Monitoring two decades of urbanization in the Poyang Lake area, China through spectral unmixing

Michishita, Ryo; Jiang, Zhi‐Qiang; Xu, Bing

doi:10.1016/j.rse.2011.06.021

Cited by 124 publications

(93 citation statements)

References 39 publications

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“…Taxonomy of most important impervious surface change detection techniques Michishita et al (2012), Sexton et al(2013), SuarezRubio et al (2012), Gao et al (2012) Per pixel level comparison…”

Section: Tablementioning

confidence: 99%

“…Yang et al, 2003;Yang and Liu, 2005) and quantification of such changes have not been successfully addressed. In particular, there is no standard model for quantifying impervious surface change using more than two ISF data sets, so there is a requirement to develop methods that can exploit time series images to generate a single informative and intelligent map of evolution of impervious surfaces over time (Michishita et al, 2012).…”

Section: More Than Two Imagesmentioning

confidence: 99%

“…However, few studies have investigated the expansion and redensification of these surfaces (e.g. Rashed, 2008;Michishita et al,2012;Saxton et al, 2013).…”

Section: 1a Framework For Remote Sensing Of Impervious Surface Growthmentioning

confidence: 99%

“…Thus it is more suitable when dealing with the mixed pixel problem in urban regions (Powell et al, 2007). This technique has been evaluated in a number of urban studies and has yielded promising results (Rashed et al, 2003;Rashed, 2008;Michishita et al, 2012). The software for MESMA (a plug-in software under ITT ENVI) is freely available via the VIPER TOOL website .…”

Section: Mesmamentioning

confidence: 99%

“…The software for MESMA (a plug-in software under ITT ENVI) is freely available via the VIPER TOOL website . The MESMA approach was conducted based on the guidelines from previous studies (Rashed, 2008;Michishita et al, 2012;Shahtahmassebi et al, 2014) and consisted of the following steps: (1) Endmember selection; (2) Developing a spectral library; and (3)Un-mixing. These are each detailed in turn.…”

Section: Mesmamentioning

confidence: 99%

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Remote sensing of impervious surface growth: A framework for quantifying urban expansion and re-densification mechanisms

Shahtahmassebi

Song

Zheng

et al. 2016

International Journal of Applied Earth Observation and Geoinfor

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A substantial body of literature has accumulated on the topic of using remotely sensed data to map impervious surfaces which are widely recognized as an important indicator of urbanization. However, the remote sensing of impervious surface growth has not been successfully addressed. This study proposes a new framework for deriving and summarizing urban expansion and re-densification using time series of impervious surface fractions (ISFs) derived from remotely sensed imagery. This approach integrates multiple endmember spectral mixture analysis (MESMA), analysis of regression residuals, spatial statistics (Getis_Ord) and urban growth theories; hence, the framework is abbreviated as MRGU. The performance of MRGU was compared with commonly used change detection techniques in order to evaluate the effectiveness of the approach. The results suggested that the ISF regression residuals were optimal for detecting impervious surface changes while Getis_Ord was effective for mapping hotspot regions in the regression residuals image. Moreover, the MRGU outputs agreed with the mechanisms proposed in several existing urban growth theories, but importantly the outputs enable the refinement of such models by explicitly accounting for the spatial distribution of both expansion and re-densification mechanisms.Based on Landsat data, the MRGU is somewhat restricted in its ability to measure re-densification in the urban core but this may be improved through the use of higher spatial resolution satellite imagery. The paper ends with an assessment of the present gaps in remote sensing of impervious surface growth and suggests some solutions. The application of impervious surface fractions in urban change detection is a stimulating new research idea which is driving future research with new models and algorithms.

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Section: Tablementioning

confidence: 99%

Section: More Than Two Imagesmentioning

confidence: 99%

“…However, few studies have investigated the expansion and redensification of these surfaces (e.g. Rashed, 2008;Michishita et al,2012;Saxton et al, 2013).…”

Section: 1a Framework For Remote Sensing Of Impervious Surface Growthmentioning

confidence: 99%

Section: Mesmamentioning

confidence: 99%

Section: Mesmamentioning

confidence: 99%

See 3 more Smart Citations

Remote sensing of impervious surface growth: A framework for quantifying urban expansion and re-densification mechanisms

Shahtahmassebi

Song

Zheng

et al. 2016

International Journal of Applied Earth Observation and Geoinfor

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Use of Image Endmember Libraries for Multi‐Sensor, Multi‐Scale, and Multi‐Site Mapping of Urban Areas

Canters

Cooper

Degerickx

et al. 2021

Urban Remote Sensing

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Assessing habitat quality at Poyang Lake based on InVEST and Geodetector modeling

Yuan,

Chen,

Chen

et al. 2023

Ecology and Evolution

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Poyang Lake is an essential natural wetland in the Yangtze River basin and plays a vital role in maintaining the ecosystem function and ecological security in the middle and lower reaches of the Yangtze River. However, the relative importance and spatial heterogeneity of the impacts of human activities and land use changes on ecological security needs to be further explored. Here, we analyzed the habitat quality level around Poyang Lake in 2022 and explored the factors of habitat quality change from a geographical perspective. The land use structure changes around the Poyang Lake basin from 2000 to 2022 were quantitatively analyzed, and then the relative importance and spatial heterogeneity of each factor on ecological security changes were investigated using geographic probes. The results show that (1) The worst quality habitat (0–0.1) consists mainly of construction land (1624.9 km2) with an area of 1634.64 km2; (2) Construction land continues to increase with the most significant change, and the dynamic land use attitude is 0.47. Grassland and mudflats have the greatest decrease. The increase in cultivated land in different periods is mainly due to the shift of water surface and forest land; (3) The drivers of habitat quality in Poyang Lake were significantly influenced by the interaction of socioeconomic factors. The explanatory power of population density interacting with the total year‐end population and population density interacting with administrative area exceeded 0.84. These values were higher than the explanatory power of each individual factor, indicating that habitat quality was primarily associated with population density, total year‐end population, and administrative area. These results suggest that human activities contribute to the degradation of wetlands around Poyang Lake. This study has significant reference value for coordinating human–land relationships in Poyang Lake, optimizing land management policy, and improving the sustainable development of cities.

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Monitoring two decades of urbanization in the Poyang Lake area, China through spectral unmixing

Cited by 124 publications

References 39 publications

Remote sensing of impervious surface growth: A framework for quantifying urban expansion and re-densification mechanisms

Remote sensing of impervious surface growth: A framework for quantifying urban expansion and re-densification mechanisms

Use of Image Endmember Libraries for Multi‐Sensor, Multi‐Scale, and Multi‐Site Mapping of Urban Areas

Assessing habitat quality at Poyang Lake based on InVEST and Geodetector modeling

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