Monitoring forest change in the amazon using multi-temporal remote sensing data and machine learning classification on google earth engine

HIGHLIGHTS

  • who: Maria Antonia Brovelli and collaborators from the Department of Civil and Environmental Engineering (DICA), Politecnico di Milano, General Troops Faculty, Vasil Levski National Military University, Veliko Tarnovo, Bulgaria have published the article: Monitoring Forest Change in the Amazon Using Multi-Temporal Remote Sensing Data and Machine Learning Classification on Google Earth Engine, in the Journal: (JOURNAL)
  • what: This work had the aim of mapping and monitoring the forest change from 2000 to 2019 and of simulating the future forest development of a rainforest region located in the ParĂ¡ state Brazil. In the current work . . .

     

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