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National mapping and estimation of forest area by dominant tree species using Sentinel-2 data

  • Breidenbach, Johannes Norwegian Institute of Bioeconomy Research, 56624, National Forest Inventory, Høgskolevegen 8, Ås, Norway, 1431;
  • Waser, Lars T. Swiss Federal Research Institute (WSL), Landscape Dynamics, Zuercherstrasse 111, Birmensdorf, Switzerland, 8903;
  • Debella-Gilo, Misganu Norwegian Institute of Bioeconomy Research, 56624, Geomatics, As, Norway;
  • Schumacher, Johannes Norwegian Institute of Bioeconomy Research, 56624, National Forest Inventory, Ås, Norway;
  • Rahlf, Johannes Norwegian Institute of Bioeconomy Research, 56624, National Forest Inventory, Ås, Norway;
  • Hauglin, Marius Norwegian Institute of Bioeconomy Research, 56624, National Forest Inventory, Ås, Norway;
  • Puliti, Stefano Norwegian Institute of Bioeconomy Research, 56624, National Forest Inventory, Ås, Norway;
  • Astrup, Rasmus Norwegian Institute of Bioeconomy Research, høgskoleveien, Aas, Norway, 1430;
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  • 2020-8-19
Published in:
  • Canadian Journal of Forest Research. - Canadian Science Publishing. - 2020
Ecology
Forestry
Global and Planetary Change
English Nation-wide Sentinel-2 mosaics were used with National Forest Inventory (NFI) plot data for modelling and subsequent mapping of spruce-, pine- and deciduous-dominated forest in Norway at a 16m×16m resolution. The accuracies of the best model ranged between 74% for spruce and 87% for deciduous forest. An overall accuracy of 90% was found on stand level using independent data from more than 42,000 stands. Errors mostly resulting from a forest mask reduced the model accuracies by approximately 10%. The produced map was subsequently used to generate model-assisted (MA) and post stratified (PS) estimates of species-specific forest area. At the national level, efficiencies of the estimates increased by 20% to 50% for MA and up to 90% for PS. Greater minimum numbers of observations constrained the use of PS. For MA estimates of municipalities, efficiencies improved by up to a factor of 8 but were sometimes also less than 1. PS estimates were always equally as or more precise than direct and MA estimates but were applicable in fewer municipalities. The tree species prediction map is part of the Norwegian forest resource map and is used, among others, to improve maps of other variables of interest such as timber volume and biomass.
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  • English
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green
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https://sonar.ch/global/documents/28368
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