Achard, F. and Blasco, F., 1990. Analysis of vegetation seasonal evolution and mapping of forest cover in West Africa with the use of NOAA AVHRR HRPT data. Photogrammetric Engineering and Remote Sensing, 10: 1359-1365.
Amaral, S., 1991a. Deforestation estimates in AVHRR-NOAA and TM-Landsat images for a region in Central Brazil. In Proceedings of the XVII Congress of the International Society of Photogrammetry and Remote Sensing, Washington, DC, August 2-14, 1992.
Amaral, S., 1991b. Imagens do sistema sensor AVHRR-NOAA na deteccao e avaliacao de desmatamentos na floresta Amazonica- relacoes com dados do sistema TM-Landsat. MSc Thesis, INPE, Sao Jose dos Campos, Brazil, 166 pp.
Batista, G.T. and Tucker, C.J., 1992. Assessment of AVHRR data for deforestation estimation in Mato Grosso (Amazon Basin). In Proceedings of the XVII Congress of the International Society of Photogrammetry and Remote Sensing, Washington, DC, August 2-14, 1992.
Belward, A.S., 1991. Remote sensing for vegetation monitoring on regional and global scales. In : Remote Sensing and GIS for Resource Management in Developing Countries (Belward,A.S. and Valenzuela,C.R. eds.), Kluwer Academic Publishers, pp. 169-188.
Belward, A.S. and Lambin, E., 1990. Limitations to the identification of spatial structures from AVHRR data. International Journal of Remote Sensing, 11: 921-927.
Belward, A.S., Vogt ,J.V., Falk-Langermann, A., Saradeth, S. and Cambridge, H., 1992. Preparationof AVHRR GAC data sets for global change studies. In Proceedings of the European 'International Space Year' Conference held at Munich, Germany, 30 March-4 April 1992, ESA ISY-1, pp.19-24.
Belward, A., Ed. The IGBP-DIS Global 1Km Land Cover Data Set “DISCover”: Proposal and Implementation Plans. 1996. IGBP-DIS Working Paper 13. International Geosphere Biosphere Programme. European Commission Joint Research Center, Ispra, Varese, Italy.
Bird, R.E., 1984. A simple, solar spectral model for direct-normal and diffuse horizontal irradiance. Solar Energy, 32: 461-471.
Beard, J.S., 1955. The classification of tropical american vegetation types. Ecology, 36, 89-101.
Breaker, L.C., 1990. Estimating and removing sensor-induced correlation from advanced very high resolution radiometer data. Journal of Geophysical Research, 95: 9701-9711.
Borella, H.M., J.E. Estes, C.E. Ezra, J. Scepan, and L. Tinney, 1982, Image Analysis for Facility Siting: A Comparison of Low-and High-Altitude Image Interpretability for Landuse/Landcover Mmapping. United States Nuclear Regulatory Commission Publication, NUREG/CR-2861, S-744-R; 61p.
Box, E.O, Holben, B.N. and Kalb,V., 1989. Accuracy of the AVHRR vegetation index as a predictor of biomass, primary productivity and net CO2 flux. Vegetatio, 80: 71-89.
Cihlar, J., Manak, D., Dílorio, M., 1994. Evaluation of compositing algorithms for AVHRR data over land, IEEE Transactions on Geoscience and Remote Sensing, 32: 427-437.
Cochran, W.G., 1977. Sampling Techniques. Wiley Series in Probability and Mathematical Statistics. New York, NY.
Congalton,. R.G., 1991, A review of assessing the accuracy of classifications of remotely sensed data, Remote Sensing Environment , 37:35-46.
Congalton, R.G. and Kass Green, 1999. Assessing the Accuracy of Remotely Sensed Data: Principals and Practices. Lewis Publishers, New York, NY.
Conservation International, 1991. Biodiversity at Risk:Atlas and map. Consrvation International, Washington, DC, USA.
Cross, A., 1990. Tropical Deforestation and Remote Sensing: The use of NOAA/AVHRR data over Amazonia. Final report to the Commission of the European Communities (B946/88), Geneva, 60 pp.
Cross, A., 1991a. NOAA/AVHRR as a data source for a tropical forest GIS: Deforestation in Amazonia.In Proceedings of IGARSS-90, held in Washington D.C.,U.S.A., May 21-25 1990, 223-226.
Cross, A., 1991b. Tropical Forest Monitoring using AVHRR: Towards an automated system for change detection. Final Report to UNEP-GRID, Geneva, 44pp.
Cross, A., Settle, J.J., Drake, N.A. and Paivinen,R.T.M., 1991. Subpixel measurement of tropical forest cover using AVHRR data. International Journal of Remote Sensing, 12, 1119-1130.
Czaplewski, R.L., 1992, Missclassification bias in areal estimates, Photogrammetric Engineering and Remote Sensing , 58:189-192.
DeFries, R., and J.R.G. Townshend. 1994. NDVI-derived Land Cover Classifications at a Global Scale. International Journal of Remote Sensing. Vol. 15. No.7. pp. 3443-3462.
DeFries, R.S., and S.O. Los, 1999. Implications of Land Cover Misclassification Parameter Estimates in Global Land Surface Models: An Example from the Simple Biosphere Model (SiB2). Photogrammetric Engineering and Remote Sensing (special issue).
DeFries, R. S. and J. R. G. Townshend, 1994, NDVI-derived land cover classification at a global scale, International Journal of Remote Sensing, 15: 3567-3586.
EEA Task Force. 1992. CORINE Land Cover. Brochure prepared as contribution to European Conference of the International Space Year. Munich. 30 March - 4 April, 1992. 22p.
EEC Council Regulation 1615/89. Official Journal of the European Communities, 15.6.89. No. L. 165/12-13.
EEC Council Regulation 2080/92. Official Journal of the European Communities, 30.7.92. No. L. 215/96-99.
Eggen-McIntosh,S.E., Munoz,E.B, Ornelas de Anda, J.L, and others, 1992. Forest Cover Mapping of Mexici using Advanced Very High Resolution Radiometer Imagery. In Proceedings, Mapping and Monitoring global change, ASPRS/ACSM/RT’92 technical papers, vol 5, pp 410-416, Aug 3 – 8 1992, Washington D.C.
Eidenshink, J.C. and J.L. Faundeen, 1994. The 1km AVHRR Global Land Cover Data Set: First Stages in Implementation. International Journal of Remote Sensing. Vol. 15. No.7. pp. 3567-3586.
Emery, W.J., Brown, J. and Nowak, Z.P., 1989. AVHRR image navigation: summary and review. Photogrammetric Engineering and Remote Sensing, 55: 1175-1183.
ESA. 1993. ISY Forest Map of Europe Based on NOAA-AVHRR. Report No. 9730/91/NL/FG.ESA/ESTEC. Noordwijk, The Netherlands.
Estes, J.E., J. Scepan, and L. Ritter, 1987. Evaluation of Low Altitude Remote Sensing Techniques for Obtaining Environmental Information. U.S. Nuclear Regulatory Commission Publication NUREG/CR-3583; S-762-R.
Estes, J.E. and W. Mooneyhan, 1994, Of Maps and Myths, Photogrammetric Engineering and Remote Sensing, Vol. 60, No. 5, pp. 517-524.
European Commission, 1995. Regionalisation and Stratification of European Forest Ecosystems. Joint Research Centre of the European Commission, Institute for Remote Sensing Applications, Environmental Mapping and Modelling Unit. internal Publication, No.S.P.I.95.44.
Fearnside, P.M., 1991. Deforestation in Brazilian Amazon. In : The Earth in Transition: patterns and processes of biotic impoverishment (Woodwell,G.M. Ed.), Cambridge University Press, pp. 211-238.
Finnish Ministry of Agriculture and Forestry. 1993. The Resolutions and the General Declarations of the Second Ministerial Conference on the Protection of Forests in Europe. Ministerial Conference on the Protection of Forests in Europe, 16-17 June, 1993. Helsinki.
Fitzpatrick-Lins, Katherine. The Accuracy of Selected Land Use and Land Cover Maps at Scales of 1:250,000 and 1:100,000. Geological Survey Circular 829, 1980.
Folving, S., G. Ertner and T. B. Svendsen (eds.). 1992. European Collaborative Programme Workshop on Remote Sensing for Forestry Applications. Copenhagen, Denmark. 13-15 November 1991. Brussels - Luxembourg: CEC- EUR 144445 EN.
Fusco, L., Muirhead, K. and Tobiss, G., 1989. Earthnet's coordination scheme for AVHRR data. International Journal of Remote Sensing, 10: 635-636.
Fung, I.Y., Tucker, C.J. and Prentice, K.C., 1987. Application of advanced very high resolution radiometer vegetation index to study atmosphere-biosphere exchange of CO2. Journal of Geophysical Research, 92: 2999-3015.
Gervin, J.C., Kerber, A.G., Witt, R.G., Lu, Y.C. and Sekhon,R., 1985. Comparison of level I land cover classification accuracy for MSS and AVHRR data. International Journal of Remote Sensing, 6: 47-57.
Goward, S.N. and Dye, D.G., 1987. Evaluating North American net primary productivity with satellite observations. Advances in Space Research, 7: 165-174.
Goward, S.N., Tucker, C.J. and Dye, D.G., 1985. North American vegetation patterns observed with the NOAA-7 advanced very high resolution radiometer. Vegetatio, 64: 3-14.
Goward, S.N., Kerber, A., Dye, D.G and Kalb, V., 1987. Comparison of North and South American biomes from AVHRR observations. Geocarto, 2: 27-40.
Goward, S.N., Markham,B., Dye, D.G., Dulaney, W. and Yang, J., 1991. Normalized difference vegetation index measurements from advanced very high resolution radiometer.Remote Sensing of the Environment, 35: 259-279.
Goward, S.N., Dye,G., Turner, S. and Yang, J., 1992. Objective assessment of the NOAA Global Vegetation Index data product. International Journal of Remote Sensing,, (in press).
Gregoire, J.M., Flasse, S. and Malingreau, J.P., 1988. Evaluation de l'action des feux de brousse, de novembre 1987 a fevrier 1988, dans la region frontaliere Guinee-Sierra Leone. Exploitation des images NOAA-AVHRR. Report CCR SPI 88.39. CEC-JRC, Ispra, Italy.
Gutman, G.,1987. The derivation of vegetation indices from AVHRR data. International Journal of Remote Sensing, 8: 1235-1243.
Gutman, G.,1991. Vegetation indices from AVHRR: An update and future prospects. Remote Sensing of the Environment, 35: 121-136.
Häusler, T., S. Saradeth and Y. Amitai. 1993. NOAA-AVHRR Forest Map of Europe. In: Proceedings of International Symposium Operationalization of Remote Sensing. 19-23 April 1993, Enschede, The Netherlands. Eds. J.L. van Genderen, R.A. van Zuidam and C. Pohl, Vol. 8., pp. 37-48. Enschede, ITC.
Holben, B.N., 1986. Characteristics of maximum-value composite images from temporal AVHRR data, International Journal of Remote Sensing, 7:1417-1434.
Holben, B.N., Kaufman,Y.J. and Kendall, J.D., 1990. NOAA-11 AVHRR visible and near-IR inflight calibration. International Journal of Remote Sensing, 11: 1511-1519.
I.B.G.E., 1988. Instituto Brasiliero de Geografia e Estatistica Mapa de Vegetacao do Brasil. 1:5m scale map, Rio de Janeiro, Brazil.
Husak, G.J., B.C. Hadley, and K.C. McGwire, 1999. Registration Accuracy of High-Resolution Satellite Data Used in the IGBP Validation. Photogrammetric Engineering and Remote Sensing (this issue).
IUFRO, 1994. IUFRO World Series Vol. 5. IUFRO Guidelines for Forest Monitoring. R. P”ivinen, H.G. Lund, Simo Poso and T. Zawila-Niedzwiecki (Eds). IUFRO Secretariat, Vienna, 1994.
Justice, C.O., Townshend, J.R., Holben, B.N., and Tucker, C.O., 1985. Analysis of the phenology of global vegetation using meteorological satellite data, International Journal of Remote Sensing, 6: 1271-1381.
Justice, C.O., 1992. Satellite monitoring of tropical forests: a commentary of current status and institutional roles. In Proceedings International Space Year-World Forest Watch Conference, held in May 27-29 1992, Sao Jose dos Campos, Brazil, EUR 14561 EN, 19-33.
Justice, C.O., Townshend, J.R.G., Holben, B.N. and Tucker, C.J., 1985. Analysis of the phenology of global vegetation using meteorological satellite data. International Journal of Remote Sensing, 6: 1271-1281.
Justice, C.O., Dugdale, G., Townshend, J.R.G., Narracott, A. and Kumar, N., 1991. Synergism between NOAA-AVHRR and Metoesat data for studying vegetation in semi-arid West Africa. International Journal of Remote Sensing, 12: 1349-1368.
Kelly, M., J. E. Estes and K.A. Knight. 1999, Image Interpretation Keys for Validation of Global Land Cover Data Sets. Photogrammetric Engineering and Remote Sensing (this issue).
Kennedy, P.J., Paivinen, R., and Roihuvuo, L., 1995. Proceedings to Workshop on Designing a System of Nomenclature for European Forest Mapping, Joensuu, Finland, 13-15 June, 1994. Published by CEC, Luxembourg, 1995.
Kennedy, P.J., S. Folving, and N. McCormick. 1995. European Forest Ecosystems Mapping and Forest Statistics: The FIRS Project. In: Proceedings of Workshop on Designing a System of Nomenclature for European Forest Mapping, Joensuu, Finland, 13-15 June, 1994. (Edited by P. Kennedy, R. Päivinen and L. Roihuvuo), Published by CEC, Luxembourg, 1995.
Kerber, A.G., 1983. Utility of the Advanced Very High Resolution Radiometer (AVHRR) middle infrared and thermal channels in land cover mapping. In Proceedings of a National Conference on Resource Management Applications: Energy and Environment, VII: 32-40.
Kerber, A.G. and Schutt,J.B., 1986. Utility of AVHRR channels 3 and 4 in land-cover mapping.Photogrammetric Engineering and Remote Sensing, 52: 1877-1883.
Kidwell, K.B., 1991. NOAA Polar Orbiter Data User's Guide. Washington, DC: National Oceanic and Atmospheric Administration, World Weather Building, Romm 100. (First issued 1986, revised 1991).
Kogan, F.N., 1990. Remote sensing of weather impacts on vegetation in non-homogeneous areas. International Journal of Remote Sensing, 11: 1405-1420.
Kuusela, K., 1994. Resources in Europe 1950-1990. Cambridge University Press.
Lambin, E.F., and Ehrlich, D., 1996, The surface temperature-vegetation index space for land cover and land cover change analysis, International Journal of Remote Sensing, 17: 463-487.
Leemans, R., and Cramer, W.P., 1992. USA database for mean monthly values of temperature, precipitation and cloudiness on a global terrestrial grid. Digital raster data on a 30 minute geographic (Lat/Long) 360 x 720 grid. In: Global Ecosystems Database version 1.0: Disc A. Boulder, CO: NOAA National Geophysical Data Center. 36 independent single-attribute spatial layers on CD-ROM, 15.6 MB (First published in 1991).
Loveland, T., Merchant, J., Ohlen, D., and Brown, J., 1991. Development of a land-cover characteristics database for the contermious US. Photogrammetric Engineering and Remote Sensing, 57: 1453-1463
Loveland, T.R., Z. Zhu, D.O. Ohlen, J.F. Brown, B.C. Reed and L. Yang, 1999. An Analysis of the IGBP Global Land Cover Characterization Process. Photogrammetric Engineering and Remote Sensing (this issue).
Lloyd, D., 1990. A phenological classification of terrestrial vegetation cover using shortwave vegetation index imagery. International Journal of Remote Sensing, 11: 2269-2280.
Lunetta, Ross S., Congalton, Russell G., Fenstermaker, Lynn K., Jensen, John R., McGwire, Kenneth C., and Tinney, Larry R. Remote Sensing and Geographic Information System Data Integration: Error Sources and Research Issues. Photogrammetric Engineering and Remote Sensing, Vol. 47, No. 6, June 1991, pp. 677-687.
Malingreau, J.P., 1990. The contribution of remote sensing to the global monitoring of fires in tropical and subtropical ecosystems. In : Fire in the Tropical Biota, Ecosystem Processes and Global Challenges (Goldammer,J, Ed), Springer-Verlag, Berlin, pp.337-370.
Malingreau, J.P., 1992. Satellite based forest monitoring: A review of current issues. In Proceedings International Space Year-World Forest Watch Conference, held in May 27-29 1992, Sao Jose dos Campos, Brazil, EUR 14561 EN, 84 pp.
Malingreau, J.P. and Belward, A.S., 1992. Scale considerations in vegetation monitoring using AVHRR data.International Journal of Remote Sensing, 13, 2289-2307.
Malingreau, J.P. and Tucker, C.J., 1987. The contribution of AVHRR for measuring and understanding global processes: large scale deforestation in the Amazon Basin. In Proceedings of the IGARSS'87 conference held in Ann Arbor, Michigan, USA, on 18-21 May 1987 (New York: IEEE), 443-448.
Malingreau, J.P. and Tucker, C.J., 1988. Large scale deforestation in the Southeastern Amazon Basin of Brazil. Ambio, 17: 49-55.
Malingreau, J.P. and Tucker, C.J., 1990. Ranching in the Amazon Basin, Large-scale changes observed by AVHRR. International Journal of Remote Sensing, 11: 187-189.
Malingreau, J.P, Stephens,G. and Fellows, L., 1985b. Remote sensing of forest fires: Kalimantan and North Borneo in 1982-3. Ambio, 14: 314-5.
Malingreau, J.P., Tucker, C.J. and Laporte, N., 1989. AVHRR for monitoring global tropical deforestation, International Journal of Remote Sensing, 10: 855-867.
Malingreau, J.P., DaCunha, R. and Justice,C. (Eds), 1992. Proceedings International Space Year-World Forest Watch Conference, held in May 27-29 1992, Sao Jose dos Campos, Brazil, EUR 14561 EN, 35-47.
Mannstein, H. and Gessell,G., 1991. Deconvolution of AVHRR-data. In Proceedings of the 5th European AVHRR Data Users Meeting, held at Tromso, Norway, 25-28 June 1991, EUM P09, ISBN 92-9110-003-X, 53-56.
Matson, M. and Holben, B.N., 1987. Satellite detection of tropical burning in Brazil. International Journal of Remote Sensing, 8: 509-516.
Matson, M., Stephens,G. and Robinson, S., 1987. Fire detection using data from the NOAA-N satellites.International Journal of Remote Sensing, 8: 961-970.
Meyer-Roux, J., and Vossen, P., 1993. The first phase of the MARS project, 1988-1993: overview, methods and results, Proceedings of Conference on the MARS Project : Overview and Perspectives, Institute for Remote Sensing Applications, Villa Carlotta, Belgirate, Lake Maggiore, Italy, 17-18 November, 1983, pp. 33-81.
Moody, A. and Strahler, A., 1994, Characteristics of composited AVHRR data and problems in their classification, International Journal of Remote Sensing, 15: 3473-3491.
Muchoney, D., A. Strahler, J. Hodges and J. Locastro, 1999. The IGBP DISCover Confidence Sites and the System for Terrestrial Ecosystem Parameterization: Tools for Describing and Validating Global Land Cover Data. Photogrammetric Engineering and Remote Sensing (1999).
Murai, S. and Honda,Y., 1992. World vegetation map from NOAA GVI data. In : Applications of Remote Sensing in Asia and Oceania, Asian assoc. of remote sensing (Murai,S. Ed), pp. 3-9.
Nelson, R. and Holben, B., 1986. Identifying deforestation in Brazil using multiresolution satellite data. International Journal of Remote Sensing, 7: 429-448.
Nelson, R. and Horning,N., 1987. Monitoring tropical deforestation in Mato Grosso, Brazil, using Landsat MSS and AVHRR data. Final Report to The Ecosystems Center, Marine Biological Laboratory, Woods Hole, Massachusetts, USA (MBL P.O. 19167225), 47 pp.
Nelson, R., Horning, N. and Stone,T.A., 1987. Determining the rate of forest conversion in Mato Grosso, Brazil, using Landsat MSS and AVHRR data. International Journal of Remote Sensing, 8: 1767-1785.
NOAA, 1992. Polar Metsat planning launch schedule and satellitre imagers, Bulletin, 1992, 2pp.
Pereira, M.C and Setzer,A.W., 1992. Spectral characterization of forest fires in NOAA-AVHRR images. International Journal of Remote Sensing,(in press).
Pearson, E.S. and Hartley, H.O. (Eds.). Biometrika Tables for Statisticians. Volume 1, 3rd Edition. Cambridge University Press, Cambridge, England. 1966.
Price, J., 1984. Land surface temperature measurements from the split window channels of the NOAA 7 advanced very high resolution radiometer, Journal of Geophysical Research, 89: 7231-7237.
Prince, S.D., Justice, C.O. and Los, S.O., 1990. Remote Sensing of the Sahelian Environment. Ispra, Italy; Commission of the European Communities.
Rosenfield, George H., K. Fitzpatrick-Lins, and H.S. Ling. Sampling for Thematic Map Accuracy Testing. Photogrammetric Engineering and Remote Sensing, Vol. 48, No. 1, 1981, pp. 131-137.
Roy, D.P, Kennedy, P., Folving, S., 1996, An Operational Methodology for Mapping European Forest Cover using Low Spatial Resolution Satellite Data, Proceedings of International Workshop on the Application of Remote Sensing in European Forest Monitoring, Institute for Surveying and Remote Sensing, University of Agriculture, Vienna, Austria, 14-16th October 1996.
Roy, D.P., Kennedy, P., Folving, S., 1997, Combination of the normalised difference vegetation index and surface temperature for regional scale European forest cover mapping using AVHRR data. International Journal of Remote Sensing, 18:1189-1195.
Roy, D.P., 1997, Investigation of the maximum Normalised Difference vegetation Index (NDVI) and the maximum surface temperature (Ts) AVHRR compositing algorithms for the extraction of NDVI and Ts over forest. International Journal of Remote Sensing
Running, S.W., Justice, C.O., Salomonson, V., Hall, D., Barker, J., Kaufman, Y.J., Strahler, A.H., Heute, A.R., Muller, J.-P., Vanderbilt, V., Wan, Z.M., Teillet, P., and Carneggie, D., 1994. Terrestrial remote sensing science and algorithms planned for EOS/MODIS, International Journal of Remote Sensing, 15: 3587-3620.
Sader, S.A., Stone,T.A. and Joyce, A.T., 1990. Remote sensing of Tropical Forests: An overview of research and applications using non-photographic sensors. Photogrammetric Engineering and Remote Sensing, 56: 1343-1351.
Saunders, R.U. and Kriebel, K.T., 1988. An improved method for detecting clear sky and cloudy radiances from satellite radiances.International Journal of Remote Sensing, 9: 123-150.
Scepan, J., G. Menz and M.C. Hansen (1999). The DISCover 1.0 Image Interpretation Process. Photogrammetric Engineering and Remote Sensing (Jan 2000).
Sellers, P.J., 1985. Canopy reflectance, photosynthesis, and transpiration. International Journal of Remote Sensing, 6: 1335-1371.
Singh, A., 1987. Spectral separability of tropical forest classes. International Journal of Remote Sensing, 8: 971-979.
Skula, J., Nobre,C. and Sellers,P.J., 1990. Amazon Deforestation and Climate Change. Science, 247: 1322-1784.
Stone, T.A. and Schlesinger,P., 1990. Monitoring deforestation in the tropics with NOAA AVHRR and Landsat data. In Proceedings of an International Symposium on Primary Data Acquisition, Manaus, 1990. International Archives of Photogrammetry and Remote Sensing, 28: 197-202.
Stone, T.A. and Schlesinger,P., 1992. Using 1km resolution satellite data to classify the vegetation of South America. In Proceedings of a conference on Remote Sensing and permanent plot techniques for world forest monitoring, held on 13-17 January 1992, IUFRO, Pattaya, Thailand, 85-93.
Stone, T.A. Foster-Brown,I; and Woodwell,G.M., 1991. Estimation, by remote sensing, of deforestation in central Rondonia, Brazil. Forest Ecology and Management, 38: 291-304.
Story, M. and R.G. Congalton, 1986. Accuracy Assessment: A User’s Perspective. Photogrammetric Engineering and Remote Sensing, Vol. 53, No. 3, p. 397-399.
Tarpley, J.D., Schneider,S.R. and Money,R.L., 1984. Global vegetation indices from the NOAA-7 meteorological satellite. Journal of Climate and Meteorology, 23: 491-494.
Tateishi, R. and Kajiwara,K., 1992. Global land cover classification by NOAA GVI data. In : Applications of Remote Sensing in Asia and Oceania, Asian assoc. of remote sensing (Murai, S. Ed), 3-9.
Teillet, P.M. and Holben,B.N., 1992. A multi-level electronic database for documentation and dissemination of time-dependent NOAA-AVHRR calibration coefficients for the solar reflective channels. In Proceedings of the 6th Australasian Remote Sensing Conference, Wellington, New Zealand.
Thomas, I.L., Benning, V.M., and Ching, N.P., 1987. Classification of Remotely Sensed Images, Hilger, Bristol, pp. 82-101.
Townshend, J.R.G., 1992 (Ed). Improved global data for land applications. IGBP Global Change Report No.20. IGBP, Stockholm, Sweden, 87 pp.
Townshend, J.R.G., C.O. Justice, D. Skole, J.-P. Malingreau, J. Cihlar, P.Teillet, F. Sandowski and S. Ruttenberg. 1994. The 1Km Resolution Global Data Set: Needs of the International Geosphere Biosphere Programme. International Journal of Remote Sensing, Vol. 15, No. 17, 3417-3442.
Townshend, J.R.G., Goff, T.E. and Tucker, C.J., 1985. Multitemporal dimensionality of images of normalised difference vegetation index at continental scales. I.E.E.E. Transactions on Geoscience and Remote Sensing, 23: 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, , 8: 1189-1207.
Townshend, J.R.G., Justice, C.O., Li,W., Gurney, C. and McManus, J., 1991. Global land cover classification by remote sensing: present capabilities and future possibilities. Remote Sensing of the Environment, 35: 243-256.
TREES, 1991. Tropical Ecosystem Environment observation by Satellite. SP-I, 90.31. CEC-JRC, Ispra, Italy, Special Publication.
Tucker, C.J., Vanpraet, C.L., Boerwinkle,E. and Easton, A., 1983. Satellite remote sensing of total dry matter accumulation in the Senegalese Sahel. Remote Sensing of the Environment, 13: 461-469.
Tucker, C.J., Gatlin, J.A. and Schneider, S.R., 1984a. Monitoring vegetation in the Nile Delta with NOAA-6 and NOAA-7 AVHRR imagery. Photogrammetric Engineering and Remote Sensing, 50:53-61
Tucker, C.J., Holben, B.N. and Goff, T.E., 1984b. Intensive forest clearing in Rondonia, Brazil, as detected by satellite remote sensing. Remote Sensing of the Environment, 15: 255-262.
Tucker, C.J., Townshend, J.R.G. and Goff, T.E., 1985. African land-cover classification using satellite data. Science, 227: 369-375.
UNESCO, 1981. Vegetation map of South America, 2 sheets of 1:5m map, plus documentation (189 pp).
Van Roessel, J.W., 1990. First experiment for pilot test definition of large area forest monitoring methodology through sampling and use of Landsat and AVHRR imagery with applications in Brazil. Report to EROS Data Center, Sioux Falls, USA, 20 pp.
Viovy, N., 1992. Etude spatiale de la biosphere terrestre: Integration de modeles ecologiques et de mesures de teledetection. PhD Thesis.LERTS, CNES, France, 213 pp.
Viovy, N., Arino, O. and Belward,A.S., 1992. The best index slope extraction (BISE): a method for reducing noise in NDVI-time series. International Journal of Remote Sensing, 13, 1585-1590.
Vogt, J., 1992. Characterizing the spatio-temporal variability of surface parameters from NOAA AVHRR data: A case study for Southern Mali. PhD dissertation, EUR 14367 EN, CEC-JRC, Italy, 266 pp.
Walsh, T.A. and Burk, T.E, 1993, Calibration of satellite classifications of land area, Remote Sensing of Environment , 46:281-290.
Warren, D.E., 1989. AVHRR channel-3 noise and methods for its removel. International Journal of Remote Sensing, 10: 645-652.
Woodwell, G.M., Houghton, R.A., Stone, T.A., Nelson, R.F. and Kovalick,W., 1987. Deforestation in the tropics: new measurements in the Amazon Basin using Landsat and NOAA Advanced Very High Resolution Radiometer imagery. Journal of Geophysical Research, 92: 2157-2163.
Zhu, Z., and Evans, D., 1994. U.S. forest types and predicted percent forest cover from AVHRR data, Photogrammetric Engineering and Remote Sensing, 60: 525-532.
