学术成果

1，书籍
2020, 张孝成，贺灿飞，刘燕，赵耀龙，王桂林，王锐等著，村镇区域空间规划与土地利用优化关键技术研究，北京：中国大地出版社
2015, 赵耀龙，易红，郑春燕，李长辉，宋涛，曾桂香编著，地图学基础，北京：科学出版社
2012, Zhao Yaolong, Chapter 4 and 15, Progress in Geospatial Analysis, Murayama, Yuji (Ed.), Springer Press. 291p.
2012, 张洪，车学文，赵耀龙，孟春林，金杰编著城市土地供给与耕地保护监管――理论、模型和系统. 昆明：云南科技出版社
2011, Zhao Yaolong, Chapters 2，4, 5, and 10. Spatial Analysis and Modeling in Geographical Transformation Process, Murayama, Yuji; Thapa, Rajesh Bahadur (Eds.), Springer Press

2，近几年专业学术论文（*为通讯作者）
2024，Fang Subin, Zhao Yaolong*, Liu Xinxin, Yang Yao. Quantitative characteristics and influencing factors of Tibetan Buddhist religious space with monasteries as the carrier: a case study of U-Tsang, China. Heritage Science. 12: 93, https://doi.org/10.1186/s40494-024-01208-2 (AHCI, SSCI)
2024, Chao Zihao, Zhao Yaolong*, Fang Subin, Chen Danying. Spatial diffusion processes of Gelugpa monasteries of Tibetan Buddhism in Tibetan areas of China utilizing the multi-level diffusion model. Geo-spatial Information Science. 27(1): 64-81, https://doi.org/10.1080/10095020.2022.2108345 (SCI)
2024, Ke Entong, Zhao Juchao, Zhao Yaolong*, Wu Jiazhe, Xu Tao. Coupled and collaborative optimization model of impervious surfaces and drainage systems from the flooding mitigation perspective for urban renewal, Science of the Total Environment, Volume 917, 20 March 2024, 170202 (SCI)
2024, Zhao Juchao, Zhang Chunbo, Wangjin, Abbs Zaheer, Zhao Yaolong*. Machine learning and SHAP-based susceptibility assessment of storm flood in rapidly urbanizing areas: a case study of Shenzhen, China, Geomatics, Natural Hazards and Risk, 15(1): 2311889 (SCI)
2024, Chen Danying, Zhao Yaolong*, Chao Zihao, Li Yuchen, Fang Subin. Constructing a digital system of historical geographic information from the perspective of digital humanities: a case study of the historical geographic information database of Tibetan Buddhist monasteries, Digital Scholarship in the Humanities, 2024, fqad103, https://doi.org/10.1093/llc/fqad103 (SSCI, AHCI)
2024, Zhao Juchao, Ke Entong, Wang Bin, Zhao Yaolong*. An optimization model for the impervious surface spatial layout considering differences in hydrological unit conditions for urban waterlogging prevention in urban renewal. Ecological Indicators. 2024(158): 111546 (SCI)
2023, Zhao Juchao, Wang Jin, Abbas Zaheer, Yang Yao and Zhao Yaolong*. Ensemble learning analysis of influencing factors on the distribution of urban flood risk points: a case study of Guangzhou, China. Frontiers in Earth Science. 2023(11) ：1042088. doi: 10.3389/feart.2023.1042088 （SCI）
2023, Zhang Chunbo, Xu Tao, Wang Teng and Zhao Yaolong*. Spatial-temporal evolution of influencing mechanism of urban flooding in the Guangdong Hong Kong Macao greater bay area, China. Frontiers in Earth Science. 2023(10) ：1113997. doi: 10.3389/feart.2022.1113997 (SCI)
2022, Li Le, Zheng Siyan, Zhao Kefei, Shen Kejian, Yan Xiaolu, Zhao Yaolong. The quantitative impact of the arable land protection policy on the landscape of farmland abandonment in Guangdong Province. Remote Sensing, 2022, 14, 4991. https://doi.org/10.3390/rs14194991 (SCI)
2022, Fang Subin, Zhao Yaolong*, Chao Zihao, Kang Xinyi. Spatial distribution characteristics and influencing factors of Tibetan Buddhist Monasteries in Amdo Tibetan inhabited regions, China. Journal of Geovisualization and Spatial Analysis, 6, 29 (2022). https://doi.org/10.1007/s41651-022-00124-y (EI, ESCI)
2022, Li Yuchen, Abbas Zaheer, Chen Danying, Zhu Ziyang, Guo Haijing and Zhao Yalong*. The eco-environmental changes in typical coastal zones of southern China from 1987 to 2020: a case study of Guangdong coastal counties. Frontiers in Environmental Science. (10): 874364. doi: 10.3389/fenvs.2022.874364 (SCI)
2022, Zaheer Abbas, Zhu Ziyang, Zhao Yaolong*. Spatiotemporal analysis of landscape pattern and structure in the Greater Bay Area, China. Earth Science Informatics. 2022(3). https://doi.org/10.1007/s12145-022-00782-y (SCI)
2022, Li Bin, Liu Yefei, Xing Hanfa, Meng Yuan, Yang Guang, Liu Xiaoding, Zhao, Yaolong*. Integrating urban morphology and land surface temperature characteristics for urban functional area classification. Geo-Spatial Information Science. 2022(1), DOI: 10.1080/10095020.2021.2021786 (SCI)
2022, Wang Jin, Zhao, Yaolong*, Fu Yingchun, Xia Lili, Chen Jinson. Improving LSMA for impervious surface estimation in an urban area. European Journal of Remote Sensing. 55(1): 37-51（SCI）
2022, Chao, Zihao, Zhao, Yaolong*, Liu, Guilin. Multi-scale spatial patterns of Gelugpa monasteries of Tibetan Buddhism in Tibetan Inhabited Regions, China. GeoJournal 87, 4289–4310 (2022). https://doi.org/10.1007/s10708-021-10501-7 (ESCI, EI)
2021, Di Kai, Hu Zhongmin, Wang Mei, Cao Ruochen, Liang Minqi, Wu Genan, Chen Ruru, Hao Guancun, Zhao Yaolong. Recent greening of grasslands in northern China driven by increasing precipitation. Journal of Plant Ecology.14(5):843-853（SCI）
2021, Zaheer Abbas, Yang Guang, Zhong Yuanjun, Zhao Yaolong. Spatiotemporal Change Analysis and Future Scenario of LULC Using the CA-ANN Approach: A Case Study of the Greater Bay Area, China. Land, 10(6), 584; https://doi.org/10.3390/land10060584 (SSCI)
2021, Yu Huafei, Zhao Yaolong*, Xu Tao, Li Jiufeng, Tang Xianzhe, Wang Fangfang, Fu Yingchun. A high-efficiency global model of optimization design of impervious surfaces for alleviating urban waterlogging in urban renewal. Transactions in GIS, 25 (4): 1716-1740 https://doi.org/10.1111/tgis.12757 (SSCI)
2021, Liu Fan, Liu Xiaoding, Xu Tao, Yang Gang, Zhao Yaolong*. Driving Factors and Risk Assessment of Rainstorm Waterlogging in Urban Agglomeration Areas: A Case Study of the Guangdong-Hong Kong-Macao Greater Bay Area, China. Water. 13(6):770. https://doi.org/10.3390/w13060770 (SCI)
2020, Yang Guang, Fang Shenghui, Gong Wenbing, Zhao Yaolong, Ge Mengyu. Evaluating the reliability of time series land cover maps by exploiting the hidden Markov model. Stochastic Environmental Research and Risk Assessment, https://doi.org/10.1007/s00477-020-01915-9（SCI）
2020, Liu Fan, Zhao Yaolong*, Rizwan Muhammad, Xiaoding Liu, Mingqiang Chen. Impervious surface expansion: A key indicator for environment and urban agglomeration—a case study of guangdong-hong kong-macao greater bay area by using landsat data. Journal of Sensors. Vol. 2020, Article ID 3896589, 21pages (SCI)
2020, Li Jiufeng, Wang Fangfang, Fu Yingchun, Guo Biyun, Zhao Yaolong, Yu Huafei. A Novel SUHI Referenced Estimation Method for Multicenters Urban Agglomeration using DMSPOLS Nighttime Light Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 13, pp. 1416-1425 (SCI)
2020, Yang Guang, Zhao Yaolong*, Xing Hanfa, Fu Yingchun, Liu Guilin, Kang Xinyi, Mai Xin. Understanding the changes in spatial fairness of urban greenery using time-series remote sensing images: A case study of Guangdong-Hong Kong-Macao Greater Bay. Science of the Total Environment, Volume 715, 1 May 2020, 136763 (SCI)
2019，Li Le, Ao Zurui, Zhao Yaolong, Liu Xulong. Impacts of Rapid Socioeconomic Development on Cropping Intensity Dynamics in China during 2001–2016. ISPRS International Journal of Geo-Information. 8(11), 519 (SCI)
2019, Yu Huafei, Zhao Yaolong*, Fu Yingchun. Optimization of impervious surface space layout for prevention of urban rainstorm waterlogging: a case study of Guangzhou, China. International Journal of Environmental Research and Public Health. 16(19), 3613. (SSCI, SCI)
2019，Rizwan Muhammad, Zhao Yaolong*, Liu Fan. Spatiotemporal analysis to observe gender based check-in behavior by using social media big data: A case study of Guangzhou, China. Sustainability, 2019, 11: 2822. (SSCI, SCI)
2019, Yang Guang, Zhao Yaolong*, Li Baoxin, Ma Yuntao, Li Ruren, Jing Jiangbo, Dian Yuanyong. Tree species classification by employing multiple features acquired from integrated sensors. Journal of Sensors, Vol. 2019, Article ID 3247946, 12 pages. (SCI)
2018，Yu Huafei, Zhao Yaolong*, Fu Yingchun, Li Le. Spatiotemporal variance assessment of urban
rainstorm waterlogging affected by impervious surface expansion: a case study of Guangzhou, China. Sustainability, 2018, 10(10): 3761. (SSCI, SCI)
2018, Li Le, Zhao Yaolong, Fu Yingchun, Xin Qinchuan. Satellite-Based Models Need Improvements on Simulating Annual Gross Primary Productivity: A Comparison of Six Models for Regional Modeling of Deciduous Broadleaf Forests. Remote Sensing, 2018, 10(7), 1008. (SCI)
2018, Tan Xianzhe, Shu Yuqin, Lian Yanqing, Zhao Yaolong, Fu Yingchun. A spatial assessment of urban waterlogging risk based on a Weighted Naïve Bayes classifier. Science of the Total Environment, 630(2018), 264-274. (SCI)
2017, Li Le, Zhao Yaolong*, Fu Yingchun, Pan Yaozhong, Yu Le, Xin Qinchuan. High Resolution Mapping of Cropping Cycles byFusion of Landsat and MODIS Data. Remote Sensing, 2017, 9, 1232. (SCI)
2015, Jizhe Xia, Kevin M. Curtin, Weihong Li, and Yaolong Zhao. A New Model for a Carpool Matching Service. PLOS ONE, 10(6)：e0129257 （SCI）
2014, Fu Yingchun, Tang Congguo, Li Jun, Zhao Yaolong*, Zhong Wei, Zeng Xiantie. Sources and transport of organic carbon from the Dongjiang River to the Humen outlet of the Pearl, Journal of Geographical Sciences, 24(1), 143-158.（SCI）
2013, Fu Yingchun, Lu Xueyu, Zhao Yaolong*, Zeng Xiantie, Xia Lili. Assessment impacts of climate and LULC changes on urban carbon sequestration: a case study in Guangzhou, China. Remote Sensing, 5(8), 4125-4144（SCI）
2013, Fu Yingchun, Guo Taisheng, Zhao Yaolong. Effects of LUCC on Soil Organic Carbon Variations in the Dongjiang of the Pearl River Delta, China.2013. International Journal of Digital Content Technology and its Applications, 7(2), 731-739
2013, Fu Yingchun, Zhao Yaolong, Zhang Yongrui, Guo Taisheng, He Ziwei, Chen Jingyi. GIS and ANN-based spatial prediction of DOC in river networks: a case study in Dongjiang, Southern China. Environmental Earth Sciences, 68(5): 1495-1505 (SCI)
2012, Zhao Yaolong, Zhang Ke, Fu Yingchun, and Zhang Hong. Examining land-use/land-cover change in the Lake Dianchi watershed of the Yunnan-Guizhou plateau of southwest China with remote sensing and GIS techniques: 1974–2008. International Journal of Environmental Research and Public Health. 9(11), 3843-3865. (SCI)
2012, Zhang Ke, Zhao Yaolong* and Zhang Hong. Monitoring land use/land cover changes of Kunming city based on remote sensing technology and spatial metrics. IEEE GeoInformatics 2012, 1-5.（EI）
2011, Zhao Yaolong, Cui Bingliang and Murayama Yuji. Characteristics of neighborhood interaction in urban land-use changes: a comparative study between three metropolitan areas of Japan. Journal of Geographical Sciences, 21(1), 65-78.（SCI）
2010, Zhao Yaolong. “One Map”-based land information system. IEEE 2010 International Conference on E-Business and E-Government, 687-690. （EI）
2010, Zhao Yaolong, Dong Fei and Zhang Hong. Should neighborhood effect be stable in urban geosimulation model? A case study of Tokyo. Lecture Notes in Computer Science, 6016, 134-143. （EI）
2009, Li Yan, Zhao Yaolong* and Gui Renyi. Spatio-temporal analysis of farmland change in Yunnan province: 1996-2008. In: Wu G., Deng J., Lei Y. and Wan L. eds., Life, Environment and Energy. Geological Publishing House, 56-61.
2009, Zhang Xiaoling, Zhao Yaolong and Zhu Lanyan. Intensive use of Kunming urban land at macro scale, Yunnan province. In: Wu G., Deng J., Lei Y. and Wan L. eds., Life, Environment and Energy. Geological Publishing House, 532-538.
2009, Zhao Yaolong and Murayama Yuji. Characteristics of neighborhood interaction in urban growth: same for different areas? Urban Development, Planning and Governance in Globalization, IGU Urban Commission
2008, Zhao Yaolong，Junsan Zhao and Murayama Yuji. Modeling and predicting urban growth pattern of the Tokyo metropolitan area based on cellular automata. Proc. SPIE, Vol. 7143, 71431Q. （EI）
2007, Zhao Yaolong and Murayama Yuji. Urban growth in the Tokyo metropolitan area: Insight from urban form and landscape. In: Yan X. and Xue, D. eds., Urban Development, Planning and Governance in Globalization. IGU Urban Commission. Sun Yat-Sen University Press, 371-389.
2007, Zhao Yaolong and Murayama Yuji. A new method to model neighborhood interaction in Cellular Automata-based urban geosimulation. Lecture Notes in Computer Science, 4488, 550-557. （EI）
2006, Zhao Yaolong and Murayama Yuji. Urban dynamics analysis using spatial metrics: A case study of Yokohama city. Tsukuba Geoenvironmental Sciences, 2, 9-18.
2006, Zhao Yaolong and Murayama Yuji. Effect of spatial scale on urban land-use pattern analysis in different classification systems: An empirical study in the CBD of Tokyo. Theory and Applications of GIS, 14(1), 29-42.
2005, Zhao Yaolong, Murayama Yuji. Effect characteristics of spatial resolution on the analysis of urban land use pattern: a case study of CBD in Tokyo using spatial autocorrelation index. In: Murayama, Y. and Du, G.., eds., Cities in Global Perspective: Diversity and Transition. IGU Urban Commission, Tokyo, 585-594.
2005, Zhao Junsan, Zhao Yaolong, Zhao Qiaogui. The data center implementation of land and resources information management in provincial level. In: Murayama, Y. and Du, G.., eds., Cities in Global Perspective: Diversity and Transition. IGU Urban Commission, Tokyo, 559-567.
2005, Zhao Yaolong, Murayama Yuji, Zhang Yumin. Field-based fuzzy spatial reasoning model for Geographical Information Systems: Case of constraint satisfaction problem. Theory and Applications of GIS, 13(1), 21-31.
2023，肖建能，丁华祥，赵耀龙，温宥越. 粤西沿海地区农村宅基地演化空间特征分析--以茂名市电白区为例. 时空信息学报，30(04)：614-621.
2023，刘小丁，钟远军，赵耀龙，朱紫阳，杨尧，杨娜娜. 省级自然资源调查监测体系构建路径研究--以广东省为例. 热带地理，43(12)：2300-2310.
2023, 杨尧，赵耀龙*，刘小丁，钟远军，朱紫阳. 管理视角下自然资源统一调查监测模式. 自然资源学报，38(3)：808-821.
2022, 刘小丁，唐力明，李伊黎，许敏端，康昕怡，孙端，李宇宸，肖红，赵耀龙，陈伟莲，吕凤涛.基于知识图谱的近30年国际海岸带研究进展与热点分析. 测绘通报，2022(12)：153-159.
2022, 杨尧，赵耀龙*，王彬. "一联三生"体系下粤港澳大湾区智慧城市群的构建. 地球信息科学学报，24(6)：1073-1086.
2022，乐阳, 刘瑜, 陈云松, 贺力, 陈晨, 李文雯, 秦昆, 贾涛, 许刚, 王法辉, 王静远, 谢幸, 徐丰力, 徐阳, 苏世亮, 桂志鹏, 游兰, 张明达, 张丰, 张晓祥, 赵博, 赵耀龙, 周钰伦, 黄波, 曹凯. 空间和地理计算与计算社会学的融合路径. 武汉大学学报（信息科学版）, 47(1): 1-18. doi: 10.13203/j.whugis20210619
2022, 徐涛，朱紫阳，丁华祥，肖建能，赵耀龙*. 乡村振兴背景下广东省农村宅基地房屋特征, 热带地理，42(1)： 148-159.
2021, 陈明发，刘帆，赵耀龙*，杨光. 1987—2017年粤港澳大湾区城市群的不透水地表扩张与梯度演化, 地球信息科学学报，23(3)：443-455（EI）
2020, 赵耀龙，巢子豪. 历史GIS的研究现状和发展趋势. 地球信息科学学报，2020, 22(5): 929-944.
2020, 王彬，杨尧，赵耀龙*. 智慧城市的“灵魂”. 热带地貌，2020，41(2)：67-76.
2020, 刘帆，赵耀龙*，徐涛. 全生命周期浒苔信息提取的空间尺度效应——基于Landsat/HJ与MODIS影像的比较，昆明理工大学学报(自然科学版)，45（227）：41-49.
2019, 陈明发，赵耀龙*，庄长伟. 地理信息技术在土壤污染防治应用中的研究现状与趋势，土壤通报，50（4）：993-1001.
2018, 易为，赵耀龙，钟蕊. 嘉绒藏族服饰文化的地理学调查--民族性与现代性之间. 热带地貌，39（2）：40-50.
2018, 刘云刚，陆大道，保继刚，叶超，汤茂林，刘瑜，赵耀龙，冯章献，黄晓军，郝庆，黄耿志，王丰龙，魏宗财，王立，谢阳，钱丽芸. 如何回归地理学：我的思考与实践. 地理研究，37(6)：1049-1069.
2018, 李久枫，余华飞，付迎春，赵耀龙. 广东省“人口—经济—土地—社会—生态” 城市化协调度时空变化及其聚类模式. 地理科学进展, 37(2): 287-298.
2018, 黄寿佳，赵耀龙*. 茂名市茂南区土地利用时空演化及驱动因素分析(1987—2017 年), 热带地貌，39(1)：1-10
2018, 任勇翔，刘强，王希，赵耀龙，王建斌，熊家晴. 西安城区海绵城市建设设计降雨量与不透水地面分布研究. 西安建筑科技大学学报（自然科学版），50(1)：100-104.
2018, 张海龙，赵耀龙，叶璐. Model Builder 在建设用地报批线状地物面积自动扣除中的应用. 地矿测绘，34(3)：8-11.
2017, 吴亮，余华飞，王习祥，赵耀龙. 论空天地一体化辅助城乡规划督察技术服务体系. 城市勘测，2017(4)：76-83.
2017, 梁志承，赵耀龙*，付迎春. 耦合蚁群算法和SCS-CN水文模型的城市不透水面空间格局优化. 地球信息科学学报，19(10)：1315-1326.
2016, 戴舒，付迎春，赵耀龙. 基于Cubist 模型树的城市不透水面百分比遥感估算模型. 地球信息科学学报，18(10)：1399-1409.
2016, 林浩嘉，赵耀龙*. 城市快速扩张驱动下的耕地演化模拟与预测——以广东省东莞市为例. 地球信息科学学报，18(4)：493-505.
2016, 张锐豪，赵耀龙*，吴智刚，罗文斐. 基于集成学习和元胞自动机的城市地理模拟. 华南师范大学学报（自然科学版），48（1）：101-107.
2015, 李彬烨，赵耀龙*，付迎春. 广州城市暴雨内涝时空演变及建设用地扩张的影响. 地球信息科学学报，17(4)，445-450.
2015, 吴智刚，吴健婷，赵耀龙*.基于网格的高标准基本农田建设时序设计模型研究--以广东省湛江市遂溪县草潭镇为例. 昆明理工大学（自然科学版），40(3)，32-38.
2015, 谢鸿宇，赵耀龙*，杨木壮，等. 基于地面Lidar的树冠体积和表面积测量方法研究. 中南林业科技大学学报（自然科学版），35(4)：1-6.
2014, 谢鸿宇，赵耀龙*，杨木壮，等. 基于无棱镜全站仪的树冠体积算法. 中南林业科技大学学报（自然科学版），34(1)：12-17.
2014, 赵耀龙, 张珂, 彭永俊, 付迎春, 张洪. 基于地理模拟方法的昆明市空间拓展情景分析. 地理研究，33(1), 119-131
2013, 夏丽丽，赵耀龙，欧阳军，刘望保. 城中村制造业集聚的基本特征及社会效应分析――以广州市康乐村为例. 城市问题，2013(7)，96-102.
2013，张珂，赵耀龙*，付迎春，张洪. 滇池流域1974 年至2008 年土地利用的分形动态. 资源科学，35(1)，232-239.
2012, 夏丽丽，赵耀龙*，欧阳军，刘望保. 城中村制造业空间集聚研究――以广州康乐村服装生产企业为例. 地理研究，31(7)，1294-1304.

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