Feature Importance Analysis for Local Climate Zone Classification Using a Residual Convolutional Neural Network with Multi-Source Datasets

Feature Importance Analysis for Local Climate Zone Classification Using a Residual Convolutional Neural Network with Multi-Source Datasets

Global Local Climate Zone (LCZ) maps, indicating urban structures and land use, are crucial for Urban Heat Island (UHI) studies and also as starting points to better understand the spatio-temporal dynamics of cities worldwide. However, reliable LCZ maps are not available on a global scale, hindering...

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Bibliographic Details
Main Authors: Chunping Qiu, Michael Schmitt, Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Remote Sensing
Subjects:
Local Climate Zones (LCZs)
Sentinel-2
Landsat-8
spectral reflectance
classification
Residual convolutional neural Network (ResNet)
Online Access:http://www.mdpi.com/2072-4292/10/10/1572

Internet

http://www.mdpi.com/2072-4292/10/10/1572

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