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Estimating Stand Volume and Above-Ground Biomass of Urban Forests Using LiDAR.

Vincenzo GiannicoRaffaele LafortezzaRanjeet JohnGiovanni SanesiLucia PesolaJiquan Chen
Published in: Remote. Sens. (2016)
Keyphrases
  • urban areas
  • random forests
  • random forest
  • rigid body
  • real time
  • lidar data
  • neural network
  • data mining
  • machine learning
  • decision trees
  • high resolution
  • remote sensing
  • volume data
  • socio economic
  • urban planning
  • urban land