ESTIMATING IMPERVIOUS SURFACES OF GWADAR CITY BASED ON THE CHINESE MULTI-SOURCES REMOTE SENSING IMAGES
文献类型：会议论文
| 作者 | Jiaqi Zuo1,2; Jinhu Bian1 ; Ainong Li1; Guangbin Lei1; Zegen Wang2
|
| 出版日期 | 2018 |
| 会议日期 | 2018 |
| 会议地点 | Valencia, SPAIN |
| 关键词 | Impervious surface Change detection Time series Random Forest China-Pakistan Economic Corridor |
| 页码 | 2631-2634 |
| 国家 | SPAIN |
| 英文摘要 | As the flagship of the "Belt and Road", the development and construction of the "China-Pakistan Economic Corridor (CPEC)" are related to the common interests of the country along the line. Gwadar port, which lies at the end of the China-Pakistan Economic Corridor, is extremely important for the CPEC project. The impervious surface percentage (ISP) is an important indicator of urban development assessment and urban ecological environment evaluation. In this study, the ISP of the Gwadar city is estimated by using the Chinese high spatial resolution GF-1/2 images and fine spatial resolution HJ-1A/B images from 2009 to 2017. The growth magnitude of the ISP in Gwadar is then analyzed. Results reveal that the estimated ISP are highly reliable for detecting and characterizing change trends. The R-2 (Correlation coefficient-squared) of imitating and predicting by using Random Forest method are 0.96 and 0.76 respectively. The root mean square error (RMSE) of the estimating results are approximately 12.52%. The results indicate that there are two stages in Gwadar's impervious surface growth. First stage is that there is a period of rapid growth from 2009 to 2014. The construction of residences and roads cause the fast increase at a rate of 2.3% per year. The other stage begins with the development of the China-Pakistan Economic Corridor. The greatest growth is in the port area from 2014 to 2017, and the growth magnitude is 0.06% per year. |
| 源文献作者 | IEEE |
| 产权排序 | 1 |
| 会议录 | IEEE International Symposium on Geoscience and Remote Sensing IGARSS
 |
| 语种 | 英语 |
| ISSN号 | 2153-6996 |
| ISBN号 | 978-1-5386-7150-4 |
| WOS记录号 | WOS:000451039802182 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/24499]  |
| 专题 | 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
| 通讯作者 | Jinhu Bian |
| 作者单位 | 1.Institute of Mountain Hazard and Environment, Chinese Academy of Sciences, Chengdu 610041, China; 2.School of Civil Engineering and Architecture, Southwest Petroleum University, Chengdu 610500, China |
| 推荐引用方式 GB/T 7714 | Jiaqi Zuo,Jinhu Bian,Ainong Li,et al. ESTIMATING IMPERVIOUS SURFACES OF GWADAR CITY BASED ON THE CHINESE MULTI-SOURCES REMOTE SENSING IMAGES[C]. 见:. Valencia, SPAIN. 2018. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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