6. References and technical resources

Anon. 2001. Global Forest Resources Assessment 2000. Main report. FAO Forestry Paper 140.. Rome, Italy, FAO.
Cochran, W.G. 1977. Sampling techniques. (3rd ed.). New York, USA, Wiley. (available at http://www.wiley.com/WileyCDA/WileyTitle/productCd-047116240X.html.)
Cunia, T. 1978. On the objectives and methodology of national forest inventories. In: Forest resource inventory. Joint Meeting of IUFRO Groups S4.02 and S4.04. 18-26 June 1978. Institutul de Cerctari si Amenageri Silvice., XI-XXIX.. Bucharest, Romania,
Czaplewski, R.L. 2003. Chapter 5: Accuracy assessment of maps of forest condition: statistical design and methodological considerations. In Remote Sensing of Forest Environments: Concepts and Case Studies, pp. 115-140. Boston, USA, Kluwer Academic Publishers.
Ilvessalo, Y. 1927. The forests of Suomi Finland. Results of the general survey of the forests of the country carried out during the years 1921--1924.. Communicationes ex Instituto Quaestionum Forestalium Finlandie 11.,

Summary in English p. 321-395.


Loetsch, F. and Haller, K.E. 1973. Forest Inventory. Vol II, München, Germany, BLV Verlagsgesellschaft mbH.
Loetsch, F. and Haller, K.E. 1973. Forest Inventory. Vol. I, München, BLV Verlagsgesellschaft mbH.
Matérn, B. 1960. Spatial variation. Stochastic models and their application to some problems in forest survey and other sampling investigations. In Meddelanden från Statens Skogsforskningsinstitut 49,
McRoberts, R.E. 2003. Compensating for missing plot observations in forest inventory estimation. In Canadian Journal of Forest Research, vol. 33, pp. 1990-1997.
McRoberts, R.E., Wendt, D.G., Nelson, M.D., and Hansen, M.H. 2002. Using a land cover classification based on satellite imagery to improve the precision of forest inventory area estimates. In Remote Sensing of Environment, vol. 81, pp. 36-44.
Ranneby, B. 1981. Medelfelsformer till skattningar baserade på material från den 5:e riksskogstaxeringen. Abstract: Estimation of standard errors in systematic sampling.. Report 21, Umeå, Sweden, Swedish University of Agricultural Sciences, Section of Forest Biometry.
Ranneby, B., Cruse, T.H., Hägglund, B., Jonasson, H., and Swärd, J. 1987. Designing a new national forest survey for Sweden. Studia Forestalia Suecica 177,
Schreuder, H. T.; Gregoire, T. G. and Wood, G. B. 1993. Sampling methods for multiresource forest inventory. New York, USA, John Wiley & Sons. (available at http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471552453.html.)
Schreuder, H.T., Ernst, R., and Ramirez-Maldanado, H. 2004. Statistical techniques for sampling and monitoring natural resources. Gen. Tech. Rep. RMRS-GTR-126., United states, USDA Forest Service, Rocky Mountain Research Station, Ft. Collins, CO.. (available at http://www.fs.fed.us/rm/pubs/rmrs_gtr126.html.)
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Tomppo, E. and Halme, M. 2004. Using coarse scale forest variables as ancillary information and weighting of variables in k-NN estimation: a genetic algorithm approach. In Remote Sensing of Environment, vol. 92, pp. 1-20.
Tomppo, E., Varjo, J., Korhonen, K., Ahola, A., Ihalainen, A., Heikkinen, J., Hirvelä, H., Mikkelä, H., Mikkola, E., Salminen, S. and Tuomainen, T. 1997. Country report for Finland. In: Study on European Forestry Information and Communication Systems. Reports on forestry inventory and survey systems.. vol. 1, pp. 145-226, European Commission.
White, D, Kimerling, J., and Overton, S.W. 1992. Cartographic and geometrics components of a global sampling design for environmental monitoring. In Cartography and Geographic Information Systems, vol. 19, pp. 5-22.