Dynamic monitoring of wetland cover changes using time-series remote sensing imagery
Chen, Lifan1; Jin, Zhenyu1; Michishita, Ryo1; Cai, Jun2; Yue, Tianxiang3; Chen, Bin; Xu, Bing1,4,5,6
AbstractTime-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.
KeywordTime-series Ndvi Unsupervised Classification Decision Tree Wetland Cover Changes Timing Of Inundation
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS Subject ExtendedEnvironmental Sciences & Ecology
Indexed BySCI
WOS SubjectEcology
WOS IDWOS:000345810000003
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Cited Times:46[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorXu, Bing
Affiliation1.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
Recommended Citation
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.
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