Journal of Applied Sciences ›› 2020, Vol. 38 ›› Issue (3): 466-477.doi: 10.3969/j.issn.0255-8297.2020.03.012
• Signal and Information Processing • Previous Articles Next Articles
ZHANG Yuxin1, LI Xi1, SONG Yang2, LI Changhui2
Received:
2019-11-01
Online:
2020-05-31
Published:
2020-06-11
CLC Number:
ZHANG Yuxin, LI Xi, SONG Yang, LI Changhui. Urban Spatial Form Analysis of GBA Based on “LJ1-01” Nighttime Light Remote Sensing Images[J]. Journal of Applied Sciences, 2020, 38(3): 466-477.
[1] 庞前聪.大湾区城市群空间协同策略研究——基于珠海与粤港澳大湾区互动的视角[J].城市发展研究,2019, 26(7):50-58. Pang Q C. The strategy research of urban agglomeration spatial collaboration on the greater bay area:based on the interaction between Zhuhai and Hong Kong-Zhuhai-Macao bay area[J]. Urban Development, 2019, 26(7):50-58.(in Chinese) [2] 梁经伟,毛艳华,江鸿泽.影响粤港澳大湾区城市群经济发展的因素研究[J].经济问题探索, 2018(5):90-99. Liang J W, Mao Y H, Jiang H Z. Research on the factors influencing the economic development of regional urban agglomeration in Guangdong, Hong Kong and Macao[J]. Inquiry Into Economic Issues, 2018(5):90-99.(in Chinese) [3] 陈章喜,吴振帮.粤港澳大湾区城市群土地利用结构与效率评价[J].城市问题,2019(4):29-35 Chen Z X, Wu Z B. Land use structure and land use efficiency evaluation on GuangdongHong Kong-Macao greater bay area urban agglomeration[J]. Urban Problems, 2019(4):29-35(in Chinese) [4] 汪行东.粤港澳大湾区城市群空间整合分析与展望[J].广东行政学院学报,2019, 31(2):76-86. Wang X D. Outlook and analyses on the spacial integration of Guangdong-Hong Kong-Macao greater bay agglomeration[J]. Journal of Guangdong Administration College, 2019, 31(2):76-86.(in Chinese) [5] 李郇,周金苗,黄耀福,等.从巨型城市区域视角审视粤港澳大湾区空间结构[J].地理科学进展,2018, 37(12):1609-1622. Li X, Zhou J M, Huang Y F, et al. Understanding the Guangdong-Hong Kong-Macao greater bay area from the perspective of mega-city region[J]. Progress in Geography, 2018, 37(12):1609-1622.(in Chinese) [6] 邱坚坚,刘毅华,陈浩然,等.流空间视角下的粤港澳大湾区空间网络格局——基于信息流与交通流的对比分析[J].经济地理,2019, 39(6):7-15. Qiu J J, Liu Y H, Chen H R, et al. Urban network structure of Guangdong-Hong Kong-Macao greater bay area with the view of space of flow[J]. Economic Geography, 2019, 39(6):7-15.(in Chinese) [7] 陈世栋.粤港澳大湾区要素流动空间特征及国际对接路径研究[J].华南师范大学学报(社会科学版),2018(2):27-32. Chen S D. Research on the spatial characteristics of factor flow and its international integration Path in Guangdong-Hong Kong-Macao bay area[J]. Journal of South China Normal University (Social Science Edition), 2018(2):27-32.(in Chinese) [8] 武文霞.粤港澳大湾区城市群协同发展路径探讨[J].江淮论坛,2019(4):29-34. Wu W X. Discussion on the path of coordinated development of urban agglomerations in Guangdong-Hong Kong-Macao greater bay area[J]. JAC Forum, 2019(4):29-34.(in Chinese) [9] 徐芳燕,方译.粤港澳大湾区城市群空间结构与经济绩效研究[J].吉林工商学院学报,2018, 34(3):5-13. Xu F Y, Fang Y. A study on spatial structure and economic performance of Guangdong-Hong Kong-Macau greater bay area urban agglomeration[J]. Journal of Jilin Institute of Business and Technology, 2018, 34(3):5-13.(in Chinese) [10] 杨智威,陈颖彪,吴志峰,等.粤港澳大湾区城市热岛空间格局及影响因子多元建模[J].资源科学,2019, 41(6):1154-1166. Yang Z W, Chen Y B, Wu Z F, et al. Spatial pattern of urban heat island and multivariate modeling of impact factors in the Guangdong-Hong Kong-Macao greater bay area[J]. Resources Science, 2019, 41(6):1154-1166.(in Chinese) [11] 林媚珍,周汝波,钟亮.基于景观格局变化的粤港澳大湾区生态系统服务变化研究[J].广州大学学报(自然科学版),2019, 18(2):87-95. Lin M Z, Zhou R B, Zhong L. Research on the changes of ecosystem services in GuangdongHong Kong-Macao greater bay area based on the change of landscape pattern[J]. Journal of Guangzhou University (Natural Science Edition), 2019, 18(2):87-95.(in Chinese) [12] 国务院.粤港澳大湾区发展规划纲要[EB/OL]. 2019-02-18[2019-11-01]. http://www.gov.cn/gongbao/content/2019/content_5370836.htm [13] 司长强,黄奕.粤港澳大湾区文化产业发展的环境、策略及价值[J].特区经济,2019(8):26-30. Si C Q, Huang Y. Environment, strategy and value of cultural industry development in Dawan District of Guangdong, Hong Kong and Macao[J]. Special Zone Economy, 2019(8):26-30.(in Chinese) [14] 李德仁,李熙.论夜光遥感数据挖掘[J].测绘学报,2015, 44(6):591-601. Li D R, Li X. An overview on data mining of nighttime light remote sensing[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(6):591-601.(in Chinese) [15] 李德仁,余涵若,李熙.基于夜光遥感影像的"一带一路"沿线国家城市发展时空格局分析[J].武汉大学学报(信息科学版),2017, 42(6):711-720. Li D R, Yu H R, Li X. The spatial-temporal pattern analysis of city development in countries along the belt and road initiative based on nighttime light data[J]. Geomatics and Information Science of Wuhan University, 2017, 42(6):711-720.(in Chinese) [16] Elvidge C D, Baugh K E, Dietz J B, et al. Radiance calibration of DMSP-OLS low-light imaging data of human settlements[J]. Remote Sensing of Environment, 1999, 68(1):77-88. [17] Elvidge C D, Imhoff M L, Baugh K E, et al. Nighttime lights of the world:1994-1995[J]. Journal of Photogrammetry and Remote Sensing, 2001, 56(2):81-99. [18] Elvidge C D, Baugh K, Zhizhin M, et al. VIIRS nighttime lights[J]. International Journal of Remote Sensing, 2017, 38(21):5860-5879. [19] Miller S D, Mills S P, Elvidge C D, et al. Suomi satellite brings to light a unique frontier of nighttime environmental sensing capabilities[J]. Proceedings of the National Academy of Sciences of the United States of America, 2012, 109(39):15706-15711. [20] Liu X P, Hu G H, Ai B, et al. A normalized urban areas composite index (NUACI) based on combination of DMSP-OLS and MODIS for mapping impervious surface area[J]. Remote Sensing, 2015, 7(12):17168-17189. [21] Li X C, Zhou Y Y. Urban mapping using DMSP/OLS stable nighttime light:a review[J]. International Journal of Remote Sensing, 2017, 38(21):6030-6040. [22] Li X, Li X Y, Li D R, et al. A preliminary investigation of Luojia-1 nighttime light imagery[J]. Remote Sensing Letters, 2019, 10(6):526-535. [23] Li X, Liu Z M, Chen X L, et al. Assessing the ability of Luojia 1-01 imagery to detect feeble nighttime lights[J]. Sensors, 2019, 19(17):3708. [24] Zhang G, Guo X Y, Li D R, et al. Evaluating the potential of LJ1-01 nighttime light data for modeling socio-economic parameters[J]. Sensors, 2019, 19(6):1465. [25] Li C, Zou L Q, Wu Y J, et al. Potentiality of using Luojia1-01 nighttime light imagery to estimate urban community housing price-a case study in Wuhan, China[J]. Sensors, 2019, 19(14):3617. [26] Li X, Zhao L X, Li D R, et al. Mapping urban extent using Luojia 1-01 nighttime light imagery[J]. Sensors, 2018, 18(11):3665. [27] 何春阳,史培军,李景刚,等.基于DMSP/OLS夜间灯光数据和统计数据的中国大陆20世纪90年代城市化空间过程重建研究[J].科学通报,2006(7):856-861. He C Y, Shi P J, Li J G, et al. Research on urbanization space process reconstruction in mainland China in the 1990s based on DMSP/OLS nighttime light data and statistical data[J]. Chinese Science Bulletin, 2006(7):856-861.(in Chinese) [28] Xie Y H, Weng Q H. Updating urban extents with nighttime light imagery by using an object-based thresholding method[J]. Remote Sensing of Environment, 2016, 187:1-13. [29] Li K N, Chen Y H. A genetic algorithm-based urban cluster automatic threshold method by combining VIIRS DNB, NDVI, and NDBI to monitor urbanization[J]. Remote Sensing, 2018, 10(2):277. [30] Ma W T, Li P J. An object similarity-based thresholding method for urban area mapping from visible infrared imaging radiometer suite day/night band (VIIRS DNB) data[J]. Remote Sensing, 2018, 10(2):263. [31] Zhou Y Y, Smith S J, Elvidge C D, et al. A cluster-based method to map urban area from DMSP/OLS nightlights[J] Remote Sensing of Environment, 2014, 147:173-185. [32] Lu D S, Tian H Q, Zhou G M, et al. Regional mapping of human settlements in southeastern China with multisensor remotely sensed data[J]. Remote Sensing of Environment, 2008, 112(9):3668-3679. [33] Zhang Q L, Schaaf C, Seto K C. The vegetation adjusted NTL urban index:a new approach to reduce saturation and increase variation in nighttime luminosity[J]. Remote Sensing of Environment, 2013, 129:32-41. [34] 汤佳. 2008-2016年南昌市景观时空演变特征及驱动力分析[J].环境监测管理与技术,2019, 31(5):16-20. Tang J. Analysis of temporal and spatial characteristics and driving forces of landscape change in Nanchang from 2008 to 2016[J]. The Administration and Technique of Environmental Monitoring, 2019, 31(5):16-20.(in Chinese) [35] 黄梦娜,马廷.中国道路网引起的景观破碎格局及其对保护区的影响[J].地球信息科学学报,2019, 21(8):1183-1195. Huang M N, Ma T. Assessing the impacts of China's road network on landscape fragmentation and protected areas[J]. Geo-Information Science, 2019, 21(8):1183-1195.(in Chinese) |
[1] | GAO Hua, WANG Anbang, WANG Yuncai. Progress in High-Speed Classical Physical Key Distribution Techniques [J]. Journal of Applied Sciences, 2020, 38(4): 507-519. |
[2] | WANG Jian, CHEN Shi. Progress in Vortex-Multiplexed Communications Based on Conventional Fibers [J]. Journal of Applied Sciences, 2020, 38(4): 559-578. |
[3] | SHE Shengfei, MEI Lin, ZHOU Zhenyu, HOU Chaoqi, GUO Haitao. Progress in Radiation-Resistant Erbium-Doped and Erbium-Ytterbium Co-doped Fibers for Space Optical Communication [J]. Journal of Applied Sciences, 2020, 38(4): 579-594. |
[4] | QIAO Lijun, YANG Qiang, CHAI Mengmeng, WEI Xiaojing, ZHANG Jianzhong, XU Hongchun, ZHANG Mingjiang. Progress in Chaotic Semiconductor Lasers [J]. Journal of Applied Sciences, 2020, 38(4): 595-611. |
[5] | HAO Tengfei, SHI Nuannuan, LI Wei, ZHU Ninghua, LI Ming. Multi-band Linearly Frequency Modulated Fourier Domain Mode-Locked Optoelectronic Oscillator [J]. Journal of Applied Sciences, 2020, 38(4): 640-646. |
[6] | CHI Nan, NIU Wenqing, JIA Junlian, HA Yinaer. Anti-nonlinear Support Vector Machine Based Geometrically Shaping Visible Light Communication System [J]. Journal of Applied Sciences, 2020, 38(4): 647-658. |
[7] | WANG Mengxuan, ZHANG Sheng, WANG Yue, LEI Ting, DU Wen. Research and Application of Improved CRNN Model in Classification of Alarm Texts [J]. Journal of Applied Sciences, 2020, 38(3): 388-400. |
[8] | ZHAO Chunliu, LI Jiali, XU Ben, GONG Huaping, WANG Dongning. Research Progress of Fiber Micro Cavity Fabry-Perot Interference Sensors [J]. Journal of Applied Sciences, 2020, 38(2): 226-259. |
[9] | GENG Youfu, LI Xuejin. Research on Temperature Sensors Based on Microstructured Fiber [J]. Journal of Applied Sciences, 2020, 38(2): 260-278. |
[10] | CHEN Jiageng, LIU Qingwen, ZHAO Shuangxiang, He Zuyuan. Progress in High Resolution Demodulation Techniquesfor Wavelength-Encoded Optical Fiber Sensor [J]. Journal of Applied Sciences, 2020, 38(2): 279-295. |
[11] | ZHAO Yunhe, LIU Yunqi. Few-Mode Fiber Long-Period Gratings—From Mode Conversion to High Sensitivity Fiber-Optic Sensing [J]. Journal of Applied Sciences, 2020, 38(2): 310-338. |
[12] | YANG Yanan, LI Yiming, NIE Lihai, ZHANG Ning, ZHAO Laiping. Cost-Efficient Task Scheduling in Geo-distributed Datacenters [J]. Journal of Applied Sciences, 2019, 37(6): 859-874. |
[13] | LIU Yangyi, SU Chengli, SHI Huiyuan, LI Ping, BO Guihua. Wireless Temperature Control System for High Temperature Heating Furnace Based on PFC-PID Algorithm [J]. Journal of Applied Sciences, 2019, 37(6): 875-886. |
[14] | LI Songbin, YANG Jie, LIU Peng, WANG Lingrui. Steganalysis of Motion Vector-Based Steganography in H.264/AVC by Correlation Network Model [J]. Journal of Applied Sciences, 2019, 37(5): 663-672. |
[15] | WANG Jingwei, WU Shaohua, QU Zhiguo. CFMoment: Closed Frequent Itemsets Mining Based on Data Stream [J]. Journal of Applied Sciences, 2019, 37(3): 389-397. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||