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Articles

Integrating multi-source data for a tropical forest inventory—a case study in the Kon Tum region, Vietnam

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References

  • Angelsen, A. (2008) How do we set the reference levels for REDD payments? Chapter 6. In: Angelsen, A. (ed.) Moving Ahead with REDD: Issues, Options and Implications. CIFOR, Bogor, Indonesia, pp. 53–63.
  • CGIAR-CSI (2012) SRTM 90m Digital Elevation Data. The CGIAR Consortium for Spatial Information (CGIAR-CSI). Accessed 14 June 2012. Available from http://srtm.csi.cgiar.org
  • Crecente-Campo, F., Tomé, M., Soares, P. and Diéguez-Aranda, U. (2010) A generalized nonlinear mixed-effects height–diameter model for Eucalyptus globulus L. in northwestern Spain. Forest Ecology and Management 259, 943–952. doi:10.1016/j.foreco.2009.11.036
  • Eerikäinen, K. (2009) A multivariate linear mixed-effects model for the generalization of sample tree heights and crown ratios in the Finnish National Forest Inventory. Forest Science 55, 480–493.
  • Eerikäinen, K., Mabvurira, D., Nshubemuki, L. and Saramäki, J. (2002) A calibrateable site index model for Pinus kesiya plantations in southeastern Africa. Canadian Journal of Forest Research 32, 1916–1928. doi:10.1139/x02-106
  • FAO (2007) Brief on National Forest Inventory NFI, Vietnam. MAR-SFM Working Paper 30/2007. The Food and Agriculture Organization of the United Nations (FAO), Forestry Department. Forest Resources Development Service, Rome.
  • FAO (2012a) FAO global map of ecological zones. The Food and Agriculture Organization of the United Nations (FAO). Accessed 10 October 2012. Available from http://www.fao.org/forestry/country/19971/en/vnm/
  • FAO (2012b) FAO representation in Vietnam: Projects. The Food and Agriculture Organization of the United Nations (FAO). Accessed 11 October 2012. Available from http://www.fao.org/asiapacific/vietnam/projects/en/
  • FAO (2012c) Open foris initiative. The Food and Agriculture Organization of the United Nations, FAO-Finland Forestry Programme. Accessed 15 October 2012. Available from http://km.fao.org/OFwiki/index.php/Main_Page
  • FIPI (1995) Forest Inventory and Planning Handbook. Forest Inventory and Planning Institute (FIPI), Hanoi Agricultural Publishing House, Hanoi (in Vietnamese).
  • Furrer, R., Nychka, D. and Sain, S. (2011) Package ‘Fields’ – Tools for Spatial Data. Reference Manual, Version 6.6.3. Accessed 21 February 2012. Available from http://cran.r-project.org/
  • GDAL (2012) GDAL – Geospatial Data Abstraction Library. Accessed 14 June 2012. Available from http://www.gdal.org/index.html
  • GOFC–GOLD (2011) A sourcebook of methods and procedures for monitoring and reporting anthropogenic greenhouse gas emissions and removals caused by deforestation, gains and losses of carbon stocks in forests remaining forests, and forestation. In: Achard, F., Brown, S., Brady, M., DeFries, R., Grassi, G., Herold, M., Mollicone, D., Pandey, D. and Souza Jr., C. (eds) GOFC–GOLD Report Version COP17-1. GOFC–GOLD Project Office, Natural Resources Canada, Alberta, Canada.
  • Haapanen, R. and Tuominen, S. (2008) Data combination and feature selection for multi-source forest inventory. Photogrammetric Engineering and Remote Sensing 74, 869–880. doi:10.14358/PERS.74.7.869
  • Hall, D.B. and Clutter, M. (2004) Multivariate multilevel nonlinear mixed effects models for timber yield predictions. Biometrics 60, 16–24. doi:10.1111/j.0006-341X.2004.00163.x
  • Henderson, C.R. (1975) Best linear unbiased estimation and prediction under a selection model. Biometrics 31, 423–447. doi:10.2307/2529430
  • Hou, Z., Xu, Q. and Tokola, T. (2011) Use of ALS, airborne CIR and ALOS AVNIR-2 data for estimating tropical forest attributes in Lao PDR. ISPRS Journal of Photogrammetry and Remote Sensing 66, 776–786. doi:10.1016/j.isprsjprs.2011.09.005
  • Hyvönen, P., Pekkarinen, A. and Tuominen, S. (2005) Segment-level stand inventory for forest management. Scandinavian Journal of Forest Research 20, 75–84. doi:10.1080/02827580510008220
  • Katila, M. and Tomppo, E. (2001) Selecting estimation parameters for the Finnish multisource national forest inventory. Remote Sensing of Environment 76, 16–32. doi:10.1016/S0034-4257(00)00188-7
  • Katila, M. and Tomppo, E. (2006) Sampling simulation on multi-source output forest maps – an application for small areas. In: Caetano, M. and Painho, M. (eds) Proceedings of 7th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, 5–7 July 2006, Lissabon, Portugal. Instituto Geogràfico Português, Lissabon, pp. 614–623.
  • Kilkki, P. and Päivinen, R. (1987) Reference sample plots to combine field measurements and satellite data in forest inventory. Department of Forest Mensuration and Management, University of Helsinki, Research Notes 19, 210–215.
  • Lappi, J. (1991) Calibration of height and volume equations with random parameters. Forest Science 37, 781–801.
  • Lappi, J. (1997) A longitudinal analysis of height/diameter curves. Forest Science 43, 555–570.
  • Lindstrom, M.J. and Bates, D.M. (1990) Nonlinear mixed effects models for repeated measures data. Biometrics 46, 673–687. doi:10.2307/2532087
  • Mäkelä, H. and Pekkarinen, A. (2001) Estimation of timber volume at the sample plot level by means of image segmentation and Landsat TM imagery. Remote Sensing of Environment 77, 66–75. doi:10.1016/S0034-4257(01)00194-8
  • Mäkelä, H. and Pekkarinen, A. (2004) Estimation of forest stand volumes by Landsat TM imagery and stand-level field inventory data. Forest Ecology and Management 196, 245–255. doi:10.1016/j.foreco.2004.02.049
  • Masek, J.G., Vermote, E.F., Saleous, N., Wolfe, R., Hall, F.G., Huemmrich, F., Gao, F., Kutler, J. and Lim, T.K. (2006) A Landsat surface reflectance dataset for North America, 1990–2000. IEEE Geoscience and Remote Sensing Letters 3, 68–72. doi:10.1109/LGRS.2005.857030
  • McRoberts, R.E. (2009) Diagnostic tools for nearest neighbors techniques when used with satellite imagery. Remote Sensing of Environment 113, 489–499. doi:10.1016/j.rse.2008.06.015
  • McRoberts, R.E. (2012) Estimating forest attribute parameters for small areas using nearest neighbors techniques. Forest Ecology and Management 272, 3–12. doi:10.1016/j.foreco.2011.06.039
  • Muinonen, E. and Tokola, T. (1990) An application of remote sensing for communal forest inventory. In: Proceedings from SNS/IUFRO Workshop in Umeå. 26–28 February 1990. Remote Sensing Laboratory, Swedish University of Agricultural Sciences, Umeå Report 4, pp. 35–42.
  • Muinonen, E., Parikka, H., Pokharel, Y.P., Shrestha, S.M. and Eerikäinen, K. (2012) Utilizing a multi-source forest inventory technique, MODIS data and Landsat TM images in the production of forest cover and volume maps for the Terai physiographic zone in Nepal. Remote Sensing 4, 3920–3947. doi:10.3390/rs4123920
  • Neteler, M. and Mitasova, H. (2008) Open Source GIS: A GRASS GIS Approach. 3rd edn. Springer, New York, 406 pp.
  • Nothdurft, A., Kublin, E. and Lappi, J. (2006) A non-linear hierarchical mixed model to describe tree height growth. European Journal of Forest Research 125, 281–289. doi:10.1007/s10342-006-0118-6
  • Packalén, P. and Maltamo, M. (2006) Predicting the plot volume by tree species using airborne laser scanning and aerial photographs. Forest Science 52, 611–622.
  • Packalén, P. and Maltamo, M. (2007) The k-MSN method for the prediction of species-specific stand attributes using airborne laser scanning and aerial photographs. Remote Sensing of Environment 109, 328–341. doi:10.1016/j.rse.2007.01.005
  • Parker, C., Mitchell, A., Trivedi, M., Mardas, N. and Sosis, K. (2009) The Little REDD+ Book. Global Canopy Programme, UK. Accessed 11 October. 2012. Available from http://www.theredddesk.org/redd_book
  • Pekkarinen, A. (2002) Image segment-based spectral features in the estimation of timber volume. Remote Sensing of Environment 82, 349–359. doi:10.1016/S0034-4257(02)00052-4
  • Pinheiro, J.C. and Bates, D.M. (2002) Mixed-Effects Models in S and S-PLUS. Corrected third printing. Springer-Verlag, New York, 528 pp.
  • R Development Core Team (2011) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0. Accessed 2 December 2011. Available from http://www.R-project.org/
  • REDD Desk (2011) REDD Countries: A Database of REDD Activities on the Ground. The Global Canopy Programme’s Internet Platform – The REDD Desk. Accessed 11 October 2012. Available from http://www.theredddesk.org/countries/vietnam/statistics
  • Tokola, T. (2000) The influence of field sample data location on growing stock volume estimation in Landsat TM-based forest inventory in eastern Finland. Remote Sensing of Environment 74, 422–431. doi:10.1016/S0034-4257(00)00135-8
  • Tokola, T., Pitkänen, J., Partinen, S. and Muinonen, E. (1996) Point accuracy of a non-parametric method in estimation of forest characteristics with different satellite materials. International Journal of Remote Sensing 17, 2333–2351. doi:10.1080/01431169608948776
  • Tomppo, E. (1990) Satellite image-based national forest inventory of Finland. The Photogrammetric Journal of Finland 12, 115–120.
  • Tomppo, E. (1992) Multi-source national forest inventory of Finland. In: Nyyssönen, A., Poso, S. and Rautala, J. (eds) Proceedings of Ilvessalo Symposium on National Forest Inventories. 17–21 August 1992, Finland. The Finnish Forest Research Institute Research Papers 444. pp. 52–60.
  • Tomppo, E. (1996) Multi-source national forest inventory of Finland. In: Päivinen, R., Vanclay, J. and Miina, S. (eds) New Thrusts in Forest Inventory, Proceedings of IUFRO XX World Congress, 6–12 August 1995. Tampere, Finland, pp. 27–41.
  • Tomppo, E. (2006) The Finnish multi-source national forest inventory – small area estimation and map production. In: Kangas, A. and Maltamo, M. (eds) Forest Inventory – Methodology and Applications. Springer, Netherlands, pp. 195–224.
  • Tomppo, E., Katila, M., Moilanen, J., Mäkelä, H. and Peräsaari, J. (1998) Kunnittaiset metsävaratiedot 1990–1994. Metsätieteen Aikakauskirja – Folia Forestalia 4B/1998, 619–839 (in Finnish).
  • Tomppo, E., Korhonen, K.T., Heikkinen, J. and Yli-Kojola, H. (2001) Multi-source inventory of the forests of the Hebei forestry bureau, Heilongjiang, China. Silva Fennica 35, 309–328.
  • Tomppo, E., Czaplewski, R.L. and Mäkisara, K. (2002) The role of remote sensing in global forest assessment. A remote sensing background paper for Kotka IV expert consultation 01.07-05.07. 2002, Kotka, Finland. FAO Forestry Department, Rome. Accessed 23 April 2013. Available from http://www.fao.org/docrep/006/ad650e/AD650E00.htm#TopOfPage
  • Tomppo, E., Haakana, M., Katila, M. and Peräsaari, J. (2008) Multi-Source National Forest Inventory – Methods and Applications. Managing Forest Ecosystems 18, Springer, New York, 374 pp.
  • Tomppo, E., Katila, M., Mäkisara, K., Peräsaari, J., Malimbwi, R., Chamuya, N., Otieno, J., Dalsgaard, S. and Leppänen, M. (2010) A Report to the Food and Agriculture Organization of the United Nations (FAO) in support of Sampling Study for National Forestry Resources Monitoring and Assessment (NAFORMA) in Tanzania. 10 March 2010. Accessed 17 October 2012. Available from http://www.mp-discussion.org/NAFORMA.pdf
  • Tuominen, S. and Pekkarinen, A. (2004) Local radiometric correction of digital aerial photographs for multi source forest inventory. Remote Sensing of Environment 89, 72–82. doi:10.1016/j.rse.2003.10.005
  • Tuominen, S., Eerikäinen, K., Schibalski, A., Haakana, M. and Lehtonen, A. (2010) Mapping biomass variables with a multi-source forest inventory technique. Silva Fennica 44, 109–119. doi:10.14214/sf.458
  • USGS (2012) MODIS Products Table. U.S. Geological Survey (USGS), Virginia, USA. Accessed 14 June 2012. Available from https://lpdaac.usgs.gov/products/modis_products_table
  • Vonesh, E.F. and Chinchilli, V.G. (1997) Linear and Nonlinear Models for the Analysis of Repeated Measurements. Chapman and Hall, London, 560 pp.
  • Wutzler, T., Wirth, C. and Schumacher, J. (2008) Generic biomass functions for common beech (Fagus sylvatica) in Central Europe: predictions and components of uncertainty. Canadian Journal of Forest Research 38, 1661–1675. doi:10.1139/X07-194
  • Yim, J.S., Kim, Y.H., Kim, S.H., Jeong, J.H. and Shin, M.Y. (2011) Comparison of the k-nearest neighbor technique with geographical calibration for estimating forest growing stock volume. Canadian Journal of Forest Research 41, 73–82. doi:10.1139/X10-132

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