Skógræktarritið - 15.05.2001, Side 157

Skógræktarritið - 15.05.2001, Side 157
References ANDERSON, G. L., HANSON, J. D. AND HAAS, R. H. 1993. Evaluating Landsat thematic mapper derived vegetation indices for estimating above-ground biomass on semi- arid rangelands. Remote Sensing of Environment, 45: 165-175. BROWN, S. L„ SCHROEDER, P. AND KERN, J. S. 1999. Spatial distribu- tion of biomass in forest of the eastern USA. Forest Ecology and Management, 123: 81-90. BYLUND, H. 1995. Long-term inter- action between the autumnal moth and mountain birch: the roles of resources, competitors, natural enemies, and weather. Doctoral thesis. Uppsala Univerity, Sweden. DAHLBERG, U„ BERGE, T. W„ PETERSSON, H. AND VENCATA- SAWMY, C. P. Modelling biomass and leaf-area index in a sub-arctic Scandinavian mountain area. MS. DAHLBERG, U„ BERGSTEDT, J. AND PETTERSSON, A. 1998. Fáltinstruk- tion för och erfarenheter frán vegetationsinventering i Abisko, sommaren 1997. Report32. Department of forest resource management and geomatics, Swedish university of agricultural sciences, Umeá, Sweden. FAZAKAS, Z„ NILSSON, M. AND OLS- SON, H. 1999. Regional forest bio- mass and wood volume estimation using satellite data and ancillary data. Agricultural and Forest Meteorology, Vol. 98-99: 417-425. GU, D. AND GILLESPIE, A. 1998. Topographic Normalization of Landsat TM Images of Forest Based on Subpixel Sun-Canopy- Sensor Geometry. Remote Sensing of Environment, 64: 166-175. GU, D„ GILLESPIE, A. R„ ADAMS, J. B. AND WEEKS, R. 1999. A statisti- cal approach for topographic cor- rection of satellite images by using spatial context information. ÍEEE Transactions on geoscience and remote sensing. 37: 236-246. HAGNER, O. 1990. Computer aided forest stand delineation and inventory based on satellite remote sensing. SNS/IUFRO work- shop, The Usability of Remote Sensing for Forest Inventory and Planning. Umeá, Sweden. ITTEN, K 1. AND MEYER, P. 1993. Geometric and Radiometric Cor- rection ofTM Data of Mountainous Forested Areas. IEEE Transactions on Geoscience and Remote Sensing, 31: 764-770. KOCH, B. 1996. Status and future prospects of remote sensing as a tool for forest mapping. In: Parlow, E. (ed.|, Progress in Environmental Remote Sensing Research and Applications. Balkema: 3-9. LILLESAND, T. M. AND KIEFER, R. W. 2000. Remote sensing and image interpretation. John Wiley and Sons, New York. PARLOW, E. 1996. Correction of ter- rain controlled illumination effects in satellite data. ln: Parlow, E. (ed.|, Progress in Environmental Remote Sensing and Applications. Balkema: 139-145. REESE, H. AND NILSSON, M. 1999. Using Landsat TM and NFI data to estimate wood volume, tree bio- mass and stand age in Dalarna. Report 53. Department of Forest Resource Management and Geo- matics, Swedish university of agri- cultural sciences, Umeá, Sweden. SALVADOR, R. AND PONS, X. 1998. On the reliability of Landsat TM for estimating forest variables by regression techniques: a method- ological analysis. 1EEE Trans- actions on Geoscience and Remote Sensing, 36: 1888-1897. STEININGER, M. K. 2000. Satellite estimation oftropical secondary forest above-ground biomass: data from Brazil and Bolivia. Inter- national Journal of Remote Sensing, 21: 1139-1158. TEILLET, P.M., GUINDON, B. AND GOODENOUGH, D. G. 1982. On the slope-aspect correction of multispectral scanner data. Canadian Journal of Remote Sensing., 8: 84-106. TIWARI, A. K. 1994. Mapping forest biomass through digital process- ing of IRS-1A data. International Journal of Remote Sensing, 15: 1849-1866. HEIflllRSÁSKRIFENDUR SKOGRÆKTARFELAGSSINS DALVÍK Daltré ehf Dalvíkurbyggð HÚSAVÍK Garðyrkjustjóri Húsavíkur Húsavíkurkaupstaður Pricewaterhouse Coopers ehf LAUGAR Laugafiskur hf REYKJAHLÍÐ Skútustaðahreppur ÞÓRSHÖFN Þórshafnarhreppur EGILSSTAÐIR Austur-Hérað Barri hf Búnaðarfélag Hlíðarhrepps Ferðaskrifstofa Austurlands ehf SKÓGRÆKTARRITIÐ 2001 l.tbl. 155
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