2017
DOI: 10.1016/j.ejrs.2016.11.003
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Detection of land use and land cover change and land surface temperature in English Bazar urban centre

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Cited by 368 publications
(241 citation statements)
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“…If the number of correct pixels of category i is divided by the total pixels of category i, this is called user's accuracy, known as "commission error". Kappa coefficient, K, which considers the omission error and commission error, is also used [20][21][22]. Several accuracy formulas used are as follows [20,22,23]:…”
Section: Data Post-processing and Accuracy Assessment Of Lcz Classifimentioning
confidence: 99%
“…If the number of correct pixels of category i is divided by the total pixels of category i, this is called user's accuracy, known as "commission error". Kappa coefficient, K, which considers the omission error and commission error, is also used [20][21][22]. Several accuracy formulas used are as follows [20,22,23]:…”
Section: Data Post-processing and Accuracy Assessment Of Lcz Classifimentioning
confidence: 99%
“…Nevertheless, an increase in land surface temperatures (LST) is one of the key effects of LULC changes [6]- [11]. Increases in LST over the past several decades are considered a major issue in urban regions, due to the conversion of vegetation cover to impervious cover [12], which in turn has a negative impact on people [13], affects many environmental processes and modifies the degree of solar radiation's absorption, evaporation rates, desertification, air pollution, albedo, heat storage, wind turbulence and many aspects of the water balance [14]. Therefore, the impact on environmental processes cannot be well-understood and mitigated without understanding the impacts of climate change, the interaction between the earth and the atmosphere and knowledge of land use/land cover change at various scales that drive them [2].…”
Section: Introductionmentioning
confidence: 99%
“…Remote sensing (RS) provides medium and high spatial, spectral and temporal resolution data with consistent and repetitive coverage of the earth's surface [17], and a high capability to extract change information from satellite data [12]. However, LULC change and LST can be monitored by traditional surveys and land based observation stations, as well as satellite data, because it is a time and cost-effective technique that can provide more information with respect to land use's geographical distribution [7].…”
Section: Introductionmentioning
confidence: 99%
“…We use the visually-weighted regression to assess area-average changes in cropland fraction over both significantlyincreasing cropland regions and all regions with cropland. In this analysis, we focus on the former, as significant cropland expansion likely increases the climate signal we assess (Gedney and Valdes 2000, Pal and Ziaul 2017, Li et al 2018, though our results are insensitive to performing this analysis over all cropland (see supplementary material).…”
Section: Characterizing Cropland Expansionmentioning
confidence: 99%