Paper
9 December 2015 Dynamic monitoring of Poyang Lake water body area using MODIS images between 2000 and 2014
Yayong Sun, Shifeng Huang, Jiren Li, Xiaotao Li, Jianwei Ma, Shanyang Li, Hui Wang
Author Affiliations +
Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 98081S (2015) https://doi.org/10.1117/12.2209293
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China
Abstract
Poyang Lake, the largest freshwater lake of China, is well known for its ecological and economic importance as a dynamic wetland system. But, influenced by the climate change and human activity, Poyang Lake wetland has changed a lot. The long time series of Terra/MODIS data between 2000 and 2014 were utilized to investigate the variation of Poyang Lake and to analyze Poyang lake response to variation of local precipitation with the meteorological data. The results showed: (1) Poyang Lake water body area showed a significant seasonal variation, minimum value was about 690 km2 and maximum value reached 3500 km2, and inter-annual fluctuation; (2)For the past 15 year , local precipitation directly affected the inundation changes. In particular, the impact of rainfall during the first half of the year is more significant (the relation coefficient with R2 of 0.61); (3) Taking into account humid activities, the impoundment of the Three Gorges dam (TGD) had a certain impact on Poyang Lake water body area, especially the persistent reduction of Poyang lake surface area in November was deteriorated by the impounding of TGD in October after 2006. Finally, the study provides a theoretical basis and data for changes in Poyang Lake wetland research and protection.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yayong Sun, Shifeng Huang, Jiren Li, Xiaotao Li, Jianwei Ma, Shanyang Li, and Hui Wang "Dynamic monitoring of Poyang Lake water body area using MODIS images between 2000 and 2014", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98081S (9 December 2015); https://doi.org/10.1117/12.2209293
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Cited by 2 scholarly publications.
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KEYWORDS
MODIS

Floods

Meteorology

Remote sensing

Climate change

Image segmentation

Reflectivity

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