2021
DOI: 10.1016/j.jclepro.2021.129488
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An improved approach for monitoring urban built-up areas by combining NPP-VIIRS nighttime light, NDVI, NDWI, and NDBI

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Cited by 103 publications
(52 citation statements)
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“…At present, most night light data selected for the extraction of built-up areas are DMSP/OLS and NPP-VIIRS (Yu et al, 2021;Zheng et al, 2021), which have low spatial resolution. However, the Luojia-1A data used in this study had a spatial resolution of 130 m, and studies have showed that Luojia-1A data was more Frontiers in Environmental Science frontiersin.org sensitive in detecting new emerging urban built-up areas, which can better reflect the spatial structure of urban system and achieve a higher extraction accuracy (Li et al, 2018;Hu et al, 2021b;Wang and Shen, 2021).…”
Section: Discussion Urban Built-up Area Extractionmentioning
confidence: 99%
“…At present, most night light data selected for the extraction of built-up areas are DMSP/OLS and NPP-VIIRS (Yu et al, 2021;Zheng et al, 2021), which have low spatial resolution. However, the Luojia-1A data used in this study had a spatial resolution of 130 m, and studies have showed that Luojia-1A data was more Frontiers in Environmental Science frontiersin.org sensitive in detecting new emerging urban built-up areas, which can better reflect the spatial structure of urban system and achieve a higher extraction accuracy (Li et al, 2018;Hu et al, 2021b;Wang and Shen, 2021).…”
Section: Discussion Urban Built-up Area Extractionmentioning
confidence: 99%
“…Nighttime-lighting data are widely used for the extraction of built-up areas, but there are problems of low resolution, 'light spillover', and susceptibility to scattering from road lights and water surfaces [27,28]. Building composition index (BCI), normalized difference impervious surface index (NDISI), etc., are more convenient to extract buildings, but bare soil and water bodies are confused with buildings, and the overall classification accuracy is not high [29][30][31]. LSMM solves the problem of mixed-image elements by obtaining the end-element components and can solve the problem of confusing water bodies with buildings.…”
Section: Urban Built-up-areas Extraction Modulementioning
confidence: 99%
“…NDBI estimation helps in extracting the built-up regions in the study area [32] and is the measure of difference between shortwave infrared and near-infrared bands. NDBI is calculated as per Equation (5).…”
Section: Estimation Of Land Cover Variability Indicesmentioning
confidence: 99%