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学者姓名：陈佐旗
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Abstract ：
The Sustainable Development Goals Satellite 1 (SDGSAT-1), equipped with the Glimmer Imager (GLI), provides high-resolution nighttime light (NTL) data across multiple spectral bands. Thus, it can notably monitor human dynamics and light pollution with enhanced spectral and spatial resolution. However, cloud cover and lowquality observations often contaminate the SDGSAT-1 GLI NTL data, limiting its effectiveness. This challenge is addressed by the development of a novel method, namely the SpatioTemporal And spectRal gap-filling method for Sdgsat-1 (STARS) GLI NTL images, which combines spatiotemporal and spectral information to generate cloud-free NTL images with satisfactory pixel brightness and continuity. STARS is the first method to effectively address gap-filling in multiband NTL data using RGB spectral information, even with irregular time intervals and limited image inputs. Compared with traditional methods such as the temporal gap-filling method and the meanweighted gap-filling method, the Cloud Removing bY Synergizing spatioTemporAL information (CRYSTAL) method, and the spatial and temporal adaptive reflectance fusion model (STARFM), which do not specifically account for the differences in light source variations in multi-band NTL data, STARS demonstrates superior performance (higher R-squared (R2) and lower root-mean-square error (RMSE)) in simulations across seven global cities, demonstrating its effectiveness in filling cloud-induced gaps in multi-band NTL data. On average, STARS achieves R2 values for the gap-filling results compared to the actual values of 0.79, 0.78, and 0.70 in the RGB bands, respectively. The cloud-free images produced by STARS extend the time series of the SDGSAT-1 GLI NTL data, supporting multitemporal quantitative analysis. In cloudy regions like Tianjin, China, STARS effectively captures dynamic changes in NTL before and after the Spring Festival, closely matching human activity patterns from Baidu Maps, both spatially and temporally. Overall, STARS offers an innovative and effective approach for gap-filling multiband NTL data, with potential applications in similar datasets.
Keyword ：
Cloud removal Cloud removal Gap-filling Gap-filling Glimmer imager Glimmer imager Human dynamics monitoring Human dynamics monitoring Image reconstruction Image reconstruction SDGSAT-1 SDGSAT-1
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| GB/T 7714 | Wang, Congxiao , Xu, Wei , Chen, Zuoqi et al. STARS: A novel gap-filling method for SDGSAT-1 nighttime light imagery using spatiotemporal and spectral synergy [J]. | REMOTE SENSING OF ENVIRONMENT , 2025 , 322 . |
| MLA | Wang, Congxiao et al. "STARS: A novel gap-filling method for SDGSAT-1 nighttime light imagery using spatiotemporal and spectral synergy" . | REMOTE SENSING OF ENVIRONMENT 322 (2025) . |
| APA | Wang, Congxiao , Xu, Wei , Chen, Zuoqi , Liu, Shaoyang , Li, Wei , Zhang, Lingxian et al. STARS: A novel gap-filling method for SDGSAT-1 nighttime light imagery using spatiotemporal and spectral synergy . | REMOTE SENSING OF ENVIRONMENT , 2025 , 322 . |
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The Sustainable Development Goals Satellite 1 (SDGSAT-1), equipped with the Glimmer Imager (GLI), provides high -resolution nighttime light (NTL) data across multiple spectral bands, potentially facilitating the monitoring of sustainable development goals (SDGs). This study developed a denoising algorithm for the multispectral SDGSAT-1 GLI and demonstrated that its data capacity allows for the measurement of the SDG indicators 7.1.1, 11.5.2, and the achievement of target 7.3. The results indicate that (1) The denoising algorithm can effectively remove strips and salt -and -pepper noise from SDGSAT-1 GLI images, with the residual noise significantly reduced and almost little information loss. (2) SDGSAT-1 GLI data can accurately identify electrified areas at a finer spatial scale for calculating Indicator 7.1.1, compared to the traditional NASA ' s Black Marble Product. The findings show that highly urbanized cities exhibit a greater proportion of their population with access to electricity than underdeveloped cities. (3) SDGSAT-1 proficiently estimates economic losses resulting from nonnatural disasters for Indicator 11.5.2. Changes in SDGSAT-1 NTL intensity strongly correlate with pandemicinduced economic losses, with an R 2 exceeding 0.8. (4) When measuring Target 7.3 achievement, the SDGSAT-1 GLI multispectral bands classify streetlight types into light-emitting diode and high-pressure sodium lamps with acceptable overall accuracy (89.9%). Sequentially, the classification shows that Shanghai achieved a 13.09% energy-saving benefit. Overall, by leveraging the high spatial resolution, multiple spectra, and appropriate satellite overpass times of SDGSAT-1 GLI, the estimated SDG indicators in this study outperform those based on Black Marble products, and SDGSAT-1 GLI data have the potential to serve as a direct data source or reference factor for estimating at least 11 SDG indicators.
Keyword ：
Denoising algorithm Denoising algorithm Glimmer imager Glimmer imager Nighttime light Nighttime light SDGs SDGs SDGSAT-1 SDGSAT-1
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| GB/T 7714 | Liu, Shaoyang , Wang, Congxiao , Chen, Zuoqi et al. Efficacy of the SDGSAT-1 glimmer imagery in measuring sustainable development goal indicators 7.1.1, 11.5.2, and target 7.3 [J]. | REMOTE SENSING OF ENVIRONMENT , 2024 , 305 . |
| MLA | Liu, Shaoyang et al. "Efficacy of the SDGSAT-1 glimmer imagery in measuring sustainable development goal indicators 7.1.1, 11.5.2, and target 7.3" . | REMOTE SENSING OF ENVIRONMENT 305 (2024) . |
| APA | Liu, Shaoyang , Wang, Congxiao , Chen, Zuoqi , Li, Wei , Zhang, Lingxian , Wu, Bin et al. Efficacy of the SDGSAT-1 glimmer imagery in measuring sustainable development goal indicators 7.1.1, 11.5.2, and target 7.3 . | REMOTE SENSING OF ENVIRONMENT , 2024 , 305 . |
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Poverty continues to pose significant global challenges. Analyzing poverty distribution is pivotal for identifying spatial and demographic disparities, informing targeted policy interventions, and fostering inclusive and equitable development. The absence of a worldwide pixel-scale time-series poverty dataset has hampered effective policy formulation. To address this gap, we employ the international wealth index (IWI) derived from household survey data to represent poverty levels. Subsequently, a random forest regression model was constructed, with IWI serving as the dependent variable and representative features extracted from nighttime lights, land cover, digital elevation model, and World Bank statistical data serving as independent variables. This yielded a global map of the IWI for low- and middle-income nations at a 10-km resolution spanning 2005 to 2020. The model demonstrated robust performance with an R2 value of 0.74. Over the studied period, areas and populations with IWI <= 50 decreased by 8.85% and 16.17%, indicating a steady decrease in global poverty regions. Changes in the IWI at the pixel scale indicate that areas closer to cities have faster growth rates. Furthermore, our poverty estimation models present a novel method for real-time pixel-scale poverty assessments. This study provides valuable insights into the dynamics of poverty, both globally and nationally.
Keyword ：
Global poverty Global poverty International Wealth Index International Wealth Index nighttime light data nighttime light data random forest regression model random forest regression model time-series time-series
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| GB/T 7714 | Li, Yangguang , Wu, Bin , Wang, Congxiao et al. Measuring human settlement wealth index at 10-km resolution in low- and middle-income countries from 2005 to 2020 using multi-source remote sensing data [J]. | INTERNATIONAL JOURNAL OF DIGITAL EARTH , 2024 , 17 (1) . |
| MLA | Li, Yangguang et al. "Measuring human settlement wealth index at 10-km resolution in low- and middle-income countries from 2005 to 2020 using multi-source remote sensing data" . | INTERNATIONAL JOURNAL OF DIGITAL EARTH 17 . 1 (2024) . |
| APA | Li, Yangguang , Wu, Bin , Wang, Congxiao , Chen, Zuoqi , Liu, Shaoyang , Yu, Bailang . Measuring human settlement wealth index at 10-km resolution in low- and middle-income countries from 2005 to 2020 using multi-source remote sensing data . | INTERNATIONAL JOURNAL OF DIGITAL EARTH , 2024 , 17 (1) . |
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Poverty is a major problem faced by developing countries. As the world’s largest developing country, China has been committed to poverty eradication. 2020 is the final year of China’s comprehensive victory in the war against poverty. At present, China has entered the post-poverty era, and the reasonable assessment of the poverty reduction effect is the focus of the acceptance work at this stage, which is of great significance to explore a long-term mechanism for solving relative poverty. The county-level geographical unit is the basic unit for China to formulate and implement the macro and micro policies and strategies for regional poverty reduction. Concentrated contiguous poverty-stricken areas concentrated in mountainous areas, old revolutionary base areas, and areas with poor natural resource endowment, with large internal development differences, belong to the most disaster-hit areas of poverty in China. After synthesizing an annual dataset of NPP-VIIRS nighttime light (NTL) data from 2014 to 2020, we developed a county-level NTL index to investigate the poverty reduction effects of 831 national level poverty-stricken counties and 14 concentrated contiguous poverty-stricken areas in China. The economic level of most poverty-stricken counties in China improved significantly during the study period, and the poverty reduction effect was prominent. However, 108 poverty-stricken counties still suffer from negative growth in terms of NTL intensity; these counties are located mainly at the junction of concentrated and contiguous poverty-stricken areas in the western region. The border area, mainly inhabited by ethnic minorities, has a poor ecological environment, a low level of economic development, and a relatively poor self-development ability, which may lead to a relatively poor poverty reduction effect. In addition, the NTL intensity development between the northern and southern parts of the western region is unbalanced. The growth rate of NTL in poor counties decreased from the east to the middle and western regions. In terms of the overall poverty alleviation trend, there was a period of rapid development in poor counties in the year before the declaration of poverty alleviation. However, after the declaration of poverty alleviation, the intensity of NTL decreased, the speed of poverty reduction slowed down, and there may be a risk of returning to poverty in some poor counties. Four NTL development modes, i.e., a small NTL base with a rapid growth rate (mode I), a large NTL base with a rapid growth rate (mode II), a large NTL base with a slow growth rate (mode III), and a small NTL base with a slow growth rate (mode IV), were identified in the 14 concentrated contiguous poverty-stricken areas. The high- and low-restriction modes were distributed at the junction areas of the different provincial administrative boundaries. In addition, poor counties along the border are vulnerable to marginalization. Further analysis indicated that significant NTL changes are apparent in the poverty-stricken counties, as demonstrated by their four poverty alleviation paths including infrastructure poverty alleviation, characteristic industry poverty alleviation, asset income poverty alleviation (photovoltaic poverty alleviation), and relocation poverty alleviation. However, the poverty reduction effect of poverty-stricken counties that take ecological compensation poverty alleviation, social guarantee poverty alleviation, and agricultural industry poverty alleviation as the leading poverty reduction methods are difficult to reflect in the NTL. © 2024 Science Press. All rights reserved.
Keyword ：
Concentration (process) Concentration (process) Developing countries Developing countries Disasters Disasters
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| GB/T 7714 | Hua, Jing , Wu, Bin , Chen, Zuoqi et al. Spatiotemporal variations in nighttime lights in poverty-stricken counties in China [J]. | National Remote Sensing Bulletin , 2024 , 28 (4) : 940-955 . |
| MLA | Hua, Jing et al. "Spatiotemporal variations in nighttime lights in poverty-stricken counties in China" . | National Remote Sensing Bulletin 28 . 4 (2024) : 940-955 . |
| APA | Hua, Jing , Wu, Bin , Chen, Zuoqi , Yang, Chengshu , Tang, Xi , Sun, Feiran et al. Spatiotemporal variations in nighttime lights in poverty-stricken counties in China . | National Remote Sensing Bulletin , 2024 , 28 (4) , 940-955 . |
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新疆维吾尔自治区（以下简称“新疆”）作为中国西部战略屏障和向西开放的重要窗口，评估其城市化发展状况对于全国改革发展大局和“一带一路”倡议具有重要意义。相较于传统研究，夜间灯光遥感已被证明能够对人类活动强度和地区综合发展水平进行更客观、空间尺度更灵活、覆盖范围更广的监测。因此，本文利用2000年—2020年长时序夜间灯光遥感数据，采用标准差椭圆、时间序列分解以及夜间灯光发展指数等方法，从空间格局与时序演化上综合分析了21世纪以来新疆城市化进程。结果显示，2000年—2020年新疆城市化发展整体呈现向西南方向扩张的趋势，南疆地区发展速度强劲；21世纪以来新疆城市化演化过程可分为缓慢发展期（2007年之前）、波动增长期（2008年—2014年）和加速上升期（2015年之后） 3个阶段；新疆城镇地区及大部分地市的社会发展愈趋均衡，而乡村地区仍处于快速发展的差异化阶段。总体而言，21世纪以来新疆城市化进程处于快速且均衡发展的状态。
Keyword ：
城市化演化 城市化演化 夜间灯光发展指数 夜间灯光发展指数 夜间灯光遥感 夜间灯光遥感 新疆维吾尔自治区 新疆维吾尔自治区 时间序列分解 时间序列分解
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| GB/T 7714 | 刘少阳 , 陈佐旗 , 施开放 et al. 夜间灯光遥感揭示21世纪以来中国西北部地区城市化演化格局与过程 [J]. | 遥感学报 , 2024 , 28 (06) : 1497-1514 . |
| MLA | 刘少阳 et al. "夜间灯光遥感揭示21世纪以来中国西北部地区城市化演化格局与过程" . | 遥感学报 28 . 06 (2024) : 1497-1514 . |
| APA | 刘少阳 , 陈佐旗 , 施开放 , 吴宾 , 魏冶 , 王丛笑 et al. 夜间灯光遥感揭示21世纪以来中国西北部地区城市化演化格局与过程 . | 遥感学报 , 2024 , 28 (06) , 1497-1514 . |
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Urban built-up areas are the main space carrier of population and urban activities. It is of great significance to accurately identify urban built-up area for monitoring urbanization dynamics and their impact on Sustainable Development Goals. Using only nighttime light (NTL) remote sensing data will lead to omission phenomena in urban built-up area extraction, especially for SDGSAT-1 glimmer imager (GLI) data with high spatial resolution. Therefore, this study proposed a novel nighttime Lights integrate Building Volume (LitBV) index by integrating NTL intensity information from SDGSAT-1 GLI data and building volume information from Digital Surface Model (DSM) data to extract built-up areas more accurately. The results indicated that the LitBV index achieved remarkable results in the extraction of built-up areas, with the overall accuracy of 81.25%. The accuracy of the built-up area extraction based on the LitBV index is better than the results based on only NTL data and only building volume. Moreover, experiments at different spatial resolutions (10 m, 100 m, and 500 m) and different types of NTL data (SDGSAT-1 GLI data, Luojia-1 data, and NASA's Black Marble data) showed that the LitBV index can significantly improve the extraction accuracy of built-up areas. The LitBV index has a good application ability and prospect for extracting built-up areas with high-resolution SDGSAT-1 GLI data.
Keyword ：
building volume building volume built-up area built-up area nighttime light remote sensing nighttime light remote sensing SDGSAT-1 SDGSAT-1 sustainable development goals sustainable development goals
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| GB/T 7714 | Liu, Shaoyang , Wang, Congxiao , Wu, Bin et al. Integrating NTL Intensity and Building Volume to Improve the Built-Up Areas' Extraction from SDGSAT-1 GLI Data [J]. | REMOTE SENSING , 2024 , 16 (13) . |
| MLA | Liu, Shaoyang et al. "Integrating NTL Intensity and Building Volume to Improve the Built-Up Areas' Extraction from SDGSAT-1 GLI Data" . | REMOTE SENSING 16 . 13 (2024) . |
| APA | Liu, Shaoyang , Wang, Congxiao , Wu, Bin , Chen, Zuoqi , Zhang, Jiarui , Huang, Yan et al. Integrating NTL Intensity and Building Volume to Improve the Built-Up Areas' Extraction from SDGSAT-1 GLI Data . | REMOTE SENSING , 2024 , 16 (13) . |
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2020年是中国全面打赢脱贫攻坚战的收官之年。合理评估减贫效果是当前验收工作的重点，并对探索解决相对贫困的长效机制具有重要意义。本文通过生产精准扶贫阶段（2014年—2020年NPP-VIIRS）夜间灯光遥感年合成数据，构建县域夜间灯光指数和变化指数，分别探讨了中国831个国家级贫困县和14个集中连片特困区的减贫效果。结果表明：2014年以来中国大部分贫困县的经济水平得到显著提高，减贫效果突出；仍有108个贫困县夜间灯光强度呈现负增长趋势，主要位于西部地区的集中连片特困区交界处，西部地区内部出现南北发展不平衡现象；14个集中连片特困地区的夜间灯光亮度变化呈现出基数小增速快（Ⅰ型）、基数大增速快（Ⅱ型）、基数大增速慢（Ⅲ型）和基数小增速慢（Ⅳ型） 4种类型，且在集中连片特困区交界处和省级行政边界交汇处呈现高高集聚和低低制约的空间分布格局，交界处的贫困县易被边缘化。进一步分析表明，实施基础设施扶贫、特色产业扶贫、资产收益扶贫（光伏扶贫）、易地搬迁扶贫这4类脱贫路径的贫困县夜间灯光变化明显。
Keyword ：
NPP-VIIRS NPP-VIIRS 减贫效果 减贫效果 国家级贫困县 国家级贫困县 夜间灯光 夜间灯光 时空变化 时空变化 集中连片特困地区 集中连片特困地区
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| GB/T 7714 | 华婧 , 吴宾 , 陈佐旗 et al. 精准扶贫背景下中国贫困县的夜间灯光时空变化分析 [J]. | 遥感学报 , 2024 , 28 (04) : 940-955 . |
| MLA | 华婧 et al. "精准扶贫背景下中国贫困县的夜间灯光时空变化分析" . | 遥感学报 28 . 04 (2024) : 940-955 . |
| APA | 华婧 , 吴宾 , 陈佐旗 , 杨成术 , 唐曦 , 孙斐然 et al. 精准扶贫背景下中国贫困县的夜间灯光时空变化分析 . | 遥感学报 , 2024 , 28 (04) , 940-955 . |
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Green roof installations and photovoltaic (PV) systems are widely employed roof retrofits that aid cities in mitigating climate change impacts, while avoiding the need for increased land utilization. By integrating PV systems with vegetation on urban roofs, a photovoltaic-green (PV-Green) system can be achieved for multifunctional use of the roof space, thereby simultaneously achieving PV and greening benefits. However, current research solely based on one retrofit type cannot meet the requirement for assessing the multifunctional retrofit potential of urban roofs. In this study, an assessment method is proposed to identify and quantify the multiple retrofit potential of urban roofs by integrating roof attributes (slope, orientation, and area), roof type (gable or flat), solar attributes (radiation and irradiation duration), and biogeochemical simulation. Moreover, three roof retrofit scenarios, Scenario 1 (S1): maximization of PV-Green roofs, Scenario 2 (S2): maximization of PV economic benefits, and Scenario 3 (S3): maximization of public subjective well-being through roof greening, were designed to allocate the use of urban roof spaces and evaluate their respective potential power and carbon benefits at the city scale. Using Shanghai's downtown as an example, the results showed that 85,722 roofs (or 7310.86 ha) were available for multifunctional use. S1 revealed that applying PV-Green roofs can increase the additional green biomass by 0.74 x 107 kg C/yr compared to only installing PV roofs. Moreover, S1 produced the highest power output of 2.31 x 1010 kWh/yr to meet 15.4% of Shanghai's electricity demand. S2 identified 609 flat roofs and 70,527 gable roofs that were uneconomical for PV system installation. This indicated that the solar radiation received by most gable roofs was insufficient to cover the installation cost. S3 offered a biomass production of 1.48 x 107 kg C/yr and increased carbon stocks in Shanghai by 0.87%. This assessment method provides urban planners and policymakers with an analytical tool to optimize the use of urban roof spaces, thereby enhancing urban livability and sustainability.
Keyword ：
GIS GIS Green roof Green roof Photovoltaic-green roof Photovoltaic-green roof Potential area Potential area Retrofit scenario Retrofit scenario Roof retrofitting Roof retrofitting
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| GB/T 7714 | Pan, Zhan , Wang, Congxiao , Yu, Bailang et al. Assessing multifunctional retrofit potential of urban roof areas and evaluating the power and carbon benefits under efficient retrofit scenarios [J]. | JOURNAL OF CLEANER PRODUCTION , 2024 , 444 . |
| MLA | Pan, Zhan et al. "Assessing multifunctional retrofit potential of urban roof areas and evaluating the power and carbon benefits under efficient retrofit scenarios" . | JOURNAL OF CLEANER PRODUCTION 444 (2024) . |
| APA | Pan, Zhan , Wang, Congxiao , Yu, Bailang , Chen, Zuoqi , Yuan, Yuan , Li, Guorong et al. Assessing multifunctional retrofit potential of urban roof areas and evaluating the power and carbon benefits under efficient retrofit scenarios . | JOURNAL OF CLEANER PRODUCTION , 2024 , 444 . |
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Human activity plays a crucial role in influencing PM2.5 concentration and can be assessed through nighttime light remote sensing. Therefore, it is important to investigate whether the nighttime light brightness can enhance the accuracy of PM2.5 simulation in different stages. Utilizing PM2.5 mobile monitoring data, this study introduces nighttime lighting brightness as an additional factor in the PM2.5 simulation model across various time periods. It compares the differences in simulation accuracy, explores the impact of nocturnal human activities on PM2.5 concentrations at different periods of the following day, and analyzes the spatial and temporal pollution pattern of PM2.5 in urban functional areas. The results show that (1) the incorporation of nighttime lighting brightness effectively enhances the model's accuracy (R2), with an improvement ranging from 0.04 to 0.12 for different periods ranges. (2) the model's accuracy improves more prominently during 8:00-12:00 on the following day, and less so during 12:00-18:00, as the PM2.5 from human activities during the night experiences a strong aggregation effect in the morning of the next day, with the effect on PM2.5 concentration declining after diffusion until the afternoon. (3) PM2.5 is primarily concentrated in urban functional areas including construction sites, roads, and industrial areas during each period. But in the period of 8:00-12:00, there is a significant level of PM2.5 pollution observed in commercial and residential areas, due to the human activities that occurred the previous night.
Keyword ：
GWR-GBDT GWR-GBDT Mobile monitoring Mobile monitoring NPP-VIIRS NPP-VIIRS PM2.5 simulation PM2.5 simulation Spatiotemporal analysis Spatiotemporal analysis Urban functional areas Urban functional areas
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| GB/T 7714 | Li, Daichao , Xu, Fangnian , Chen, Zuoqi et al. Fine simulation of PM2.5 combined with NPP-VIIRS night light remote sensing and mobile monitoring data [J]. | SCIENCE OF THE TOTAL ENVIRONMENT , 2024 , 914 . |
| MLA | Li, Daichao et al. "Fine simulation of PM2.5 combined with NPP-VIIRS night light remote sensing and mobile monitoring data" . | SCIENCE OF THE TOTAL ENVIRONMENT 914 (2024) . |
| APA | Li, Daichao , Xu, Fangnian , Chen, Zuoqi , Xie, Xiaowei , Fan, Kunkun , Zeng, Zhan . Fine simulation of PM2.5 combined with NPP-VIIRS night light remote sensing and mobile monitoring data . | SCIENCE OF THE TOTAL ENVIRONMENT , 2024 , 914 . |
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Nighttime Light (NTL) is highly concentrated in China ' s coastal zone, leading to negative health impacts on both humans and wildlife. Particularly, in recent years, the widespread adoption of broad-spectrum Light -Emitting Diode (LED) light, a low -carbon technology providing substantial increases in luminosity, has led to certain ecological consequences. Thus, information regarding spatial distribution and composition of different NTL types is essential for formulating sustainable strategies that balance nighttime public security, energy consumption, and ecosystem conservation. However, the availability of such information remains limited. To address this challenge and meet the demand, we developed two new light indices, namely the Ratio Red Light Index (RRLI) and Ratio Blue Light Index (RBLI), based on SDGSAT-1 Glimmer Imager (GLI) multispectral NTL data. We then proposed a threshold method and applied it to the entire coastal zone of China to identify White LED (WLED), Red LED (RLED), and Other lights (Other). Results showed the following. (1) In the coastal zone of China, the total lighting area was 20,517 km 2 , including 20,257 km 2 of terrestrial lights and 260 km 2 of offshore lights; (2) WLED light covered 67% (13,727 km 2 ) of all lighting areas, while RLED lights accounted for only 1% (220 km 2 ); (3) Guangdong had the largest lighting area (5221 km 2 ), with the proportion of WLEDs being the highest among all coastal provinces (almost 90%); (4) The proportions of lighting areas were relatively low in Guangxi, Liaoning, and Hebei. This study represents the first attempt to identify NTL types over large regions at a finer spatial resolution. The approach proposed, including the light indices of RRLI and RBLI, as well as the defined thresholds, is universal and robust for use in NTL type classification. The developed lighting type map, containing comprehensive information on the spatial distribution and composition of NTL, could facilitate the sustainable management of China ' s coastal zones.
Keyword ：
China 's coastal zone China 's coastal zone Light -emitting diode (LED) Light -emitting diode (LED) Light index Light index Nighttime light (NTL) Nighttime light (NTL) SDGSAT-1 GLI SDGSAT-1 GLI
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| GB/T 7714 | Jia, Mingming , Zeng, Haihang , Chen, Zuoqi et al. Nighttime light in China's coastal zone: The type classification approach using SDGSAT-1 Glimmer Imager [J]. | REMOTE SENSING OF ENVIRONMENT , 2024 , 305 . |
| MLA | Jia, Mingming et al. "Nighttime light in China's coastal zone: The type classification approach using SDGSAT-1 Glimmer Imager" . | REMOTE SENSING OF ENVIRONMENT 305 (2024) . |
| APA | Jia, Mingming , Zeng, Haihang , Chen, Zuoqi , Wang, Zongming , Ren, Chunying , Mao, Dehua et al. Nighttime light in China's coastal zone: The type classification approach using SDGSAT-1 Glimmer Imager . | REMOTE SENSING OF ENVIRONMENT , 2024 , 305 . |
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