Automated recognition of tree species composition of forest communities using sentinel-2 satellite data

HIGHLIGHTS

  • who: Alika Polyakova and collaborators from the Institute of Environmental Sciences, Kazan Federal University, Tovarisheskaya Street, Kazan, Russia have published the paper: Automated Recognition of Tree Species Composition of Forest Communities Using Sentinel-2 Satellite Data, in the Journal: (JOURNAL) of 29/Oct/2020
  • what: This study analyzes the possibilities of tree species discrimination in coniferous-deciduous forests according to Sentinel-2 data two recognition methods: random (RF) and generative topographic mapping (GTM). When overfitting, the model tries to fit the training data exactly and ends up modeling noise/random fluctuations, defeating the modeling purpose . . .

     

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