Issues and Challenges of Remote Sensing–Based Local Climate Zone Mapping for High-density Cities
Refereed conference paper presented and published in conference proceedings


其它資訊
摘要The local climate zone (LCZ) classification system provides a standard organizing principle for urban climate studies, such as urban heat island analysis, in which urban structures are classified into 17 standard LCZ classes according to urban land surface properties, such as land use and land coverage. Based on the standard definitions of the LCZ, freely available Landsat satellite data have been used to generate LCZ maps for cities worldwide. This research aims to evaluate the performance of the existing methods for high-density cities and to discuss the main issues, challenges, and possible solutions for further applications. Our experimental results indicate that three main factors, including training samples, input features, and the classifiers used, had a decisive effect on the final mapping result. In particular, low-quality training samples coupled with complex urban scenarios tended to yield low-quality LCZ mapping results. To improve the LCZ mapping results, some practical solutions and suggestions were given for future applications.
出版社接受日期10.02.2017
著者Yong Xu, Chao Ren, Meng Cai, Ran Wang
會議名稱Joint Urban Remote Sensing Event (JURSE 2017)
會議開始日06.03.2017
會議完結日08.03.2017
會議地點Dubai
會議國家/地區阿拉伯聯合酋長國
出版年份2017
語言美式英語

上次更新時間 2018-22-01 於 05:55