Dynamic monitoring of dongting lake wetland using time-series MODIS imagery
文献类型：期刊论文
| 作者 | Chen, Yanfen1; Niu, Zhenguo1; Hu, Shengjie1; Zhang, Haiying1 |
| 刊名 | Shuili Xuebao/Journal of Hydraulic Engineering
 |
| 出版日期 | 2016 |
| 卷号 | 47期号:9页码:1093-1104 |
| 通讯作者 | Niu, Zhenguo (niuzg@radi.ac.cn) |
| 英文摘要 | The popular method of wetland mapping, which is usually based on single-date satellite imagery, cannot meet the requirements of wetlands monitoring because of the highly dynamic features of wetlands. Using multi-temporal or time series satellite imagery is a good choice to monitor wetlands at large scale, and time series MODIS products with highly temporal revisiting frequency have been employed in many cases of land use/land cover mapping. Different phonological characteristics of various land cover types laid a foundation for wetlands classification using time series MODIS Enhanced Vegetation Index (EVI)products. The standard phonological curves of various wetlands categories were developed firstly on the base of training samples selected from MODIS images and Google Earth. And then, Spectral Matching of Minimum Distance(SMMD)was employed by taking temporal EVI curve of each pixel as substitute of spectral curve to classify the time series MODIS images from 2001 to 2014 in the Dongting Lake. The results show that:(1)the overall classification accuracy and Kappa coefficient of the study area was 87.87% and 0.85 respectively in 2014, and the accuracy of the seasonal wetlands was 84.85%. The good performance of SMMD approach indicates that time series MODIS imagery can be used to monitor the dynamic characteristics of wetland ecosystem. (2)There is a declining trend for those natural wetlands in the Dongting Lake using 2001-2014 MODIS imageries, including waters, seasonal wetlands and permanent marshes. Among them, Permanent water decreased by 11%, permanent marshes by 22% and seasonal wetlands by 13%,while forest land increased continually by 29%. (3)The decreased amount of water input and altered date of drying and wetting in the Dongting Lake has affected the spatio-temporal landscape patterns of Dongting wetlands ecosystem, such as the shrinkage of permanent waters, spatial transformation of seasonal wetlands and increasing forest land, which undoubtedly will give rise to changes of wetlands functions and services. Those new phenomenon should be paid more attention in future to protect biodiversities and agriculture in this region. © 2016, China Water Power Press. All right reserved. |
| 收录类别 | EI |
| 语种 | 中文 |
| WOS记录号 | WOS:20164302945794 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39570]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. State Key Laboratory of Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 2.100101, China 3. The University of Chinese Academy of Sciences, Beijing 4.100049, China |
| 推荐引用方式 GB/T 7714 | Chen, Yanfen,Niu, Zhenguo,Hu, Shengjie,et al. Dynamic monitoring of dongting lake wetland using time-series MODIS imagery[J]. Shuili Xuebao/Journal of Hydraulic Engineering,2016,47(9):1093-1104. |
| APA | Chen, Yanfen,Niu, Zhenguo,Hu, Shengjie,&Zhang, Haiying.(2016).Dynamic monitoring of dongting lake wetland using time-series MODIS imagery.Shuili Xuebao/Journal of Hydraulic Engineering,47(9),1093-1104. |
| MLA | Chen, Yanfen,et al."Dynamic monitoring of dongting lake wetland using time-series MODIS imagery".Shuili Xuebao/Journal of Hydraulic Engineering 47.9(2016):1093-1104. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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