ASSESSMENT OF A RANDOM FOREST CLASSIFIER IN URBAN LOCAL CLIMATE ZONE CLASSIFICATION USING SENTINEL-2 AND PALSAR-2

Chaomin Chen, Hasi Bagan, Xuan Xie, Luwen Tan, Yoshiki Yamagata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study evaluated different input features for the local climate zone (LCZ) classification using a random forest (RF) classifier. The input features included spectral reflectance and textural features from Sentinel-2 multi-spectral imagery and polarimetric features from dual-polarized (HH+HV) PALSAR-2 data. The analysis of the feature importance for the RF classifier was measured by Gini and permutation importance. The analysis of the feature contributions to each LCZ class was performed by a feature contribution method based on decision paths in the RF. The results showed that the multi-spectral bands from Sentinel-2 imagery played a dominant role in LCZ classification, especially Band 12 (short-wave infrared-2). The contributions of the PALSAR-2 HV polarization band were higher in land cover LCZ types than in built LCZ types. The combined analysis of feature importance and contribution would provide a reference for the performance of RF classifiers in terms of LCZ mapping.

Original languageEnglish
Title of host publicationIGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6797-6800
Number of pages4
ISBN (Electronic)9781665403696
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium
Duration: 2021 Jul 122021 Jul 16

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2021-July

Conference

Conference2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Country/TerritoryBelgium
CityBrussels
Period21/7/1221/7/16

Keywords

  • Feature contribution
  • Feature importance
  • Local climate zone
  • Nanchang
  • Random forest

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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