Object-based random forest modelling of aboveground forest biomass outperforms a pixel-based approach in a heterogeneous and mountain tropical environment. 2019. Silveira, E.M.O., S. H..G. Silva, F.W. Acerbi-Júnior, M.C. Carvalho, L.M.T. Carvalho, J.R.S. Scolforo, Wulder, M.A. Int J Appl Earth Obs Geoinformation, 78, pp 175-188.
Pre-stratified modelling plus residuals kriging reduces the uncertainty of aboveground biomass estimation and spatial distribution in heterogeneous savannas and forest environments. 2019. Silveira, E.M.O, Espírito Santo, F.D., Wulder, M.A., Acerbi Júnior, F.W., Carvalho, M.C., Mello, C.R., Mello, J.M., Shimabukuro, Y.E., Carvalho, L.M.T., Scolforo, J.R.S. Forest Ecology and Management, 445, 96-109.
Catalog ID: 40045
Issued by: Pacific Forestry Centre
CFS Availability: PDF (request by e-mail)