Mapping local climate zones in the urban environment: the optimal combination of data source and classifier

HIGHLIGHTS

  • who: Siying Cui and colleagues from the College of Urban and Environmental Science, Northwest University, Xi'an, China have published the Article: Mapping Local Climate Zones in the Urban Environment: The Optimal Combination of Data Source and Classifier, in the Journal: Sensors 2022, 6407 of 18/09/2020
  • what: Using Gaofen-6 and Sentinel-1/2 as data sources this study designed four schemes using convolutional neural network (CNN) and random forest (RF) classifiers respectively to demonstrate the potential of high-resolution images in LCZ and evaluate the optimal combination of different data sources and . . .

     

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