@inproceedings{83c1ec6fdc5840a4a64cd24663284f4d,
title = "ASSESSMENT OF A RANDOM FOREST CLASSIFIER IN URBAN LOCAL CLIMATE ZONE CLASSIFICATION USING SENTINEL-2 AND PALSAR-2",
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.",
keywords = "Feature contribution, Feature importance, Local climate zone, Nanchang, Random forest",
author = "Chaomin Chen and Hasi Bagan and Xuan Xie and Luwen Tan and Yoshiki Yamagata",
note = "Funding Information: This work was supported by the National Natural Science Foundation of China (Grant No. 41771372). Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",
year = "2021",
doi = "10.1109/IGARSS47720.2021.9553260",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6797--6800",
booktitle = "IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",
}
