2015
DOI: 10.3390/w7094869
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Impact Analysis of Lakefront Land Use Changes on Lake Area in Wuhan, China

Abstract: Wuhan, the central city in the middle reach of the Yangtze River of China, is famous for its lake resources. However, the city's lake area decreased by 37.4% from 1991 to 2005. This study aims to analyze the relationships between lake area reduction and lakefront land use changes in Wuhan. In this paper, the connections between the spatial changes of lake areal extent and land use changes in the lakefront were established with mathematical models such as Moran's I and spatial analysis models such as transition… Show more

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Cited by 19 publications
(28 citation statements)
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“…However, only two dates of satellite images were used in most change detection algorithms (J. Zhu, Zhang, and Tong 2015), qualitative analysis of the temporal effects of phenomenon are limited. Moreover, a unified category or single lake were often chosen to monitor in lots of publications (Zheng et al 2015;W.…”
Section: Introductionmentioning
confidence: 99%
“…However, only two dates of satellite images were used in most change detection algorithms (J. Zhu, Zhang, and Tong 2015), qualitative analysis of the temporal effects of phenomenon are limited. Moreover, a unified category or single lake were often chosen to monitor in lots of publications (Zheng et al 2015;W.…”
Section: Introductionmentioning
confidence: 99%
“…In contrast, in fragmented and highly urbanized areas, water is able to produce several positive amenities, such as preserving natural ecosystems [1], mitigating the impacts caused by human activity, such as air pollution and heat islands [2][3][4][5] and providing aesthetically pleasing open spaces and recreational sites [6][7][8]. However, in spite of these positive amenities, some researchers have specifically focused only on the aptitude of water to leverage the real estate market by influencing property values.…”
Section: Introductionmentioning
confidence: 99%
“…In particular, since the Landsat archive was opened to the public by the U.S. Geological Survey (USGS) in 2008 [12], Many studies have focused on water change detection, lake monitoring and lakefront land use classification using multi-temporal Landsat images [1,3,4,10,13]. For example, Michishita et al [14] examined the two decades of urbanization in the Poyang Lake area in China using a time-series Landsat-5 TM dataset, and performed a quantification and visualization of the changes in time-series urban land cover fractions through spectral unmixing.…”
Section: Introductionmentioning
confidence: 99%
“…W. Zhu et al [3] monitored the fluctuation of Qinghai Lake by estimating the variations of water volume based on MODIS (moderate resolution imaging spectroradiometer) and Landsat Thematic Mapper (TM)/Enhanced Thematic Mapper Plus (ETM+) images from 1999-2009. J. Zhu [1] quantitatively analyzed the impacts of lakefront land use changes on lake areas in Wuhan, based on two Landsat TM/ETM+ images taken in 1991 and 2005. Taravat et al [4] detected spatiotemporal changes of Lake Urmia (located in the northwest of Iran) during the period 1975-2015 using multi-temporal satellite altimetry and Landsat images, and several water classifiers were investigated for the extraction of surface water from Landsat data, e.g., the Normalized Difference Water Index-Principal Components Index (NDWI-PCs) [10], Normalized Difference Water Index (NDWI) [16], and the Automated Water Extraction Index (AWEI) [17].…”
Section: Introductionmentioning
confidence: 99%
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