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Spatiotemporal dynamics of population density in China using nighttime light and geographic weighted regression method

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International Journal of Digital Earth 2023年第1期16卷 2704-2723页

作者： Wei Guo Jinke Liu Xuesheng Zhao Wei Hou Yunxuan Zhao Yongxing Li Wenbin Sun Deqin Fan College of Geoscience and Surveying Engineering China University of Mining and TechnologyBeijingPeople’s Republic of China Chinese Academy of Surveying&Mapping BeijingPeople’s Republic of China

The distribution and dynamic changes of regional or national population data with long time series are very important for regional planning,resource allocation,government decision-making,disaster assessment,ecological protection,and other sustainability research.However,the existing population datasets such as LandScan and WorldPop all provide data from 2000 with limited time series,while GHS-POP only utilizes land use data with limited accuracy.In view of the limited remote sensing images of long time series,it is necessary to combine existing multi-source remote sensing data for population spatialization research.In this research,we developed a nighttime light desaturation index(NTLDI).Through the cross-sensor calibration model based on an autoencoder convolutional neural network,the NTLDl was calibrated with the same period Visible Infrared Imaging Radiometer Suite Day/Night Band(VIRS-DNB)data.Then,the geographically weighted regression method is used to determine the population density of China from 1990 to 2020 based on the long time series NTL.Furthermore,the change characteristics and the driving factors of China's population spatial distribution are analyzed.The large-scale,long-term population spatialization results obtained in this study are of great significance in government planning and decision-making,disaster assessment,resource allocation,and other aspects.

关键词： nighttime light Population density Geographically weighted regression Population spatialization Driving force analysis

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Power outage and environmental justice in Winter Storm Uri: an analytical workflow based on nighttime light remote sensing

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International Journal of Digital Earth 2023年第1期16卷 2259-2278页

作者： Jinwen Xu Yi Qiang Heng Cai Lei Zou GIS Center Florida International UniversityMiamiFLUSA School of Geosciences University of South FloridaTampaFLUSA Department of Geography Texas A&M UniversityCollege StationTXUSA

The intensity of extreme weather events has been increasing,posing a unique threat to society and highlighting the importance of our electrical power system,a key component in our infrastructure.In severe weather events,quickly identifying power outage impact zones and affected communities is crucial for informed disaster response.However,a lack of household-level power outage data impedes timely and precise assessments.To address these challenges,we introduced an analytical workflow using NASA’s Black Marble daily nighttime light(NTL)images to detect power outages from the 2021 Winter Storm Uri.This workflow includes adjustments to mitigate viewing angle and snow reflection effects.Power outage is detected by comparing storm-time and baseline(normal condition)NTL images using an empirical adjusted equation.The outcomes of the workflow are 500-meter resolution power outage maps,which have the optimal correlation with real outage tracking data when NTL intensity is reduced by 26%.With the resultant power outage maps,we analyzed the relations between power outages and disadvantaged populations in 126 Texas counties and 4182 census tracts to evaluate environmental justice in the storm.The results show that Latino/Hispanic communities tend to suffer more from power outages at both the county and census tract levels.

关键词： nighttime light disaster resilience natural disaster spatial analysis environmental justice power outage

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Response of ecosystem carbon storage to land use change from 1985 to 2050 in the Ningxia Section of Yellow River Basin,China

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Journal of Arid Land 2024年第1期16卷 110-130页

作者： LIN Yanmin HU Zhirui LI Wenhui CHEN Haonan WANG Fang NAN Xiongxiong YANG Xuelong ZHANG Wenjun College of Geographical Sciences and Planning Ningxia UniversityYinchuan 750021China China-Arab Joint International Research Laboratory for Featured Resources and Environmental Governance in Arid Region Yinchuan 750021China Ningxia Land Resources Surveying and Monitoring Institute Yinchuan 750002China State Key Laboratory of Efficient Production of Forest Resources Yinchuan 750002China Ningxia Lingwu Baijitan National Nature Reserve Administration Yinchuan 751400China

Regional sustainable development necessitates a holistic understanding of spatiotemporal variations in ecosystem carbon storage(ECS),particularly in ecologically sensitive areas with arid and semi-arid climate.In this study,we calculated the ECS in the Ningxia Section of Yellow River Basin,China from 1985 to 2020 using the Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST)model based on land use data.We further predicted the spatial distribution of ECS in 2050 under four land use scenarios:natural development scenario(NDS),ecological protection scenario(EPS),cultivated land protection scenario(CPS),and urban development scenario(UDS)using the patch-generating land use simulation(PLUS)model,and quantified the influences of natural and human factors on the spatial differentiation of ECS using the geographical detector(Geodetector).Results showed that the total ECS of the study area initially increased from 1985 until reaching a peak at 402.36×10^(6) t in 2010,followed by a decreasing trend to 2050.The spatial distribution of ECS was characterized by high values in the eastern and southern parts of the study area,and low values in the western and northern parts.Between 1985 and 2020,land use changes occurred mainly through the expansion of cultivated land,woodland,and construction land at the expense of unused land.The total ECS in 2050 under different land use scenarios(ranked as EPS>CPS>NDS>UDS)would be lower than that in 2020.nighttime light was the largest contributor to the spatial differentiation of ECS,with soil type and annual mean temperature being the major natural driving factors.Findings of this study could provide guidance on the ecological construction and high-quality development in arid and semi-arid areas.

关键词： carbon storage land use change nighttime light Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST)model patch-generating land use simulation(PLUS)model geographical detector(Geodetector) Yellow River Basin

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Global mapping of urban built-up areas of year 2014 by combining MODIS multispectral data with VIIRS nighttime light data

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International Journal of Digital Earth 2016年第10期9卷 1004-1020页

作者： Ram C.Sharma Ryutaro Tateishi Keitarou Hara Saeid Gharechelou Kotaro Iizuka Center for Environmental Remote Sensing(CEReS) Chiba UniversityChibaJapan Department of Informatics Tokyo University of Information SciencesChibaJapan Research Institute for Sustainable Humanosphere Kyoto UniversityKyotoJapan

An improved methodology for the extraction and mapping of urban built-up areas at a global scale is presented in this study.The Moderate Resolution Imaging Spectroradiometer(MODIS)-based multispectral data were combined with the Visible Infrared Imager Radiometer Suite(VIIRS)-based nighttime light(NTL)data for robust extraction and mapping of urban built-up areas.The MODIS-based newly proposed Urban Built-up Index(UBI)was combined with NTL data,and the resulting Enhanced UBI(EUBI)was used as a single master image for global extraction of urban built-up areas.Due to higher variation of the EUBI with respect to geographical regions,a region-specific threshold approach was used to extract urban built-up areas.This research provided 500-m-resolution global urban built-up map of year 2014.The resulted map was compared with three existing moderate-resolution global maps and one high-resolution map in the United States.The comparative analysis demonstrated finer details of the urban built-up cover estimated by the resultant map.

关键词： Urban built-up areas VIIRS MODIS nighttime light Urban Built-up Index global mapping

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Local climate zone mapping using remote sensing:a synergetic use of daytime multi-view Ziyuan-3 stereo imageries and Luojia-1 nighttime lightdata

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International Journal of Digital Earth 2023年第1期16卷 3456-3488页

作者： Ying Liang Shisong Cao Mingyi Du Linlin Lu Jie Jiang Jinling Quan Meizi Yang School of Geomatics and Urban Spatial Informatics Beijing University of Civil Engineering and ArchitectureBeijingPeople’s Republic of China Key Laboratory of Urban Spatial Information Ministry of Natural ResourcesBeijingPeople’s Republic of China Key Laboratory of Digital Earth Science Chinese Academy of SciencesAerospace Information Research InstituteBeijingPeople’s Republic of China State Key Laboratory of Resources and Environmental Information System Chinese Academy of SciencesInstitute of Geographic Sciences and Natural Resources ResearchBeijingPeople’s Republic of China School of Architecture and Urban Planning Beijing University of Civil Engineering and ArchitectureBeijingPeople’s Republic of China

The local climate zone(LCZ)scheme has been widely utilized in regional climate modeling,urban planning,and thermal comfort investigations.However,existing LCz classification methods face challenges in characterizing complex urban structures and human activities involving local climatic environments.In this study,we proposed a novel LCZ mapping method that fully uses space-borne multi-view and diurnal observations,i.***.daytime Ziyuan-3 stereo imageries(2.1 m)and Luojia-1 nighttime light(NTL)data(130 m).Firstly,we performed land cover classification using multiple machine learning methods(i.***.random forest(RF)and XGBoost algorithms)and various features(i.***.spectral,textural,multi-view features,3D urban structure parameters(USPs),and NTL).In addition,we developed a set of new cumulative elevation indexes to improve building roughness assessments.The indexes can estimate building roughness directly from fused point clouds generated by both along-and across-track modes.Finally,based on the land cover and building roughness results,we extracted 2D and 3D USPs for different land covers and used multi-classifiers to perform LCZ mapping.The results for Beijing,China,show that our method yielded satisfactory accuracy for LCZ mapping,with an overall accuracy(OA)of 90.46%.The overall accuracy of land cover classification using 3D USPs generated from both along-and across-track modes increased by 4.66%,compared to that of using the single along-track mode.Additionally,the OA value of LCZ mapping using 2D and 3D USPs(88.18%)achieved a better result than using only 2D USPs(83.83%).The use of NTL data increased the classification accuracy of LCZs E(bare rock or paved)and F(bare soil or sand)by 6.54%and 3.94%,respectively.The refined LCZ classification achieved through this study will not only contribute to more accurate regional climate modeling but also provide valuable guidance for urban planning initiatives aimed at enhancing thermal comfort and overall livabillity in urban areas.Ultimately,this study paves the way for more co

关键词： Local climate zone land cover three-dimensional urban structure parameters nighttime light multi-classifiers

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An urbanization monitoring dataset for world cultural heritage in the Belt and Road region

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Big Earth Data 2022年第1期6卷 127-140页

作者： Da Xiao Linlin Lu Xinyuan Wang Vilas Nitivattananon Huadong Guo Wenhua Hui Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijingChina College of Geological Engineering and Geomatics Chang’an UniversityXi’anChina Urban Environmental Management Program School of EnvironmentResources and DevelopmentAsian Institute of TechnologyBangkokThailand

World cultural heritage refers to properties recognized as having historical, social, and anthropological value. Global urbanization has changed the land cover, land use, transportation, landscape, and local environment in cities, and thus exposed World Heritage sites to risks induced by direct or indirect damaging factors. In this paper, an urbanization intensity index (UII) was developed to quantitatively measure urban dynamics in the vicinity of World Heritage sites. This index is based on three global Earth observation datasets, including a global human settlement layer, a global population grid product, and a global nighttime light imagery. Large UII values represent high urbanization levels and intensive human activities in the study area and vice versa. The assessment results show that the mean UII value at 79 world cultural heritage sites in the Belt and Road region increased from 0.26 in 2000 to 0.29 in 2015. The heritage sites were then classified into four types based on the change rates of UIIs. A total of seven heritage sites were identified as exposed to risks due to urban sprawl and infrastructure expansion. The UII dataset can be combined with UNESCO’s periodic reports and site-specific data to provide valuable information for international communities to develop heritage preservation policies.

关键词： Urban sprawl cultural heritage sustainable development goals nighttime light

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The effects of Taobao villages' spatiotemporal agglomeration on urbanization:A case study of Quanzhou,Fujian

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Journal of Geographical Sciences 2023年第7期33卷 1442-1460页

作者： LIN Juan LIN Mingshui YOU Xiaojun WU Shiyan School of Cultural Tourism and Public Administration Fujian Normal UniversityFuzhou 350117China The Higher Educational Key Laboratory for Smart Tourism of Fujian Province Fuzhou 350117China School of Geographical Sciences Fujian Normal UniversityFuzhou 350117China

The agglomeration of the rural e-commerce industry represented by Taobao villages has reshaped the existing urban and rural spatial organization and proposed a new urbanization model.This study identified the spatiotemporal characteristics of Taobao villages in Quanzhou city and built panel regression models to examine the impact of these villages on urbanization level,which is measured via nighttime light(NTL).The results show that(1)while the number of Taobao villages in Quanzhou city has increased rapidly,it has also experienced sporadic growth and monocentric agglomeration,finally forming a polycentric agglomeration pattern;(2) Taobao villages display a significant near-city tendency,and the urbanization level of towns with Taobao villages is higher than that of towns without Taobao villages;(3) the panel regression model highlights that Taobao villages have a significant positive impact on urbanization level.Taobao villages near the city exhibit a greater effect;meanwhile,those that are far away from the city cannot improve their urbanization level unless they reach a considerable degree of agglomeration.Rural e-commerce will become an important direction for the transformation of urban fringe areas,which provides a certain reference for the development of new urbanization in China.

关键词： rural e-commerce Taobao village new urbanization nighttime light Quanzhou city

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Spatial Identification of Housing Vacancy in China

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Chinese Geographical Science 2021年第2期31卷 359-375页

作者： PAN Jinghu DONG Leilei College of Geography and Environmental Sciences Northwest Normal UniversityLanzhou 730070China Northwest Institute of Eco-Environment and Resources Lanzhou 730000China

The housing vacancy rate(HVR)is an important index in assessing the healthiness of residential real estate market.In China,it is hardly to take advantage of the basic data of real estate information due to the opaque of those data.In this paper,the HVR is estimated to two scales.At the grid level,urban area ratio was calculated by nighttime images after eliminating outliers of nighttime images and night light intensity of non-residential pixels in mixed pixels by a proposed modified optimal threshold method,and built-up areas in each pixel were extracted from the land-cover data.Then,the HVR is calculated by comparing the light intensity of specific grid with the light intensity of full occupancy rate regions.At the administrative scale,the GCI(‘ghost city’index)is constructed by calculating the ratio of the total light radiation intensity of a city to the total construction land area of the city.The overall spatial differentiation pattern of the vacant houses in the national prefecture level administrative regions is analyzed.The following conclusions were drawn:vacant housing is rare in certain eastern coastal cities and regions in China with relatively fast economic development.Cities based on exhausted resources,some mountainous cities,and cities with relatively backward economic development more typically showed high levels of housing vacancy.The GCI of prefecture-level administrative units gradually declined from north to south,whereas the east-west distribution showed a parabolic shape.As city level decreased,the GCI registered a gradual upward trend.China’s urban housing vacancy can be divided into five categories:industry or resources driven,government planned,epitaxy expansionary,environmental constraint and speculative activate by combining the spatial distribution of housing vacancy with the factors of natural environment,social economic development level,and population density into consideration.

关键词： housing vacancy rate(HVR) spatial identification nighttime light spatial pattern ghost city China

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URBANIZATION EFFECTS ON OBSERVED CHANGES IN SUMMER EXTREME HEAT EVENTS OVER ZHEJIANG PROVINCE, EAST CHINA

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Journal of Tropical Meteorology 2015年第3期21卷 295-302页

作者：杨续超陈锋祝炜平滕卫平 Ocean College Zhejiang University Zhejiang Institute of Meteorological Sciences Institute of Remote Sensing and Earth Sciences College of Science Hangzhou Normal University Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change

Although the urban heat island(UHI) is a well-documented phenomenon, relatively little information in the literature is available about its impact on summer extreme heat event(EHE). As UHI is characterized by increased temperature, it can potentially increase the magnitude and duration of EHEs within cities. Based on daily maximum temperature records from 62 observation stations in Zhejiang province from the period 1971-2011 and satellite-measured nighttime light imagery from the Defense Meteorological Satellite Program(DMSP) Operational Linescan System(OLS) during 1992-2010, we analyzed the long-term change of summer EHEs and its association with the rapid urbanization process. The results could be concluded as follows:(1) Zhejiang has experienced rapid urbanization and dramatic growth in urban areas in the past two decades, especially after 2000.(2) The summer mean maximum temperature and the 95 th percentile of summer daily maximum temperature in most of its stations have increased, with the most significant increase occurring in the highly urbanized areas including the city belt around Hangzhou Bay, Taizhou-Wenzhou and Jinghua-Yiwu city belts.(3) The hot days and hot-day degrees, defined by both daily 95 th percentile and the threshold of 35℃, show that the UHI effect causes additional hot days and heat stress in urban stations compared to rural stations.The results in this study suggest that the UHI effect should be determined and incorporated in preparing high temperature forecasts in cities.

关键词： urbanization urban heat island extreme heat event nighttime light Zhejiang province

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