Estimation of forest stem volume using multispectral optical satellite and tree height data in combination

Scandinavian Journal of Forest Research

Volumn 20, Issue 5, 2005, Pages 431-440

  Magnusson, Mattias ^a   Fransson, Johan E S ^a  

^a SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

Author keywords

Combined estimation; Forest inventory; Landsat TM; SPOT 4; Stand level

Indexed keywords

MOISTURE; SEED; SOIL CEMENT; SURVEYING; WOOD;

ROOT GROWTH; ROOTED CUTTING;

FORESTRY;

FORESTRY; MOISTURE; PROBABILITY; SEEDS; SOIL; SURVEYING; WOOD;

EID: 27844513403     PISSN: 02827581     EISSN: 16511891     Source Type: Journal    
DOI: 10.1080/02827580500339864     Document Type: Article

References (28)

1. Åge, P.-J. (1985). Forest inventory - Photo interpretation (Report 13) . Gävle, Sweden: National Land Survey.
2. Axelsson, H. & Nilsson, B. (1993). Skoglig flygbildstolkning. In K.-G. Enander & H. Minell (Eds.), Flygbildsteknik och Fjärranalys. [Aerial photo-technique and remote sensing] (pp. 295-336). Jönköping: Skogsstyrelsen. (In Swedish.)
3. Chavez, P. S., Jr. (1996). Image-based atmospheric corrections - Revisited and improved. Photogrammetic Engineering and Remote Sensing, 62, 1025-1036.
4. Franklin, J. (1986). Thematic mapper analysis of coniferous forest structure and composition. International Journal of Remote Sensing, 7, 1287-1301.
5. Fransson, J. E. S., Smith, G., Askne, J. & Olsson, H. (2001). Stem volume estimation in boreal forests using ERS-1/2 coherence and SPOT XS optical data. International Journal of Remote Sensing, 22, 2777-2791.
6. Fransson, J. E. S., Magnusson, M. & Holmgren, J. (2004). Estimation of forest stem volume using optical SPOT-5 satellite and laser data in combination. In T. I. Stein (Ed.), IGARSS (DVD-ROM, p. 5). Piscataway, NJ: IEEE.
7. Hagner, O. (1990). Computer aided stand delineation and inventory based on satellite remote sensing. In R. Sylvander (Ed.), SNS/IUFRO Workshop on the Usability of Remote Sensing for Forest Inventory and Planning, Report 4 (pp. 94-105). Umeå: Department of Biometry and Forest Management, Swedish University of Agricultural Sciences.
8. Holm, S. (1977). Transformationer av en eller flera beroende variabler i regressionsanalys [Transformations of one or several dependent variables in regression analysis] (HUGIN Report 7). Umeå: Forestry Faculty, Swedish University of Agricultural Sciences. (In Swedish.)
9. Holmgren, J. (2003). Prediction of tree height, basal area, and stem volume in forest stands using airborne laser scanning. In Estimation of forest variables using airborne laser scanning. Acta Universitatis Agriculturae Sueciae, Silvestria 278. Umeå: Swedish University of Agricultural Sciences.
10. Holmgren, J., Joyce, S., Nilsson, M. & Olsson, H. (2000). Estimating stem volume and basal area in forest compartments by combining satellite image data with field data. Scandinavian Journal of Forest Research, 15, 103-111.
11. Holmström, H. & Fransson, J. E. S. (2003). Combining remotely sensed optical and radar data in kNN-estimation of forest variables. Forest Science, 49, 409-418.
12. Hyyppä, J., Kelle, O., Lehikoinen, M. & Inkinen, M. (2001). A segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners. IEEE Transactions on Geoscience and Remote Sensing, 39, 969-975.
13. Jonsson, B., Jacobsson, J. & Kallur, H. (1993). The forest management planning package. Theory and application. Studia Forestalia Suecica, 189, 1 56.
14. Kellndorfer, J. M., Walker, W. S., Dobson, M. C., Vona, J. & Clutter, M. (2004). Vegetation height derivation from Shuttle Radar Topography Mission data in southeast Georgia, USA. In T. I. Stein (Ed.), IGARSS (DVD-ROM, p. 4). Piscataway, NJ: IEEE.
15. Magnusson, M. & Fransson, J. E. S. (2004a). Combining airborne CARABAS-II VHF SAR data and optical SPOT-4 satellite data for estimation of forest stem volume. Canadian Journal of Remote Sensing, 30, 661-670.
16. Magnusson, M. & Fransson, J. E. S. (2004b). Combining CARABAS-II VHF SAR and Landsat TM data for estimation of forest stem volume. In T. I. Stein (Ed.), IGARSS (DVD-ROM, p. 5). Piscataway, NJ: IEEE.
17. Meier, P. (1953). Variance of weighted mean. Biometrics, 9, 59 73.
18. Næsset, E. (2002). Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data. Remote Sensing of Environment, 80, 88-99.
19. Næsset, E., Gobakken, T., Holmgren, J., Hyyppä, H., Hyyppä, J., Maltamo, M., et al. (2004). Laser scanning of forest resources: The Nordic experience. Scandinavian Journal of Forest Research, 19, 482-499.
20. Nilson, T. & Peterson, U. (1994). Age dependence of forest reflectance: Analysis of main driving factors. Remote Sensing of Environment, 48, 319-331.
21. Nilsson, M. (1997). Wood volume estimation using satellite spectral data and tree height data. In Estimation of forest variables using satellite image data and airborne lidar. Acta Universitatis Agriculturae Sueciae, Silvestria 17. Umeå: Swedish University of Agricultural Sciences.
22. Papathanassiou, K. P. & Cloude, S. R. (2001). Single-baseline polarimetric SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 39, 2352-2363.
23. Ripple, W. J., Wang, S., Isaacson, D. L. & Paine, D. P. (1991). A preliminary comparison of Landsat Thematic Mapper and SPOT-1 HRV multispectral data for estimating coniferous forest volume. International Journal of Remote Sensing, 12, 1971-1977.
24. Ståhl, G. (1992). A study on the quality of compartmentwise forest data acquired by subjective inventory methods (Report 24). Umeå: Department of Biometry and Forest Management, Swedish University of Agricultural Sciences. (In Swedish with English summary.)
25. Tomppo, E. (1987). Stand delineation and estimation of stand variates by means of satellite images. In S. Poso (Ed.), SNS/Forest Mensurationist Workshop on Remote Sensing-Aided Forest Inventory, Report 19 (pp. 60-76). Helsinki: Department of Forest Mensuration and Management, University of Helsinki.
26. Tomppo, E. (1990). Designing a satellite image-aided national forest survey in Finland. In R. Sylvander (Ed.), SNS/IUFRO Workshop on the Usability of Remote Sensing for Forest Inventory and Planning, Report 4 (pp. 43-47). Umeå: Department of Biometry and Forest Management, Swedish University of Agricultural Sciences.
27. Walter, F. (1998). Remote-sensing for forestry planning (Report 9). Uppsala: Forestry Research Institute of Sweden. (In Swedish with English summary.)
28. Weisberg, S. (1985). Applied linear regression (2nd edn). New York: John Wiley & Sons.