气候变化领域集成服务门户(CCPortal): Global urban expansion from 1992 to 2016

CCPortal

DOI	https://doi.org/10.1594/PANGAEA.892684
	Global urban expansion from 1992 to 2016
	He; Chunyang; Liu; Zhifeng
发布日期	2018-07-27
数据集类型	dataset
英文简介	The effective detection of global urban expansion is the basis of understanding urban sustainability. We propose a fully convolutional network (FCN) and employ it to detect global urban expansion from 1992–2016. We found that the global urban land area increased from 274.7 thousand km2–621.1 thousand km2, which is an increase of 346.4 thousand km2 and a growth by 1.3 times. The results display a relatively high accuracy with an average kappa index of 0.5, which is 0.3 higher than those of existing global urban expansion datasets. Three major advantages of the proposed FCN contribute to the improved accuracy, including the integration of multi-source remotely sensed data, the combination of features at multiple scales, and the ability to address the lack of training samples for historical urban land. Thus, the proposed FCN has great potential to effectively detect global urban expansion.
语种	英语
国家	国际
学科大类	气候变化
学科子类	气候变化
文献类型	数据集
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/216123
推荐引用方式 GB/T 7714	He,Chunyang,Liu,et al. Global urban expansion from 1992 to 2016.2018-07-27.https://doi.org/10.1594/PANGAEA.892684.