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Detecting Aquatic Vegetation Changes in Taihu Lake, China Using Multi-temporal Satellite Imagery

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 transparency-assisted decision tree was developed to more accurately divide the aquatic vegetation zone into a floating vegetation-dominated zone and a su...

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Detalles Bibliográficos
Autores principales: Ma, Ronghua, Duan, Hongtao, Gu, Xiaohong, Zhang, Shouxuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3924936/
https://www.ncbi.nlm.nih.gov/pubmed/27879919
http://dx.doi.org/10.3390/s8063988
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author Ma, Ronghua
Duan, Hongtao
Gu, Xiaohong
Zhang, Shouxuan
author_facet Ma, Ronghua
Duan, Hongtao
Gu, Xiaohong
Zhang, Shouxuan
author_sort Ma, Ronghua
collection PubMed
description 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 transparency-assisted 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 km(2) in 2001 to 364.1 km(2) 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.
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spelling pubmed-39249362014-02-18 Detecting Aquatic Vegetation Changes in Taihu Lake, China Using Multi-temporal Satellite Imagery Ma, Ronghua Duan, Hongtao Gu, Xiaohong Zhang, Shouxuan Sensors (Basel) Article 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 transparency-assisted 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 km(2) in 2001 to 364.1 km(2) 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. Molecular Diversity Preservation International (MDPI) 2008-06-25 /pmc/articles/PMC3924936/ /pubmed/27879919 http://dx.doi.org/10.3390/s8063988 Text en © 2008 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Ma, Ronghua
Duan, Hongtao
Gu, Xiaohong
Zhang, Shouxuan
Detecting Aquatic Vegetation Changes in Taihu Lake, China Using Multi-temporal Satellite Imagery
title Detecting Aquatic Vegetation Changes in Taihu Lake, China Using Multi-temporal Satellite Imagery
title_full Detecting Aquatic Vegetation Changes in Taihu Lake, China Using Multi-temporal Satellite Imagery
title_fullStr Detecting Aquatic Vegetation Changes in Taihu Lake, China Using Multi-temporal Satellite Imagery
title_full_unstemmed Detecting Aquatic Vegetation Changes in Taihu Lake, China Using Multi-temporal Satellite Imagery
title_short Detecting Aquatic Vegetation Changes in Taihu Lake, China Using Multi-temporal Satellite Imagery
title_sort detecting aquatic vegetation changes in taihu lake, china using multi-temporal satellite imagery
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3924936/
https://www.ncbi.nlm.nih.gov/pubmed/27879919
http://dx.doi.org/10.3390/s8063988
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