메뉴 건너뛰기




Volumn 41, Issue 1, 2007, Pages 89-103

Possibilities to aggregate raster cells through spatial optimization in forest planning

Author keywords

Landscape metrics; Old forest; Spatial optimisation; Threshold accepting

Indexed keywords

ECOLOGY; FORESTRY; HARVESTING; OPTIMIZATION;

EID: 34247475765     PISSN: 00375330     EISSN: None     Source Type: Journal    
DOI: 10.14214/sf.474     Document Type: Article
Times cited : (38)

References (23)
  • 1
    • 0036071226 scopus 로고    scopus 로고
    • Eight heuristic planning techniques applied to three increasingly difficult wildlife planning problems
    • Bettinger, P., Graetz, D., Boston, K., Sessions, J. & Chung, W. 2002. Eight heuristic planning techniques applied to three increasingly difficult wildlife planning problems. Silva Fennica 36(2): 561-584.
    • (2002) Silva Fennica , vol.36 , Issue.2 , pp. 561-584
    • Bettinger, P.1    Graetz, D.2    Boston, K.3    Sessions, J.4    Chung, W.5
  • 2
    • 84937408573 scopus 로고    scopus 로고
    • Smoothing and compression of lines obtained by raster-to-vector conversion
    • Springer
    • Bodansky, E., Gribov, A. & Pilouk, M. 2002. Smoothing and compression of lines obtained by raster-to-vector conversion. Lecture notes in computer science. Springer 2390: 256-265.
    • (2002) Lecture notes in computer science , vol.2390 , pp. 256-265
    • Bodansky, E.1    Gribov, A.2    Pilouk, M.3
  • 3
    • 34247477490 scopus 로고    scopus 로고
    • Borges, J.G., Hoganson, H.M. & Falcão, A.O. 2002. Heuristics in multi-objective forest management. In: Pukkala, T. (ed.). Multi-objective forest planning. Managing Forest Ecosystems, 6. Kluwer Academic Publishers, Dordrecht, Netherlands. p. 119-152.
    • Borges, J.G., Hoganson, H.M. & Falcão, A.O. 2002. Heuristics in multi-objective forest management. In: Pukkala, T. (ed.). Multi-objective forest planning. Managing Forest Ecosystems, Vol. 6. Kluwer Academic Publishers, Dordrecht, Netherlands. p. 119-152.
  • 4
    • 25144482720 scopus 로고
    • Threshold accepting: A general purpose optimization algorithm appearing superior to simulated annealing
    • Dueck, G. & Scheuer, T. 1990. Threshold accepting: a general purpose optimization algorithm appearing superior to simulated annealing. Journal of Computer Physics 90: 161-175.
    • (1990) Journal of Computer Physics , vol.90 , pp. 161-175
    • Dueck, G.1    Scheuer, T.2
  • 5
    • 34247493575 scopus 로고    scopus 로고
    • Integrating fire risk considerations in forest management planning in Spain - a landscape level perspective
    • In press
    • González, J.R., Palahí, M. & Pukkala, T. 2006. Integrating fire risk considerations in forest management planning in Spain - a landscape level perspective. Landscape Ecology. (In press).
    • (2006) Landscape Ecology
    • González, J.R.1    Palahí, M.2    Pukkala, T.3
  • 6
    • 1942472178 scopus 로고    scopus 로고
    • Comparing simulation methods for modelling the errors of compartment inventory data
    • Haara, A. 2003. Comparing simulation methods for modelling the errors of compartment inventory data. Silva Fennica 37(4): 477-491.
    • (2003) Silva Fennica , vol.37 , Issue.4 , pp. 477-491
    • Haara, A.1
  • 7
    • 0030776285 scopus 로고    scopus 로고
    • Applying objectively estimated and spatially continuous forest parameters in tactical planning to obtain dynamic treatment units
    • Holmgren, P. & Thuresson, T. 1997. Applying objectively estimated and spatially continuous forest parameters in tactical planning to obtain dynamic treatment units. Forest Science 43(3): 317-326.
    • (1997) Forest Science , vol.43 , Issue.3 , pp. 317-326
    • Holmgren, P.1    Thuresson, T.2
  • 10
    • 0036679830 scopus 로고    scopus 로고
    • The performance of alternative spatial objective types in forest planning calculations: A case for flying squirrel and moose
    • Kurttila, M., Pukkala, T. & Loikkanen, J. 2002. The performance of alternative spatial objective types in forest planning calculations: a case for flying squirrel and moose. Forest Ecology and Management 166: 245-260.
    • (2002) Forest Ecology and Management , vol.166 , pp. 245-260
    • Kurttila, M.1    Pukkala, T.2    Loikkanen, J.3
  • 12
    • 0034194861 scopus 로고    scopus 로고
    • Formation of harvest units with genetic algorithms
    • Lu, F. & Eriksson, L.O. 2000. Formation of harvest units with genetic algorithms. Forest Ecology and Management 130: 57-67.
    • (2000) Forest Ecology and Management , vol.130 , pp. 57-67
    • Lu, F.1    Eriksson, L.O.2
  • 14
    • 85041150778 scopus 로고
    • FRAGSTATS: Spatial pattern analysis program for quantifying landscape structure. USDA Forest Service, Pacific Northwest Research Station, Portland, OR
    • PNW-351
    • McGarigal, K. & Marks, B.J. 1995. FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. USDA Forest Service, Pacific Northwest Research Station, Portland, OR. General Technical Report PNW-351.
    • (1995) General Technical Report
    • McGarigal, K.1    Marks, B.J.2
  • 15
    • 0036218720 scopus 로고    scopus 로고
    • Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data
    • 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.
    • (2002) Remote Sensing of Environment , vol.80 , pp. 88-99
    • Næsset, E.1
  • 17
    • 34247533585 scopus 로고    scopus 로고
    • Forest planning with consideration to spatial relationships. Doctoral diss. Department. of Forest Resource Management and Geomatics, SLU
    • 32 p
    • Öhman, K. 2001. Forest planning with consideration to spatial relationships. Doctoral diss. Department. of Forest Resource Management and Geomatics, SLU. Acta Universitatis agriculturae Sueciae, Silvestria 198. 32 p.
    • (2001) Acta Universitatis agriculturae Sueciae, Silvestria , vol.198
    • Öhman, K.1
  • 19
    • 0027330629 scopus 로고
    • A heuristic optimization method for forest planning and decision making
    • _ & Kangas, J. 1993. A heuristic optimization method for forest planning and decision making. Scandinavian Journal of Forest Research 8: 560-570.
    • (1993) Scandinavian Journal of Forest Research , vol.8 , pp. 560-570
    • Pukkala, T.1    Kangas, J.2
  • 20
    • 33745175505 scopus 로고    scopus 로고
    • Optimizing heuristic search in forest planning. Journal of Nonlinear Analysis Series B: Real World Applications
    • In press
    • _ & Heinonen, T. 2006. Optimizing heuristic search in forest planning. Journal of Nonlinear Analysis Series B: Real World Applications. (In press).
    • (2006)
    • Pukkala, T.1    Kangas, J.2    Heinonen, T.3
  • 21
    • 0036705739 scopus 로고    scopus 로고
    • Optimizing land use in afforestation areas using evolutionary self-organization
    • Strange, N., Meilby, H. & Thorsen, J.T. 2002. Optimizing land use in afforestation areas using evolutionary self-organization. Forest Science 48(3): 543-555.
    • (2002) Forest Science , vol.48 , Issue.3 , pp. 543-555
    • Strange, N.1    Meilby, H.2    Thorsen, J.T.3
  • 22
    • 29844441891 scopus 로고    scopus 로고
    • Landsat TM imagery and high altitude aerial photographs in estimation of forest characteristics
    • Tuominen, S. & Haakana, M. 2005. Landsat TM imagery and high altitude aerial photographs in estimation of forest characteristics. Silva Fennica 39(4): 573-584.
    • (2005) Silva Fennica , vol.39 , Issue.4 , pp. 573-584
    • Tuominen, S.1    Haakana, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.