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massoniana. Journal of Fujian Forestry Science and Technology 34(2):32–35.
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2012. Estimation and uncertainty analysis of above-ground forest biomass with Landsat and
LiDAR data: Brief overview and case studies. International Journal of Forestry Research
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Remote Sensing 25:347–356.
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Journal of Remote Sensing 25:357–366.
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soft-classified maps at multiple resolutions. International Journal of Geographical Information Science 20(1):1–30.
Simic, A., Chen, J. M., Liu, J., and Acillag, F. 2004. Spatial scaling of net primary productivity
using subpixel information. Remote Sensing of Environment 93:246–258.
Wang, G., Grtner, G. Z., and Anderson, A. B. 2004a. Up-scaling methods based on variabilityweighted and simulation for inferring spatial information cross scales. International Journal
of Remote Sensing 25(22):4961–4979.
Wang, G., Grtner, G. Z., and Anderson, A. B. 2004b. Spatial variability based algorithms for
scaling up spatial data and uncertainties. IEEE Transactions on Geoscience and Remote
Sensing 42(9):2004–2015.
Wang, G., Grtner, G. Z., Howard, H. R., and Anderson, A. B. 2008. Optimal spatial resolution
for collection of ground data and multi-sensor image mapping of a soil erosion cover factor.
Journal of Environmental Management 88:1088–1098.
Wang, G., Oyana, T., Zhang, M., Adu-Prah, S., Zeng, S., Lin, H., and Se, J. 2009. Mapping and
spatial uncertainty analysis of forest vegetation carbon by combining national forest
inventory data and satellite images. Forest Ecology and Management 258(7):1275–1283.
Wang, G., Zhang, M., Gertner, G. Z., Oyana, T., McRoberts, R. E., and Ge, H. 2011.
Uncertainties of mapping forest carbon due to plot locations using national forest inventory
plot and remotely sensed data. Scandinavia Journal of Forest Research 26:360–373.
Wu, J. 1999. Hierarchy and scaling: Extrapolating information along a scaling ladder.
Canadian Journal of Remote Sensing 25:367–380.
124
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(Publishers) Ltd.
Hay, G. J., Niemann, K. O., and Goodenough, D. G. 1997. Spatial thresholds, image-objects,
and up-scaling: A multi-scale evaluation. Remote Sensing of Environment 62:1–19.
Hu, J. 2007. The study on the clone selection and assessment for the seed orchard of Pinus
massoniana. Journal of Fujian Forestry Science and Technology 34(2):32–35.
Jarvis, P. G. 1995. Scaling process and problems. Plant, Cell and Environment 18:1079–1089.
King, A. 1991. Translating models cross scales in the landscape. In M. G. Turner and R. H.
Gardner (Eds.) Quantitative Methods in Landscape Ecology. New York: Springer.
Lu, D., Chen, Q., Wang, G., Moran, E., Batistella, M., Zhang, M., Laurin, G. V., and Saah, D.
2012. Estimation and uncertainty analysis of above-ground forest biomass with Landsat and
LiDAR data: Brief overview and case studies. International Journal of Forestry Research
1:1–16.
Ma, Z., Liu, Q., Xu, W., Li, X., and Liu, Y. 2007. Carbon storage of artificial forest in
Qianyanzhou, Jiangxi Province. Scientia Silvae Sinicae 43(11):1–7.
Marceau, D. J. 1999. The scale issue in social and natural sciences. Canadian Journal of
Remote Sensing 25:347–356.
Marceau, D. J., and Hay, G. J. 1999. Remote sensing contributions to the scale issue. Canadian
Journal of Remote Sensing 25:357–366.
Moellering, H., and Tobler, W. 1972. Geographical variances. Geographical Analysis 4:34–64.
Openshaw, S., and Taylor, P. 1979. A million or so correlation coefficients: Three experiments
on the modifiable area unit problems. In N. Wrigley (Ed.) Statistical Applications in the
Spatial Science. London: Pion.
Pontius, Jr. R. G., and Cheuk. M. L. 2006. A generalized cross-tabulation matrix to compare
soft-classified maps at multiple resolutions. International Journal of Geographical Information Science 20(1):1–30.
Simic, A., Chen, J. M., Liu, J., and Acillag, F. 2004. Spatial scaling of net primary productivity
using subpixel information. Remote Sensing of Environment 93:246–258.
Wang, G., Grtner, G. Z., and Anderson, A. B. 2004a. Up-scaling methods based on variabilityweighted and simulation for inferring spatial information cross scales. International Journal
of Remote Sensing 25(22):4961–4979.
Wang, G., Grtner, G. Z., and Anderson, A. B. 2004b. Spatial variability based algorithms for
scaling up spatial data and uncertainties. IEEE Transactions on Geoscience and Remote
Sensing 42(9):2004–2015.
Wang, G., Grtner, G. Z., Howard, H. R., and Anderson, A. B. 2008. Optimal spatial resolution
for collection of ground data and multi-sensor image mapping of a soil erosion cover factor.
Journal of Environmental Management 88:1088–1098.
Wang, G., Oyana, T., Zhang, M., Adu-Prah, S., Zeng, S., Lin, H., and Se, J. 2009. Mapping and
spatial uncertainty analysis of forest vegetation carbon by combining national forest
inventory data and satellite images. Forest Ecology and Management 258(7):1275–1283.
Wang, G., Zhang, M., Gertner, G. Z., Oyana, T., McRoberts, R. E., and Ge, H. 2011.
Uncertainties of mapping forest carbon due to plot locations using national forest inventory
plot and remotely sensed data. Scandinavia Journal of Forest Research 26:360–373.
Wu, J. 1999. Hierarchy and scaling: Extrapolating information along a scaling ladder.
Canadian Journal of Remote Sensing 25:367–380.
124
UPSCALING WITH CONDITIONAL COSIMULATION FOR MAPPING