Previous PageTable Of ContentsNext Page


References

Berk, A., Berstein, L. S. & Robertson, D. C. 1989. MODTRAN a Moderate Resolution Model for LOWTRAN 7, Air Force Geophysics Laboratory, AFGL-TR-89-0122, Hanscom AFB, MA 01731, April, 1989.

Czaplewski, R. 2002. On sampling for estimating global tropical deforestation. 2002. Forest Resource Assessment Programme.Working Paper 60. FAO. Rome 2002. (http://www.fao.org/forestry/fo/fra/index.jsp )

Drigo, R. 2002. Trends and patterns of Tropical land use change. Manuscript. FAO, Rome.

FAO 1996. Forest Resource Assessment 1990. Survey of tropical forest cover and study of change process. Forestry Paper No. 130. Rome.

FAO 2000. Global Forest Survey, Concept Paper. 2000. Forest Resource Assessment Programme.Working Paper 28. FAO. Rome 2000. (http://www.fao.org/forestry/fo/fra/index.jsp )

FAO 2001 a. Global Forest Resource Assessment 2000. Main Report. Forestry Paper 140. FAO, Rome. ISSN 0258-6150. (http://www.fao.org/forestry/fo/fra/main/index.jsp ).

FAO 2001 b. Pan-Tropical Survey of Forest Cover Changes 1980-2000. FAO FRA 2000 Working Paper 49. FAO. Rome. (http://www.fao.org/forestry/fo/fra/index.jsp ).

Franco-Lopez, H., Ek, A.R., & Bauer, M. E., 2001. Estimation and mapping of forest stand density, volume and cover type using the k-nearest neighbors method. Remote Sensing of Environment, 77, 251-274.

Katila, M., Heikkinen, J., & Tomppo, E. 2000. Calibration of small-area estimates for map errors in multisource forest inventory. Canadian Journal of Forest Research, 30, 1329-1339.

Katila, M. & Tomppo, E. 2002. Small area estimates for multi-source forest inventory by strata. Canadian Journal of Forest Research. In press.

McRoberts, E. Nelson, M. D., & Wendt, D. G. 2002. Stratified estimation of forest area using satellite imagery, inventory data, and the k-Nearest Neighbors Remote Sensing of Environment 2002. In press.

Nilsson, M. 1997. Estimation of Forest Variables Using Satellite Image Data and Airborne Lidar. PhD thesis. Swedish University of Agricultural Sciences, The Department of Forest Resource Management and Geomatics, Acta Universitatis Agriculturae Suecica. Silvestria 17.

Poso, S., Wang, G. and Tuominen, S., 1999. Weighting Alternative Estimates when Using Multi-Source Auxiliary Data for Forest Inventory. Silva Fennica 33 (1), 41-50.

Stokstad, E. 2001. U.N. Report suggests slowed forest losses. Science 291, 2294.

Tokola, T., Pitkänen, J., et al. 1996. Point accuracy of a non-parametric method in estimation of forest characteristics with different satellite materials. International Journal of Remote Sensing, 17, 2333-2351.

Tomppo, E. 1990. Designing a Satellite Image-Aided National Forest Survey in Finland. The Usability of Remote Sensing for Forest Inventory and Planning. Proceedings from SNS/IUFRO workshop, 26-28 February, 1990 (pp. 43-47) Umeå, Sweden.

Tomppo, E. 1996. Multi-source National Forest Inventory of Finland. In: R. Vanclay, J. Vanclay, & S. Miina (Eds.) New Thrusts in Forest Inventory. Proceedings of the Subject Group S4.02-00 ‘Forest Resource Inventory and Monitoring’ and Subject Group S4.12-00 ‘Remote Sensing Technology’. Volume 1. IUFRO XX World Congress 6-12 August 1995 (pp. 27-41) Tampere, Finland. EFI Proceedings No. 7. 15 pp. European Forest Institute. Joensuu, Finland.

Tomppo, E., Nilsson, et al. 2002. The co-use of Landsat-TM and IRS-1C WiFS data in estimating Large Area Tree Stem Volume and Above-Ground Biomass. Remote Sensing of Environment. In press.

Tomppo, E. & Halme, M. 2002. Selecting weights of satellite image and ancillary information in k-nn estimation - a genetic algorithm approach. Manuscript. Finnish Forest research Institute.

Vermote, E. F.,Tanré, D. et al. 1997. Second simulation of the satellite signal in the solar spectrum, an overview. IEEE Transactions on Geoscience and Remote Sensing. 35(3): 675-686.

Zhu, Z. & E. Walter. 2001. Global forest cover mapping. FRA Working Paper No. 50. Rome. 29pp.


Previous PageTop Of PageNext Page