메뉴 건너뛰기




Volumn , Issue , 2012, Pages 71-78

Importance of vegetation type in forest cover estimation

Author keywords

[No Author keywords available]

Indexed keywords

ANTHROPOGENIC FACTORS; DATA CHARACTERISTICS; DATA SETS; ESTIMATION ALGORITHM; ESTIMATION TECHNIQUES; FOREST COVER; HIGH TEMPORAL FREQUENCY; INPUT DATAS; LOCAL SCALE; LONG LASTING; SATELLITE OBSERVATIONS; VEGETATION TYPE;

EID: 84872375778     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDU.2012.6382203     Document Type: Conference Paper
Times cited : (4)

References (22)
  • 1
    • 84872419312 scopus 로고    scopus 로고
    • Land Processes Distributed Active Archive Center. http://lpdaac.usgs.gov.
  • 2
    • 0037202447 scopus 로고    scopus 로고
    • Spatial prediction of species distribution: An interface between ecological theory and statistical modelling
    • M. Austin. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecological modelling, 157(2):101-118, 2002.
    • (2002) Ecological Modelling , vol.157 , Issue.2 , pp. 101-118
    • Austin, M.1
  • 3
    • 0034893326 scopus 로고    scopus 로고
    • A comparison of prediction methods for the creation of field-extent soil property maps
    • T. Bishop and A. McBratney. A comparison of prediction methods for the creation of field-extent soil property maps. Geoderma, 103(1):149-160, 2001.
    • (2001) Geoderma , vol.103 , Issue.1 , pp. 149-160
    • Bishop, T.1    McBratney, A.2
  • 4
    • 45849092625 scopus 로고    scopus 로고
    • Forests and climate change: Forcings, feedbacks, and the climate benefits of forests
    • G. B. Bonan. Forests and climate change: Forcings, feedbacks, and the climate benefits of forests. Science, 320(5882): 1444-1449, 2008.
    • (2008) Science , vol.320 , Issue.5882 , pp. 1444-1449
    • Bonan, G.B.1
  • 9
    • 77649342722 scopus 로고    scopus 로고
    • Monitoring forest areas from continental to territorial levels using a sample of medium spatial resolution satellite imagery
    • H. Eva, S. Carboni, F. Achard, et al. Monitoring forest areas from continental to territorial levels using a sample of medium spatial resolution satellite imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 65(2):191-197, 2010.
    • (2010) ISPRS Journal of Photogrammetry and Remote Sensing , vol.65 , Issue.2 , pp. 191-197
    • Eva, H.1    Carboni, S.2    Achard, F.3
  • 10
    • 84872379685 scopus 로고    scopus 로고
    • With deaths of forests, a loss of key climate protectors
    • October 1
    • J. Gillis. With deaths of forests, a loss of key climate protectors. The New York Times, October 1 2011.
    • (2011) The New York Times
    • Gillis, J.1
  • 11
    • 0344119314 scopus 로고    scopus 로고
    • Autologistic model of spatial pattern of phytophthora epidemic in bell pepper: Effects of soil variables on disease presence
    • M. Gumpertz, J. Graham, and J. Ristaino. Autologistic model of spatial pattern of phytophthora epidemic in bell pepper: effects of soil variables on disease presence. Journal of Agricultural, Biological, and Environmental Statistics, pages 131-156, 1997.
    • (1997) Journal of Agricultural, Biological, and Environmental Statistics , pp. 131-156
    • Gumpertz, M.1    Graham, J.2    Ristaino, J.3
  • 14
    • 0032895729 scopus 로고    scopus 로고
    • Spatial prediction of soil properties using environmental correlation
    • N. McKenzie and P. Ryan. Spatial prediction of soil properties using environmental correlation. Geoderma, 89(1):67-94, 1999.
    • (1999) Geoderma , vol.89 , Issue.1 , pp. 67-94
    • McKenzie, N.1    Ryan, P.2
  • 15
    • 0037202441 scopus 로고    scopus 로고
    • Modeling the distribution of four vegetation alliances using generalized linear models and classification trees with spatial dependence
    • J. Miller and J. Franklin. Modeling the distribution of four vegetation alliances using generalized linear models and classification trees with spatial dependence. Ecological Modelling, 157(2):227-247, 2002.
    • (2002) Ecological Modelling , vol.157 , Issue.2 , pp. 227-247
    • Miller, J.1    Franklin, J.2
  • 16
    • 33847632066 scopus 로고    scopus 로고
    • Incorporating spatial dependence in predictive vegetation models
    • J. Miller, J. Franklin, and R. Aspinall. Incorporating spatial dependence in predictive vegetation models. Ecological Modelling, 202(3):225-242, 2007.
    • (2007) Ecological Modelling , vol.202 , Issue.3 , pp. 225-242
    • Miller, J.1    Franklin, J.2    Aspinall, R.3
  • 20
    • 79955059318 scopus 로고    scopus 로고
    • Optimal use of land surface temperature data to detect changes in tropical forest cover
    • T. T. van Leeuwen, A. J. Frank, Y. Jin, et al. Optimal use of land surface temperature data to detect changes in tropical forest cover. Journal of Geophysical Research, 116, 2011.
    • (2011) Journal of Geophysical Research , vol.116
    • Van Leeuwen, T.T.1    Frank, A.J.2    Jin, Y.3
  • 21
    • 34147190307 scopus 로고    scopus 로고
    • Disease mapping and spatial regression with count data
    • J. Wakefield. Disease mapping and spatial regression with count data. Biostatistics, 8(2):158-183, 2007.
    • (2007) Biostatistics , vol.8 , Issue.2 , pp. 158-183
    • Wakefield, J.1
  • 22
    • 22144438387 scopus 로고    scopus 로고
    • Application of a geographically-weighted regression analysis to estimate net primary production of chinese forest ecosystems
    • Q. Wang, J. Ni, and J. Tenhunen. Application of a geographically-weighted regression analysis to estimate net primary production of chinese forest ecosystems. Global Ecology and Biogeography, 14(4):379-393, 2005.
    • (2005) Global Ecology and Biogeography , vol.14 , Issue.4 , pp. 379-393
    • Wang, Q.1    Ni, J.2    Tenhunen, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.