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Detecting Aquatic Vegetation Changes in Taihu Lake, China Using Multi-temporal Satellite Imagery
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, PO BOX 210008, China
* Author to whom correspondence should be addressed.
Received: 6 May 2008; Accepted: 19 June 2008 / Published: 25 June 2008
Abstract: We have measured the water quality and bio-optical parameters of 94 samples from Taihu Lake in situ and/or in the lab between June 10-18, 2007. A transparencyassisted decision tree was developed to more accurately divide the aquatic vegetation zone into a floating vegetation-dominated zone and a submerged vegetation-dominated zone, whose respective present biomass retrieval models were easily developed with an empirical approach because of the quasi-concurrence of ground field investigations with the satellite sensor flight over the lake. The significant quantitative relationships between the vegetation index NDVI (Normalized Difference Vegetation Index) of different images at different times were used to help develop the past biomass retrieval model on the basis of the present developed model. In Taihu Lake, the total covering area of aquatic vegetations decreased from 454.6 km2 in 2001 to 364.1 km2 in 2007. Correspondingly, the total biomass decreased from 489,000 tons in 2001 to 406,000 tons in 2007, suggesting that a great change in the ecological environment has been taking place in Taihu Lake over this period.
Keywords: Aquatic vegetation; Taihu Lake; Decision tree; Biomass; Remote sensing
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Cite This Article
MDPI and ACS Style
Ma, R.; Duan, H.; Gu, X.; Zhang, S. Detecting Aquatic Vegetation Changes in Taihu Lake, China Using Multi-temporal Satellite Imagery. Sensors 2008, 8, 3988-4005.
Ma R, Duan H, Gu X, Zhang S. Detecting Aquatic Vegetation Changes in Taihu Lake, China Using Multi-temporal Satellite Imagery. Sensors. 2008; 8(6):3988-4005.
Ma, Ronghua; Duan, Hongtao; Gu, Xiaohong; Zhang, Shouxuan. 2008. "Detecting Aquatic Vegetation Changes in Taihu Lake, China Using Multi-temporal Satellite Imagery." Sensors 8, no. 6: 3988-4005.