Developing Improved Time-Series DMSP-OLS-Like Data (1992–2019) in China by Integrating DMSP-OLS and SNPP-VIIRS

Wu, Yizhen; Shi, Kaifang; Chen, Zuoqi; Liu, Shirao; Chang, Zhijian

doi:10.1109/tgrs.2021.3135333

Cited by 53 publications

(27 citation statements)

References 39 publications

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“…Data on the total, urban, and rural population at the county level for the years 2000 and 2020 were collected from the fifth and seventh national population censuses in China (H. Wu, Shi, et al., 2021). To assess changes in population pressure within counties, we calculated the difference in total population between 2020 and 2000 for each county.…”

Section: Methodsmentioning

confidence: 99%

“…This data set provides improved time-series data similar to Defense Meteorological Satellite Program-Operational Linescan System (DMSP-OLS) (1992-2021) by integrating DMSP-OLS and SNPP-VIIRS (the Suomi National Polar-orbiting Partnership satellite platform-Visible Infrared Imaging Radiometer Suite) (Y. Wu et al, 2022). To analyze the data on a county level, we calculated the average night light values for each county, transforming the grid-scale data into county-scale data.…”

Section: Socioeconomic Datamentioning

confidence: 99%

“…Land use/cover data with a 30 m resolution in the year 2000 and 2020 was obtained from GlobeLand30 land‐cover product (https://www.webmap.cn/mapDataAction.do?method=globalLandCover). Annual nighttime light data from 1992 to 2022 was downloaded from Harvard Dataverse (Y. Wu, Shi, et al., 2021). Monthly precipitation, temperature, and potential evapotranspiration data with a resolution of 1 km from January 2000 to December 2020 were acquired from the National Earth System Science Data Center and the National Science & Technology Infrastructure of China: Precipitation (Peng, 2023b), temperature (Peng, 2023a), potential evapotranspiration (Peng, 2023c).…”

Section: Data Availability Statementmentioning

confidence: 99%

“…We obtained annual night light data with a 1 km resolution from HARVARD Dataverse (Y. Wu et al, 2022) for the years 2000-2020. This data set provides improved time-series data similar to Defense Meteorological Satellite Program-Operational Linescan System (DMSP-OLS) (1992-2021) by integrating DMSP-OLS and SNPP-VIIRS (the Suomi National Polar-orbiting Partnership satellite platform-Visible Infrared Imaging Radiometer Suite) (Y.…”

Section: Socioeconomic Datamentioning

confidence: 99%

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Distinguishing Trajectories and Drivers of Vegetated Ecosystems in China's Loess Plateau

Wang,

Fu,

et al. 2024

Earth's Future

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Terrestrial ecosystems can exhibit various behaviors in response to climate change and human activities. Nonlinear and abrupt shifts in ecosystems are particularly important as they indicate substantial modifications in ecosystem structure and function, posing a threat to the provision of ecosystem services. Here we distinguish between linear, curvilinear, and abrupt shifts in ecosystem productivity from 2000 to 2020 in China's Loess Plateau. We utilize spatial Random Forest models to analyze the driving factors behind these change patterns. Our findings indicate that 84.1% of the ecosystems experienced a positive change in plant productivity, while a small proportion (2.5%) exhibited a negative change. Abrupt shifts are prevalent in both positive and negative changes in ecosystem productivity, with negative changes often manifesting as abrupt shifts (79.3%). Negative changes in plant productivity, particularly the negative abrupt shifts, are primarily associated with human activities characterized by increased nighttime light and urbanization. Land conversion to forest is linked to a curvilinear trajectory in plant productivity, characterized by nonlinear changes with acceleration. Higher water availability and a wetter environment are more likely to promote positive changes in plant productivity. Moderate warming trends contribute to abrupt positive changes in plant productivity, while high warming trends are associated with increased negative abrupt and curvilinear changes. We highlight the importance of accounting for diverse change behaviors in ecosystems for the development of targeted conservation and restoration measures.

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Section: Methodsmentioning

confidence: 99%

Section: Socioeconomic Datamentioning

confidence: 99%

Section: Data Availability Statementmentioning

confidence: 99%

Section: Socioeconomic Datamentioning

confidence: 99%

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Distinguishing Trajectories and Drivers of Vegetated Ecosystems in China's Loess Plateau

Wang,

Fu,

et al. 2024

Earth's Future

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“…We converted NPP/VIIRS into DMSP/OLS-like data (2013-2018) through a sigmoid model, and calculated it with the calibrated DMSP/OLS (2008)(2009)(2010)(2011)(2012)(2013) to generate this nighttime light (NTL) dataset (2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018). It was proven that this NTL dataset can solve the problem of the two sets of night light data not being able to be used together, and can be utilized for long-time series research of urban problems with high accuracy [30].…”

Section: Study Areasmentioning

confidence: 99%

Spatiotemporal Heterogeneity of Urban Land Expansion and Urban Population Growth under New Urbanization: A Case Study of Chongqing

Zhang

Chen

et al. 2022

IJERPH

Self Cite

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Land urbanization (LU) and population urbanization (PU) maintain the nature of spatiotemporal heterogeneity in China. As a municipality directly administered by the central government in the mode of “large cities and large rural areas”, Chongqing’s urbanization process is the epitome of China’s urbanization process. This paper examines the spatiotemporal variability of LU and PU in Chongqing on the basis of nighttime light data, the elasticity coefficient of the coupling relationship, and GWR. The results show that (1) the urban land and urban population in Chongqing grew notably from 2008 to 2018, with average annual growth rates of 9.4% and 2.3%, respectively. (2) The coupling coordination coefficient of LU and PU in Chongqing was 0.24, and the total number of districts and counties with uncoordinated development increased, but the overall uncoordinated situation gradually improved over the period. (3) The influence of PU on LU in each district and county increased year by year, and it showed a decreasing trend from southwest to northeast in Chongqing, which indicates that LU was increasingly adapted to the construction needs of PU. The gap between LU and PU widened due to the household registration system, land fiscal policies and other policies. After the reform of the household registration system and the adjustment of new pilot policies targeting the construction of new-type urbanization, the coupling relationship between LU and PU was gradually improving to the coordinated mode. The findings indicate that Chinese urban areas should adhere to the principle of new-type urbanization construction and carry out scientific land planning strategies, strictly controlling land expansion to promote the reasonable development of population growth.

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Population agglomeration, borrowed size and urban economic growth in China

Chen,

Wang,

Hao

et al. 2024

Cities

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Developing Improved Time-Series DMSP-OLS-Like Data (1992–2019) in China by Integrating DMSP-OLS and SNPP-VIIRS

Cited by 53 publications

References 39 publications

Distinguishing Trajectories and Drivers of Vegetated Ecosystems in China's Loess Plateau

Distinguishing Trajectories and Drivers of Vegetated Ecosystems in China's Loess Plateau

Spatiotemporal Heterogeneity of Urban Land Expansion and Urban Population Growth under New Urbanization: A Case Study of Chongqing

Population agglomeration, borrowed size and urban economic growth in China

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