Dynamic monitoring of wetland cover changes using time-series remote sensing imagery
文献类型：期刊论文
| 作者 | Chen, Lifan1; Jin, Zhenyu1; Michishita, Ryo1; Cai, Jun2; Yue, Tianxiang3 ; Chen, Bin; Xu, Bing1,4,5,6
|
| 刊名 | ECOLOGICAL INFORMATICS
 |
| 出版日期 | 2014-11-01 |
| 卷号 | 24页码:17-26 |
| 关键词 | Time-series Ndvi Unsupervised Classification Decision Tree Wetland Cover Changes Timing Of Inundation |
| 文献子类 | Article |
| 英文摘要 | Time-series remote sensing data, such as Moderate Resolution Imaging Spectroradiometer (MODIS) data hold considerable promise for investigating long-term dynamics of land use/cover change (LUCC), given their significant advantages of frequent temporal coverage and free cost. However, because of the complex ecological environment of wetlands, the applicability of these data for studying temporal dynamics of wetland-related land-cover types is limited. This is especially so for the Poyang Lake, China's largest freshwater lake, which has active seasonal and inter-annual dynamics. The primary objective of this study is to investigate the suitability of MODIS 250-m maximum value composite (MVC) vegetation indexes (VIs) for dynamics monitoring of the Poyang Lake. We applied a time-series 16-day MODIS NDVI from 2000 to 2012 and developed a method to classify wetland cover types based on timing of inundation. We combined techniques of applying iterative self-organizing data analysis (ISODATA) with varying numbers of clusters and a transformed divergence (TD) statistic, to implement annual classification of smoothed time-series NDVI. In addition, we propose a decision tree based on features derived from NDVI profiles, to characterize phenological differences among clusters. Supported by randomly generated validation samples from TM images and daily water level records, we obtained a satisfactory accuracy assessment report. Classification results showed various change patterns for four dominant land cover types. Water area showed a non-significant declining trend with average annual change rate 33.25 km(2), indicating a drier Poyang lake, and emergent vegetation area had weak change over the past 13 years. Areas of submerged vegetation and mudflat expanded, with significant average annual change rate 23.51 km(2) for the former. The results suggest that MODIS' 250-m spatial resolution is appropriate and the classification method based on timing of inundation is useful for mapping general land cover patterns of Poyang Lake. (C) 2014 Elsevier B.V. All rights reserved. |
| WOS关键词 | POYANG LAKE REGION ; FLOOD FREQUENCY ; YANGTZE-RIVER ; MODIS DATA ; CHINA ; INDEX ; PHENOLOGY ; TRENDS |
| 语种 | 英语 |
| WOS记录号 | WOS:000345810000003 |
| 出版者 | ELSEVIER SCIENCE BV |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/68405]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xu, Bing |
| 作者单位 | 1.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China 2.Tsinghua Univ, Ctr Earth Syst Sci, Beijing 100084, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China 5.Univ Utah, Dept Geog, Salt Lake City, UT 84112 USA 6.Tsinghua Univ, Coll Environm, Beijing 100084, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Lifan,Jin, Zhenyu,Michishita, Ryo,et al. Dynamic monitoring of wetland cover changes using time-series remote sensing imagery[J]. ECOLOGICAL INFORMATICS,2014,24:17-26. |
| APA | Chen, Lifan.,Jin, Zhenyu.,Michishita, Ryo.,Cai, Jun.,Yue, Tianxiang.,...&Xu, Bing.(2014).Dynamic monitoring of wetland cover changes using time-series remote sensing imagery.ECOLOGICAL INFORMATICS,24,17-26. |
| MLA | Chen, Lifan,et al."Dynamic monitoring of wetland cover changes using time-series remote sensing imagery".ECOLOGICAL INFORMATICS 24(2014):17-26. |
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。