Predicting the forest canopy height from lidar and multi-sensor data using machine learning over india

HIGHLIGHTS

• who: Sujit M. Ghosh et al. from the Using Machine Learning over India Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, India have published the research: Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using Machine Learning over India, in the Journal: (JOURNAL)
• what: This study advocates the importance and use of for estimating the canopy height preferably in data-deficit mountainous regions where most of India`s natural forest vegetation exists. This study examined 31 predictor variables from multiple sources . The accuracies obtained in this study show a good . . .
  

   

  

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