Monitoring Annual Ecosystem Disturbance by Urbanization with Dense Landsat Time Series: a Case Study in the Pearl River Delta Region, China
文献类型：会议论文
| 作者 | Qingling Zhang; Xi Chen; Qiming Zhou; Jing Qian; Shuhong Peng |
| 出版日期 | 2016 |
| 会议名称 | The Fourth International Workshop on Earth Observation and Remote Sensing Applications |
| 会议地点 | 中国广州 |
| 英文摘要 | Urban expansion often causes significant disturbance to ecosystems surrounding cities, sometimes resulting in the removal of large amounts of biomass and in turn putting the human-nature systems at risk. High temporal frequency monitoring is critical to assessing land policy outcomes in addition to gaining an in-depth understanding of the size, type, and rate dynamics of urban areas. Landsat imagery has long been utilized to monitor urbanization and ecosystem change at regional and local scales. However, few studies use Landsat time series to monitor urbanization at higher temporal frequencies, especially for large area applications, mainly due to the lack of efficient algorithms and computation facilities to handle large data volume. Here we extract annual ecosystem disturbance information with Landsat time series and implement it on GEE for large area applications. We develop a compositing algorithm to generate annual Landsat cloud/shadow-free NDVI mosaics and then time series spanning 2000-2012. Changes due to the removal of large amounts of biomass can lead to sudden drop in NDVI values, which can be well captured by the constructed Landsat NDVI time series, considering the relatively small spatial scales of annual urban expansion. We apply this method in Shanghai, China, which has experienced rapid urbanization during the past few decades. Results show annual ecosystem disturbance caused by urbanization is well captured, with a change detection accuracy larger than 80%. Annual cropland (the dominant ecosystem in Shanghai) loss trend from our results is generally comparable to reports from the Statistic Yearbooks, but at faster rates in most years except for 2006 when a special policy implemented to relax the prime agricultural land protection requirement for Shanghai, which might have encouraged local officials to report a larger number. Our method is fast, simple and can be easily extended to large areas on the Google Earth Engine cloud-computing platform. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10301]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2016 |
| 推荐引用方式 GB/T 7714 | Qingling Zhang,Xi Chen,Qiming Zhou,et al. Monitoring Annual Ecosystem Disturbance by Urbanization with Dense Landsat Time Series: a Case Study in the Pearl River Delta Region, China[C]. 见:The Fourth International Workshop on Earth Observation and Remote Sensing Applications. 中国广州. |
入库方式： OAI收割
来源：深圳先进技术研究院
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