2017
DOI: 10.1016/j.rse.2017.08.036
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An evaluation of monthly impervious surface dynamics by fusing Landsat and MODIS time series in the Pearl River Delta, China, from 2000 to 2015

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Cited by 104 publications
(47 citation statements)
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“…Sustainability 2020, 12, x FOR PEER REVIEW 16 of 25 13 it is clear that there is an addition within each analyzed period. This compared to Figure 15, shows that the amount of change within some periods were great while others were minimal.…”
Section: Change Rate and Growth Rate Calculations And Analysesmentioning
confidence: 99%
See 1 more Smart Citation
“…Sustainability 2020, 12, x FOR PEER REVIEW 16 of 25 13 it is clear that there is an addition within each analyzed period. This compared to Figure 15, shows that the amount of change within some periods were great while others were minimal.…”
Section: Change Rate and Growth Rate Calculations And Analysesmentioning
confidence: 99%
“…Impermeable surfaces, such as concrete, roads, buildings, asphalts, walkways, sidewalks are also called impervious surfaces [9], which is a characteristic of urbanization and modernization. To understand the impact of urbanization, different methods have been expansively studied by [10][11][12][13][14], who further developed a system for retrieving annual and long-term fields of impervious surface cover of urban growth [15]. Previous studies have also developed various ISEI for urban mapping and monitoring studies [16,17], rate of urbanization, urban growth and expansion [18][19][20], and recently applied to megacities [21].…”
Section: Introductionmentioning
confidence: 99%
“…As shown in Figure 1, Geomembrane is an important part of landfill liner system (Zhang, Weng & Shao, 2017). In order to reduce the tension stress of Geomembrane, an anchorage ditch is designed at intervals on the slope.…”
Section: Geomembrane Modelmentioning
confidence: 99%
“…However, due to the presence of mixed pixels in coarse or medium-resolution images, relying solely on multi-temporal data often does not yield satisfactory results [11,12]. Time series images can better solve the spectral confusion problem between similar land cover types [13][14][15][16] and provide clearer distinctions between vegetation changes caused by phenological changes, interannual variations, and vegetation changes caused by impervious surface changes [17,18].…”
Section: Introductionmentioning
confidence: 99%