Regional forest biomass and wood volume estimation using satellite data and ancillary data

Agricultural and Forest Meteorology

Volumn 98-99, Issue , 1999, Pages 417-425

  Fazakas, Z ^a   Nilsson, M ^a   Olsson, H ^a  

^a SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

Author keywords

Digital satellite images; Forest biomass; Forest wood volume

Indexed keywords

BIOMASS; ESTIMATION METHOD; FOREST ECOSYSTEM; RESEARCH PROGRAM; SATELLITE DATA;

SWEDEN;

EID: 0033621319     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-1923(99)00112-4     Document Type: Article

References (15)

1. Anonymous, 1997. Instruktion för fältarbetet vid riksskogstaxeringen, Sveriges Lantbruksuniversitet, Institutionen för skogstaxering, Umeå.
2. Hägglund, B., 1983. En ny svensk riksskogstaxering. Swedish University of Agricultural Sciences, Department of Forest Survey, 74 pp.
3. Isaaks, E.H., Srivastava, R.M., 1989. Applied Geostatistics. Oxford University Press.
4. Killki, P., Päivinen, R., 1987. Reference sample plots to combine field measurements and satellite data in forest inventory, In: Remote Sensing-Aided Forest Inventory. Seminars organised by SNS and Taksaattoriklubi, Hyytiälä, Finland, pp. 209-212.
5. Li, C.Z., Ranneby, B., 1992. The precision of the estimated forest data from the National Forest Survey 1983-1987. Swedish University of Agricultural Sciences, Department of Forest Survey, 54 pp.
6. Marklund, L.G., 1988. Biomass functions for pine, spruce and birch in Sweden. Swedish University of Agricultural Sciences, Department of Forest Survey, Report 45.
7. Muinonen, E., Tokola, T., 1990. An application of remote sensing for communal forest inventory. In: SNS/IUFRO workshop. The Usability of Remote Sensing for Forest Inventory and Planning, Umeå, pp. 35-42.
8. Nilsson, M., Ranneby, B., 1997. Estimation of wood volume using satellite spectral data. A simulation study. Acta Universitatis Agriculturae Suecia. Silvestria 17. Estimation of forest variables using satellite image data and airborne Lidar. Doctoral thesis Paper III. Swedish University of Agricultural Sciences.
9. Nilsson, M., 1997. Simultaneous estimation of forest variables using Landsat TM data. Acta Universitatis Agriculturae Suecia. Silvestria 17. Estimation of forest variables using satellite image data and airborne Lidar. Doctoral thesis Paper IV. Swedish University of Agricultural Sciences.
10. Ranneby, B., Cruse, T., Hägglund, B., Jonasson, H., Swärd, J., 1987. Designing a new national forest survey for Sweden. Studia Forestalia Suecica, No. 177. Swedish University of Agricultural Sciences, Faculty of Forestry, Uppsala, Sweden.
11. Segebaden, V.G. (Ed.), 1995. Skogsdata 95 - Aktuella uppgifter om de svenska skogarna från riksskogstaxeringen. SLU, Institutionen for skogstaxering, Umeå.
12. Söderberg, U., 1986. Functions for forecasting of timber yields - Increment and form height for individual trees of native species in Sweden. SLU, Section of Forest Mensuration and Management, Report 14, Umeå.
13. Tokola T., Pitkänen J., Partinen S., Muinonen E. Point accuracy of a non-parametric method in estimation of forest characteristics with different satellite materials. Int. J. Rem. Sensing. 17:1996;2333-2351.
14. 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 in Umeå, 26-28 February 1990. (Umeå: Swedish University of Agricultural Sciences, Remote Sensing Laboratory) Report 4, pp. 43-47.
15. Tomppo, E., 1993. Multi-Source National Forest Inventory of Finland. In: Proceedings of Ilvessalo Symposium on National Forest Inventories, 17-21 August, 1992, Finland. pp. 52-59.