Land Cover Change in Baiyangdian Wetland

Wang, Jing; Lu, Shanlong; Wu, Bingfang; Yan, Nana; Pei, Liang

doi:10.3724/sp.j.1047.2010.00292

Cited by 5 publications

(5 citation statements)

References 1 publication

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“…The road is long with a limited curvature and smaller changes in width. Generally, roads are continuous and cross with one another in a network [19].…”

Section: Principle and Methods Of Road Extrac-tionmentioning

confidence: 99%

The Automatic Extraction of Road Information by the Technology of Object-oriented

Wang¹,

Zhaokun²,

Fu³

et al. 2015

TOAUTOCJ

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Road information is rich in urban districts and mining areas. With the increase in spatial resolution and spectral resolution of remote sensing data, it is possible to extract information of narrow roads. However, the traditional manual extraction method using high-spatial-resolution data has shortcomings of low accuracy and low efficiency. Considering the features of SPOT-5 and Gaofen-1 data and the actual road situation of the study areas, the object-oriented method is used in this paper. The main advantage of this method is overcoming the limit of road extraction only using spectral information. A comparison with the results of the traditional supervised classification based on pixels proves that the objectoriented method improves the accuracy by 10% and provides better road information results. In addition, it is a more effective method to extract information for geographical condition monitoring.

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“…The road is long with a limited curvature and smaller changes in width. Generally, roads are continuous and cross with one another in a network [19].…”

Section: Principle and Methods Of Road Extrac-tionmentioning

confidence: 99%

The Automatic Extraction of Road Information by the Technology of Object-oriented

Wang¹,

Zhaokun²,

Fu³

et al. 2015

TOAUTOCJ

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show abstract

“…Since many of the common shapes can be decomposed into triangular, circular or oval, there are many features of other shapes satisfy formula (5). For example, the hexagonal feature in Figure 3.…”

Section: Areal Ground Feature With More General Shapementioning

confidence: 99%

“…For the above three areal ground features of different shapes, the estimations from high resolution image and low resolution satisfy formula (5). Parameters a and b differ with geometry of the object.…”

Section: Areal Ground Feature With More General Shapementioning

confidence: 99%

“…According to the spatial resolution, remote sensing images can be roughly divided into two categories: the high resolution images such as Landsat TM/ETM+, ASTER and SPOT [3][4][5]; and the low resolution images such as MODIS and NOAA/AVHRR [6][7][8][9]. The high resolution images can obtain the lake information accurately, but their temporal resolution is relatively low.…”

Section: Introductionmentioning

confidence: 99%

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Lake Surface Area Estimation Method based on Error Mechanism Model for Satellite Imagery and Its Application in Ebinur Lake

Ru¹,

Zhao²,

Xiong³

2015

IJSIP

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“…Currently, researchers have conducted many studies regarding the landscape pattern of Baiyangdian Lake. Some authors have directly analyzed the land cover change and tried to reveal the interaction between land cover change and human activities [ 23 , 24 ]. Others have analyzed the dynamic changes in the landscape pattern of wetland types, and reported the influence of climate, hydrology, economy, society, and policy on the landscape pattern [ 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ].…”

Section: Introductionmentioning

confidence: 99%

Landscape Pattern Evolution Processes of Wetlands and Their Driving Factors in the Xiong’an New Area of China

Yang

Gong

Zhao

et al. 2021

IJERPH

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Wetland landscape patterns are the result of various ecological and hydrological processes. Based on the land use landscape types from 1980 to 2017, a transfer matrix, landscape pattern analysis index, and principal component analysis were used to analyze the landscape pattern evolution in the Xiong’an New Area of China, which has a large area with a lake and river wetlands. The results showed that the wetland area has changed greatly since 2000 and the beach land has decreased greatly, while the area of the lake and river wetlands has increased slightly. Beach land was the dominant landscape type of the wetland. The dominant degree of the wetland landscape showed a slightly decreasing trend, and the patches tended to be scattered. The shape complexity of the ponds was the lowest, while that of rivers was the highest. The fragmentation degree of the wetland patches increased, the proportion of landscape types tended to be equalized, and the landscape heterogeneity increased. The leading factors of the wetland landscape change can be summarized as socioeconomic, meteorological, and hydrological processes, with a cumulative contribution rate of 85.3%, among which socioeconomic development was the most important factor. The results have important guiding significance for the ecological restoration and management of wetlands in the Xiong’an New Area and other wetland ecosystems with rivers and lakes.

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Land Cover Change in Baiyangdian Wetland

Cited by 5 publications

References 1 publication

The Automatic Extraction of Road Information by the Technology of Object-oriented

The Automatic Extraction of Road Information by the Technology of Object-oriented

Lake Surface Area Estimation Method based on Error Mechanism Model for Satellite Imagery and Its Application in Ebinur Lake

Landscape Pattern Evolution Processes of Wetlands and Their Driving Factors in the Xiong’an New Area of China

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