorbed photosynthetically active radiation in corn canopies. Remote Sensing of Environment, V. 17, pp. 221-232. Gatlin, J. A., Sullivan R. J., Tucker, C. J., 1984. Consideration of and improvements to large-scale vegetation monitoring. IEEE Trans. on Geoscience and Remote Sensing, GE-22(6), 496-502. Goward, S. N. 1990. Experiences and perspective in compiling long-term remote sensing data sets on landscapes and biospheric processes. GeoJournal, v. 20, pp. 107-114. Goward, S. N., Dye, D., Kerber, A., and Kalb, V., 1987. Comparison of North and South American biomass from AVHRR observations. Geocarto International, v. 1, pp. 27-39. Goward, S. N., Markham, B., Dye, D. G., Dulaney, W., and Yang, J., 1991. Derivation of quantitative normalized difference vegetation index measure- ments from Advanced Very High Resolution Radiometer observations. Remote Sensing of Environment, v. 35, pp. 257-277. Gray, T. I., and McCrary, D. G., 1981. The environmental vegetation index, a tool potentially useful for arid land management. AgRISTAR Report No. EW- N-1-04076, Johnson Space Center, Houston, Texas 17132. Gutman, G. Garik, 1991. Vegetation indices from AVHRR: An update and future prospects. Remote Sensing of Environment, v. 35, pp. 121-136. Gutman, G. Garik, and Liu, William T., 1991. Bio-climates of South America as derived from multispectral AVHRR data. 24th International Symposium on Remote Sensing of Environment, Rio de Janeiro, May 1991. Ann Arbor, Michi- gan, Environmental Research Institute of Michigan. Summary pp. 19-20; Pro- ceedings in press. Hastings, David A., and Di, Liping, 1992. Modeling Global Change Phenomena with GIs using the Global Change Data Base. Remote Sensing of Environment. (in press) Hastings, David A. Kineman, John J., Davis, W. M., and Clark, David M., 1989. Two unsung problems with GIS: Getting a system that does what you need, and working with non-ideal data. Proceedings of the 2nd National Conference on Geographic Information Systems, U. S. Professional Development Corporation and Government Computer News. Hastings, David A., Kineman, John J., and Clark, David D., 1991. Development and application of global data bases: considerable progress, but more collaboration needed. International Journal of Geographical Information Systems, v. 5., pp. 137-146. Kidwell, Katherine B., 1990. Global Vegetation Index Users Guide. National Oceanic and Atmospheric Administration, National Climatic Data Center, Satellite Data Services Division, Washington DC 20233. 45 pp. Kineman, J. J., Clark, D. M., and Croze, H., 1990. Data integration and modelling for global change: An international experiment. Proceedings of the International Conference and Workshop on Global Natural Resource Monitor- ing and Assessments: Preparing for the 21st Century (Venice, Italy, 24-30 September 1989). Bethesda, Maryland, American Society of Photogrammetry and Remote Sensing, Vol. 2, pp. 660-669 Kogan, F., 1991. Remote sensing of weather impacts on vegetation in non- homogeneous areas. International Journal of Remote Sensing, in press. Koomanoff, V. A., 1989. Analysis of global vegetation patterns: a compari- son between remotely sensed data and a conventional map. Biogeography Re- search Series, Report #890201, Department of Geography, University of Mary- land, College Park, 111 pp. Ohring, G., Gallo, K., Gruber, A., Planet, W., Stowe, L., and Tarpley, J. D., 1989. Climate and global change: Characteristics of NOAA satellite data. EOS Transactions of the American Geophysical Union, v. 70, pp. 889,891,894,901. Peters, A. J., 1989. Coarse Spatial Resolution Satellite Remote Sensing of Drought Conditions in Nebraska: 1985-1988. PhD Dissertation, Department of Geography, University of Nebraska, Lincoln. Rosenthal, W. D., Blanchard, B. J., and Blanchard, A. J., 1985. Visible/ infrared/microwave agriculture classification, biomass, and plant height algorithms. IEEE Trans. on Geoscience and Remote Sensing, GE-23(2), 84-90. Rouse, J. W., Hass, R. H., Schell, J. A., Deering, D. W., and Harlan, J. C., 1974. Monitoring the Vernal Advancement and Retrogradation (Greenwave Ef- fect) of Natural Vegetation. National Aeronautics and Space Administration Goddard Space Flight Center Final Report. Greenbelt, Maryland. Tarpley, J. D., Schneider, S. R., and Money, R. L., 1984. Global vegetation indices from the NOAA-7 meteorological satellite. Journal of Climate and Applied Meteorology. v. 23, pp. 491-494. Townshend, J. R. G., Goff, T. E., and Tucker, C. J., 1985. Multitemporal dimensionality of images of normalized difference vegetation index at continental scales. IEEE Transactions, Geoscience and Remote Sensing, v. 23, pp. 888-895. Townshend, J. R. G., Justice, C. O., and Kalb, V. T., 1987. Characterization and classification of South American land cover types using satellite data. International Journal of Remote Sensing. v. 8, pp. 1189-1207. Townshend, J. R. G., Justice, C. O., Choudhury, B. J., Tucker, C. J., Kalb, V. T., and Goff, T. E., 1989. A comparison of SMMR and AVHRR data for conti- nental land cover characterization. International Journal of Remote Sensing. v. 10, pp. 1633-1642. Tucker, C. J., and T. A. Gatlin, 1984. Monitoring vegetation in the Nile Delta with NOAA-6 and NOAA-7 AVHRR imagery. Photogrammetric Engineering and Remote Sensing, 50(1), 53-61. Tucker, C. J., Hielkema, J. U., and Roffey, j., 1985a. The potential of satellite remote sensing of ecological conditions for survey and forecasting desert-locust activity. International Journal of Remote Sensing, 6(1), 127- 138. Tucker, C. J., Vanpraet, C. L., Sharman., M. J., and van Ittersum, G., 1985b. Satellite remote sensing of total herbaceous biomass production in the Senegalese Sahel: 1980-1984. Remote Sensing of Environment, 17, 233-249. Tucker, C. J., Fung, I. Y., Keeling, C. D., and Gammon, R. H., 1986. Relationship between atmospheric CO2 variations and a satellite-derived vegetation index. Nature, v. 319, pp. 195-199. Walsh, S. J., 1987. Comparison of NOAA-AVHRR data to meteorological drought indices. Photogrammetric Engineering and Remote Sensing, 53(8), 1069-1074. Wiegand, C. L., Gerbermann, A. H., Gallo, K. P., Blad, B. L., and Dusek, D., 1990. Multisite analyses of spectral-biophysical data for corn. Remote Sensing of Environment, v. 33, pp. 1-16.