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Identification of land-cover characteristics using MODIS time series data: an application in the Yangtze river estuary.

Zhang MQ, Guo HQ, Xie X, Zhang TT, Ouyang ZT, Zhao B - PLoS ONE (2013)

Bottom Line: However, these methods often have a mathematical basis, and more effort is required to better illustrate the ecological meanings of land-cover characteristics.Improvement was also made in parameter extraction, inspired by a method used for determining the hyperspectral red edge position.Five land-cover types were chosen to represent various ecosystem growth patterns and MODIS time series data were adopted for analysis.

View Article: PubMed Central - PubMed

Affiliation: Coastal Ecosystems Research Station of the Yangtze River Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, Fudan University, Shanghai, PR China.

ABSTRACT
Land-cover characteristics have been considered in many ecological studies. Methods to identify these characteristics by using remotely sensed time series data have previously been proposed. However, these methods often have a mathematical basis, and more effort is required to better illustrate the ecological meanings of land-cover characteristics. In this study, a method for identifying these characteristics was proposed from the ecological perspective of sustained vegetation growth trend. Improvement was also made in parameter extraction, inspired by a method used for determining the hyperspectral red edge position. Five land-cover types were chosen to represent various ecosystem growth patterns and MODIS time series data were adopted for analysis. The results show that the extracted parameters can reflect ecosystem growth patterns and portray ecosystem traits such as vegetation growth strategy and ecosystem growth situations.

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Location of the study area.
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pone-0070079-g001: Location of the study area.

Mentions: This study was conducted on the Chongming Island and the Changxing Island, two alluvial islands in the mouth of the Yangtze River, China (121°10′49″ –121°59′10″E, 31°17′4″ –31°54′20″N, Fig. 1). The area is subject to the northern subtropical monsoon climate, with an average annual temperature of 15.3°C and a total annual precipitation around of 1000 mm. Several large land reclamations have taken place since 1960s, the reclaimed areas are much larger than ordinary farmland and neighboring areas are often under the same land management schemes. Diverse land use and a relatively large reclamation area make the study area suitable for identifying land-cover characteristics with remote sensing data.


Identification of land-cover characteristics using MODIS time series data: an application in the Yangtze river estuary.

Zhang MQ, Guo HQ, Xie X, Zhang TT, Ouyang ZT, Zhao B - PLoS ONE (2013)

Location of the study area.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3722099&req=5

pone-0070079-g001: Location of the study area.
Mentions: This study was conducted on the Chongming Island and the Changxing Island, two alluvial islands in the mouth of the Yangtze River, China (121°10′49″ –121°59′10″E, 31°17′4″ –31°54′20″N, Fig. 1). The area is subject to the northern subtropical monsoon climate, with an average annual temperature of 15.3°C and a total annual precipitation around of 1000 mm. Several large land reclamations have taken place since 1960s, the reclaimed areas are much larger than ordinary farmland and neighboring areas are often under the same land management schemes. Diverse land use and a relatively large reclamation area make the study area suitable for identifying land-cover characteristics with remote sensing data.

Bottom Line: However, these methods often have a mathematical basis, and more effort is required to better illustrate the ecological meanings of land-cover characteristics.Improvement was also made in parameter extraction, inspired by a method used for determining the hyperspectral red edge position.Five land-cover types were chosen to represent various ecosystem growth patterns and MODIS time series data were adopted for analysis.

View Article: PubMed Central - PubMed

Affiliation: Coastal Ecosystems Research Station of the Yangtze River Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, Fudan University, Shanghai, PR China.

ABSTRACT
Land-cover characteristics have been considered in many ecological studies. Methods to identify these characteristics by using remotely sensed time series data have previously been proposed. However, these methods often have a mathematical basis, and more effort is required to better illustrate the ecological meanings of land-cover characteristics. In this study, a method for identifying these characteristics was proposed from the ecological perspective of sustained vegetation growth trend. Improvement was also made in parameter extraction, inspired by a method used for determining the hyperspectral red edge position. Five land-cover types were chosen to represent various ecosystem growth patterns and MODIS time series data were adopted for analysis. The results show that the extracted parameters can reflect ecosystem growth patterns and portray ecosystem traits such as vegetation growth strategy and ecosystem growth situations.

Show MeSH
Related in: MedlinePlus