Urban Remote Sensing with Spatial Big Data: A Review and Renewed Perspective of Urban Studies in Recent Decades
文献类型：期刊论文
| 作者 | Yu, Danlin; Fang, Chuanglin1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-03-01 |
| 卷号 | 15期号:5页码:1307 |
| 关键词 | urban studies meta-analysis remote sensing spatial big data spatiotemporal data analytical strategies |
| DOI | 10.3390/rs15051307 |
| 文献子类 | Review |
| 英文摘要 | During the past decades, multiple remote sensing data sources, including nighttime light images, high spatial resolution multispectral satellite images, unmanned drone images, and hyperspectral images, among many others, have provided fresh opportunities to examine the dynamics of urban landscapes. In the meantime, the rapid development of telecommunications and mobile technology, alongside the emergence of online search engines and social media platforms with geotagging technology, has fundamentally changed how human activities and the urban landscape are recorded and depicted. The combination of these two types of data sources results in explosive and mind-blowing discoveries in contemporary urban studies, especially for the purposes of sustainable urban planning and development. Urban scholars are now equipped with abundant data to examine many theoretical arguments that often result from limited and indirect observations and less-than-ideal controlled experiments. For the first time, urban scholars can model, simulate, and predict changes in the urban landscape using real-time data to produce the most realistic results, providing invaluable information for urban planners and governments to aim for a sustainable and healthy urban future. This current study reviews the development, current status, and future trajectory of urban studies facilitated by the advancement of remote sensing and spatial big data analytical technologies. The review attempts to serve as a bridge between the growing big data and modern urban study communities. |
| WOS关键词 | ARTIFICIAL NEURAL-NETWORK ; SYSTEM DYNAMICS APPROACH ; LAND-USE ; HEAT-ISLAND ; IMPERVIOUS SURFACE ; COVER CHANGE ; CITY LIGHTS ; ENVIRONMENTAL-QUALITY ; CONCEPTUAL-FRAMEWORK ; COUPLED URBANIZATION |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000947283200001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200724]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Montclair State Univ, Dept Earth & Environm Studies, Montclair, NJ 07043 USA 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Ctr Urban & Reg Planning Design & Res, Beijing 100045, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yu, Danlin,Fang, Chuanglin. Urban Remote Sensing with Spatial Big Data: A Review and Renewed Perspective of Urban Studies in Recent Decades[J]. REMOTE SENSING,2023,15(5):1307. |
| APA | Yu, Danlin,&Fang, Chuanglin.(2023).Urban Remote Sensing with Spatial Big Data: A Review and Renewed Perspective of Urban Studies in Recent Decades.REMOTE SENSING,15(5),1307. |
| MLA | Yu, Danlin,et al."Urban Remote Sensing with Spatial Big Data: A Review and Renewed Perspective of Urban Studies in Recent Decades".REMOTE SENSING 15.5(2023):1307. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。