Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates

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LU, D.; CHEN, Q.; WANG, G.; MORAN, E.; BATISTELLA, M.; ZHANG, M.; LAURIN, G. V.; SAAH, D.;
(2012)
  • Publisher: Hindawi Publishing Corporation
  • Journal: International Journal of Forestry Research (issn: 1687-9368, eissn: 1687-9376)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.1155/2012/436537
  • Subject: SD1-669.5 | QH1-199.5 | General. Including nature conservation, geographical distribution | Biomassa | Forestry | Article Subject

Landsat Thematic mapper (TM) image has long been the dominate data source, and recently LiDAR has offered an important new structural data stream for forest biomass estimations. On the other hand, forest biomass uncertainty analysis research has only recently obtained s... View more
  • References (97)
    97 references, page 1 of 10

    Houghton, R. A., Hackler, J. L., Lawrence, K. T.. The U.S. carbon budget: contributions from land-use change. Science. 1999; 285 (5427): 574-578

    Achard, F., Eva, H. D., Mayaux, P., Stibig, H. J., Belward, A.. Improved estimates of net carbon emissions from land cover change in the tropics for the 1990s. Global Biogeochemical Cycles. 2004; 18 (2, article GB2008)-11

    Hese, S., Lucht, W., Schmullius, C., Barnsley, M., Dubayah, R., Knorr, D., Neumann, K., Riedel, T., Schröter, K.. Global biomass mapping for an improved understanding of the CO2 balance—the Earth observation mission Carbon-3D. Remote Sensing of Environment. 2005; 94 (1): 94-104

    Houghton, R. A.. Aboveground forest biomass and the global carbon balance. Global Change Biology. 2005; 11 (6): 945-958

    Lu, D.. The potential and challenge of remote sensing-based biomass estimation. International Journal of Remote Sensing. 2006; 27 (7): 1297-1328

    Muukkonen, P., Heiskanen, J.. Estimating biomass for boreal forests using ASTER satellite data combined with standwise forest inventory data. Remote Sensing of Environment. 2005; 99 (4): 434-447

    Blackard, J. A., Finco, M. V., Helmer, E. H., Holden, G. R., Hoppus, M. L., Jacobs, D. M., Lister, A. J., Moisen, G. G., Nelson, M. D., Riemann, R., Ruefenacht, B., Salajanu, D., Weyermann, D. L., Winterberger, K. C., Brandeis, T. J., Czaplewski, R. L., McRoberts, R. E., Patterson, P. L., Tymcio, R. P.. Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information. Remote Sensing of Environment. 2008; 112 (4): 1658-1677

    García, M., Riaño, D., Chuvieco, E., Danson, F. M.. Estimating biomass carbon stocks for a Mediterranean forest in central Spain using LiDAR height and intensity data. Remote Sensing of Environment. 2010; 114 (4): 816-830

    Powell, S. L., Cohen, W. B., Healey, S. P., Kennedy, R. E., Moisen, G. G., Pierce, K. B., Ohmann, J. L.. Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: a comparison of empirical modeling approaches. Remote Sensing of Environment. 2010; 114 (5): 1053-1068

    Chopping, M., Schaaf, C. B., Zhao, F., Wang, Z., Nolin, A. W., Moisen, G. G., Martonchik, J. V., Bull, M.. Forest structure and aboveground biomass in the southwestern United States from MODIS and MISR. Remote Sensing of Environment. 2011; 115 (11): 2943-2953

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