Derivation of fractional urban signals in better capturing urbanization process

Xu, Ruibo; Hu, Yonghong; Gao, Hao; Pan, Zharong

doi:10.1007/s12665-017-6747-x

Cited by 3 publications

(2 citation statements)

References 34 publications

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“…And this can be observed as the distinct increase between these bands. As a result, after differencing and binary recoding, the build-up region may be distinguished from the other covers and hence from the NDBI Pixel values of typical land covers (Xu et al, 2017). Positive values for build-up pixels are obtained via standardized MIR and NIR differentiation.…”

Section: Derivation Of Normalized Difference Built-up Index (Ndbi)mentioning

confidence: 99%

Nvironmental Impacts of Urban Sprawl Using Remote Sensing Indices: A Case Study of Amman City – The Capital of Jordan

ABDELJAWAD¹,

ADEDOKUN²,

NAGY³

2023

GTG

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Urban sprawl is known to have a negative impact on the environment and is considered one of the main challenges in urban development. The current work aims to understand the spatio-temporal characteristics of urban growth and its environmental impact in the city of Amman. The paper's empirical method relies on NDVI, NDBI, and LST calculated using remote sensing and GIS techniques. For this study, Landsat Thematic Mapper Landsat 5-TM images from 1990, 1995, 1999, and 2004 were acquired, as well as Landsat 8-OLI images from 2013, 2017, and 2022. The surface temperature of Amman has increased as the area of paved roads, residential, commercial and industrial land use types have increased, while green spaces and vacant lots have decreased. The NDVI analysis revealed that there was variation in the vegetation index during the study year due to human activities as well as climatic change. Correlations between biophysical variables and LST revealed that NDVI had a significant negative correlation, while NDBI had a positive relationship. Further, a significant positive correlation was observed between road networks and built-up areas which enhance the occurrence of urban sprawl due to urbanization. This study highlighted the significance of considering the environmental consequences of urban sprawl when developing and implementing GAM policies and strategies.

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Section: Derivation Of Normalized Difference Built-up Index (Ndbi)mentioning

confidence: 99%

Nvironmental Impacts of Urban Sprawl Using Remote Sensing Indices: A Case Study of Amman City – The Capital of Jordan

ABDELJAWAD¹,

ADEDOKUN²,

NAGY³

2023

GTG

View full text Add to dashboard Cite

show abstract

“…To investigate the impacts on urban warming effect simulations, a nonurban land cover (NOURB) experiment is designed based on the ULUC experiments with the urban land cover replaced by cropland as in previous studies (Zhang et al 2010(Zhang et al , 2016. This study focuses on the uncertainties caused by the urban cover information as documented by Xu et al (2017), so the anthropogenic heat release is excluded in the simulations, and even previous studies have documented its importance (Zhang and Chen 2014;Zhang et al 2016). The NOURB experiment is designed as a baseline experiment to estimate the urban land cover expanding influences, in which all urban grids were replaced by cropland as in previous studies (Zhang and Chen 2014;Zhang et al 2010Zhang et al , 2016.…”

Section: Model Descriptions and Numerical Experiments Designmentioning

confidence: 99%

Influence of urban land cover data uncertainties on the numerical simulations of urbanization effects in the 2013 high-temperature episode in Eastern China

Zhang

Chen

Gao

2019

Theor Appl Climatol

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Updating the urban land cover information has been proved a necessary method for the numerical studies of urban climate and urban atmospheric environment in China, a fast urbanizing country. However, there are uncertainties in the urban land use/cover (ULUC) information in different datasets due to the uncertainties in raw data sources and produce methods. In this study, the Weather Research and Forecasting model is used to simulate the summer climate over the Yangtze River Delta in July and August 2013, when a heatwave episode occurred. Five numerical experiments are designed; one is the baseline experiment (non-urban land cover (NOURB)) in which all urban land covers are removed, and different urban land use/cover (ULUC) experiments from four different global land cover datasets are used in other four experiments. The differences between the ULUC experiments and the NOURB experiment are used to observe the urbanization effects. The results show a remarkable urbanization effect in all the ULUC experiments, and the urbanization influences are most different over the union-urban area, which defined as the area marked as urban area by at least one land cover dataset, because the uncertainties in urban land cover information are greatest in this area. All the ULUC experiments show the regional influence of urbanization as well, which means urbanization effects are not limited in cities. The Climate Change Initiative (CCI) experiment using the European Space Agency CCI 2013 dataset showed the greatest urbanization influence and the highest effect index in all analyzed variables, because of the largest urban land cover area in the analysis domain. The urban land cover area in the Global Land Cover experiment is the smallest among the ULUC experiments, but it distributes in a more concentrated way than in other experiments; it indicates that both city size and city shape affect the regional influence.

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Precipitation variability and its response to urbanization in the Taihu Lake Basin, China

Liu

Sang

et al. 2021

Theor Appl Climatol

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Derivation of fractional urban signals in better capturing urbanization process

Cited by 3 publications

References 34 publications

Nvironmental Impacts of Urban Sprawl Using Remote Sensing Indices: A Case Study of Amman City – The Capital of Jordan

Nvironmental Impacts of Urban Sprawl Using Remote Sensing Indices: A Case Study of Amman City – The Capital of Jordan

Influence of urban land cover data uncertainties on the numerical simulations of urbanization effects in the 2013 high-temperature episode in Eastern China

Precipitation variability and its response to urbanization in the Taihu Lake Basin, China

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