2002.09-2006.06  南京大学  城市与资源学系 理学学士

2006.09-2009.06  中国科学院研究生院  地理科学与资源研究所 理学硕士

2012.09-2015.07  中国科学院大学  地理科学与资源研究所 理学博士

  工作履历

2009.07-2018.12   国家农业信息化工程技术研究中心，历任助理研究员、副研究员

2019.03-2024.09   中国农业大学 土地科学与技术学院 副教授

2024.10-                 中国农业大学 土地科学与技术学院  教授

  学术兼职

Spatial Statistics 主题编辑（Subject Editor）（2024-）

Frontiers in Soil Science副主编（2022-）

International Scientific Journal Acta Geobalcanica 编委（2015-）

农业大数据学报 编委（2023-）

土壤通报 青年编委（2022-）

Agriculture Communications 青年编委（2023-）

中国地理学会地图学与地理信息系统专委会 委员（2019-）

中国地理学会地理模型与地理信息分析专业委员会 委员（2023-）

中国空间统计学会  理事（2014-）

  研究领域

1. 空间统计建模

2. 空间因果推断

3. 土地信息技术

  奖励与荣誉

  主持项目

1. 国家重点研发计划国际合作项目"克鲁伦河流域面源污染遥感监测与评估技术研发"，2021.07-2024.06

2. 国家重点研发计划子课题"农田利用动态监测与粮食产能评估技术示范应用"，2022.12-2026.11

3. 国家重点研发计划子课题"农业面源污染和重金属污染监测网络优化技术研究"，2016.01-2020.12

4. 国家自然科学基金"顾及尺度差异的空间异质性关系建模方法研究"，2023.01-2026.12

5. 国家自然科学基金"面向环境质量等级划分的加密采样空间布局优化方法研究"，2017.01-2019.12

6. 国家科技基础条件平台中心委托课题“科研设施与仪器开放共享动态研究及发展报告编制”，2021.07-2022.06

7. 国家科技基础条件平台中心委托课题“2020年国家重大科研基础设施和大型科研仪器发展报告》编制”，2020.07-2021.06

8. 北京市优秀人才（青年骨干个人）"基于多尺度空间相关性的土壤重金属污染制图方法研究"，2017.01-2019.12

9. 北京科技创新基地培育与发展工程项目"基于时空不确定性分析的农田土壤环境质量等级划分方法"，2016.12-2018.04

10. 北京市农林科学院创新能力建设专项项目"基于混合相关性的小尺度农田土壤重金属污染制图方法研究"，2017.01-2019.12

11. 国家自然科学基金重点项目任务"三位一体空间抽样理论的海洋环境监测实验、验证"，2016.01-2020.12

12. 资源与环境信息系统国家重点实验室开放基金“面向区域农田土壤重金属污染源解析的空间异质性关系模型”，2022.08-2024.08

13. 遥感科学国家重点实验室开放基金"京津冀区域臭氧及其前体物相关性的时空差异性研究"，2019.01-2020.12

14. 国土资源部土地利用重点实验室开放课题"土地资源监测网络空间采样方法研究"，2017.01-2017.12

15. 国家农业信息化工程技术研究中心开放课题"基于点对数频率分布函数的空间变异函数构建方法研究"，2012-2014

  学术成果

一、 发表文章: 

2024年：

1. Chenyi Wang,  Bingbo Gao*,  Ke Yang,  Yuxue Wang,  Chinzorig Sukhbaatar,  Yue Yin,  Quanlong Feng, Xiaochuang Yao, Zhonghao Zhang, Jianyu Yang. Inversion of soil organic carbon content based on the two-point machine learning method. Science of The Total Environment,  2024, 943: 173608

2. Anjin Dai, Jianyu Yang*, Tingting Zhang, Bingbo Gao*, Kaixuan Tang, and Xinyue Chen. Dadr-hcd: A deep domain adaptation and disentangled representation network for unsupervised heterogeneous change detection. IEEE Transactions on Geoscience and Remote Sensing, 2024,  62: 1-15

3. Tingting Zhang; Jianyu Yang*; Han Zhou; Anjin Dai; Bingbo Gao*; Kaixuan Tang; Donglin Tan. Abandoned cropland mapping with phenology-enhanced change vector analysis and semi-supervised learning in different cropping intensity areas. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-15

2023年：

1. Bingbo Gao, Jianyu Yang, Ziyue Chen, George Sugihara, Manchun Li, Alfred Stein, Mei-Po Kwan, Jinfeng Wang.  Causal inference from cross-sectional earth system data with geographical convergent cross mapping.  Nature Communications.  2023,14:5875

2. Jie Chen, Qiancheng, Shuang Wu, Yelu Zeng, Manchun Li, Ziyue Chen, Enze Zhou,Wei Zheng, Cheng Liu, Xiao Chen*, Jing Yang, and Bingbo Gao*.  An adapted hourly Himawari-8 fire product for China:principle, methodology and verification.  Earth System Science Data, 2023,15:1911–1931

3. Chenru Chen, Bingbo Gao*, Miaoqing Xu, Shuyi Liu, Dehai Zhu, Jianyu Yang, Ziyue Chen*.  The spatiotemporal variation of PM2. 5-O3 association and its influencing factors across China: Dynamic Simil-Hu lines, Science of the Total Environment, 2023,880:163346

4. Bowen Niu, Quanlong Feng, Jianyu Yang, Boan Chen, Bingbo Gao, Jiantao Liu, Yi Li,   Jianhua Gong.  Solid waste mapping based on very high resolution remote sensing imagery and a novel deep learning approach, Geocarto International,2023,38(1):1-17

5. Jing Yang, Xiao Chen, Manchun Li, Qi Yao, Qiancheng Lv, Bingbo Gao, Ziyue Chen, The division of PM2. 5-O3 composite airborne pollution across China based on spatiotemporal clustering, Journal of Cleaner Production, 2023, 401: 136706

6. Miaoqing Xu, Jing Yang, Manchun Li, Xiao Chen, Qiancheng Lv, Qi Yao, Bingbo Gao, and Ziyue Chen.  The role of temporal scales in extracting dominant meteorological drivers of major airborne pollutants, Atmospheric Chemistry and Physics 2023, 23(21):14065-14076

7. Jing Yang, Xiao Chen, Manchun Li, Qi Yao, Qiancheng Lv, Bingbo Gao, Ziyue Chen.  The division of PM2. 5-O3 composite airborne pollution across China based on spatiotemporal clustering, Journal of Cleaner Production, 2023 401(23):136706

8. Zhenrong Du, Le Yu, Xin Chen, Bingbo Gao, Jianyu Yang, Haohuan Fu, Peng Gong.  Land use/cover and land degradation across the Eurasian steppe: Dynamics, patterns and driving factors, The Science of The Total Environment, 2023, 909:168593

2022年：

1. Bingbo Gao, Manchun Li, Jinfeng Wang, Ziyue Chen. Temporally or spatially? Causation inference in Earth System Sciences. Science Bulletin. 2022,67:232-235.

2. Bingbo Gao, Alfred Stein, Jinfeng Wang, A two-point machine learning method for the spatial prediction of soil pollution. International Journal of Applied Earth Observation and Geoinformation, 2022, 108: 102742

3. Bingbo Gao, Jinfeng Wang, Alfred Stein, Ziyue Chen, Causal inference in spatial statistics. Spatial Statistics. 2022, 50: 100621. doi.org/10.1016/j.spasta.2022.100621

4. Bingbo Gao, Ziyue Chen, YunBing Gao, Maogui Hu, Xiaolan Li, Yuchun Pan, Optimization of the sampling design for multiobjective soil mapping using the multiple path SSA (MP-SSA) method, CATENA, 2022, 217:106479

5. Jie Chen, Qi, Ziyue Chen*, Manchun Li, Zhaozhan Hao, Cheng Liu, Wei Zheng, Miaoqing Xu, Xiao Chen, Jing Yang, Qiancheng Lv, and Bingbo Gao*. The Fengyun-3D (FY-3D) global active fire product: principle, methodology and validation, Earth Syst. Sci. Data, 14, 3489–3508, https://doi.org/10.5194/essd-14-3489-2022, 2022.

6. Xiaolan Li, Bingbo Gao, Yuchun Pan, Zhongke Bai, Yunbing Gao, Shiwei Dong, Shuhua Li,

Multi-objective optimization sampling based on Pareto optimality for soil mapping. Geoderma, 2022,425:116069,

7. Shiwei Dong, Hui Guo, Ziyue Chen, Yuchun Pan, and Bingbo Gao*. Spatial Stratification Method for the Sampling Design of LULC Classification Accuracy Assessment: A Case Study in Beijing, China.  Remote Sensing , 2022, 14(4): 865.

8. Ziyue Chen, Miaoqing Xu, Bingbo Gao, et al. Causation inference in complicated atmospheric environment. Environmental Pollution. 2022, Environmental Pollution 303:119057

9. Chen Boan, Feng Quanlong, Niu Bowen, Yan Fengqin, Gao Bingbo, Yang Jianyu, Gong Jianhua, Liu Jiantao. 2022. Multi-modal fusion of satellite and street-view images for urban village classification based on a dual-branch deep neural network. International Journal of Applied Earth Observations and Geoinformation. 109: 102794.

10. Chen Boan, Feng Quanlong, Niu Bowen, Yang Jianyu, Gao Bingbo, Liu Jiantao, Wang Weitao, Li Chenxi, Zhao Yuanyuan, Guo Hao, Ma Qin. 2022. Mapping of land cover in semi-arid regions based on a multi-gate semi-supervised learning method – a case study of Zhangbei, China, Remote Sensing Letters, 13(2): 207-217.

11. Niu, Jiacheng, Huaizhi Tang, Qi Liu, Feng Cheng, Leina Zhang, Lingling Sang, Yuanfang Huang, Chongyang Shen, Bingbo Gao, and Zibing Niu.. Determinants of Soil Bacterial Diversity in a Black Soil Region in a Large-Scale Area, Land, 2022, 11(5): 731

12. Yang, Jing, Xiao Chen, Qi Yao, Manchun Li, Miaoqing Xu, Qiancheng Lv, Bingbo Gao, and Ziyue Chen. The Spatial Variation of the Influence of Lockdown on Air Quality across China and Its Major Influencing Factors during COVID-19, Atmosphere, 2022,13(10): 1597

13. Zhen Wang, Ruiyuan Li, Ziyue Chen, Qi Yao, Bingbo Gao, Miaoqing Xu, Lin Yang, Manchun Li, Chenghu Zhou, The estimation of hourly PM2.5 concentrations across China based on a Spatial and Temporal Weighted Continuous Deep Neural Network (STWC-DNN), ISPRS Journal of Photogrammetry and Remote Sensing, 2022,190:38-55

14.冯权泷, 陈泊安, 李国庆, 姚晓闯, 高秉博, 张连翀. 2022. 遥感影像样本数据集研究综述. 遥感学报, 26(4): 589-605.

15.王铭鑫, 范超, 高秉博*, 任周鹏, 李发东, 融合半变异函数的空间随机森林插值方法. 中国生态农业学报 (中英文), 2022, 30(3): 451-457

16.王雨雪,杨柯,高秉博*,冯爱萍,田娟,姜传亮,杨建宇.基于两点机器学习方法的土壤有机质空间分布预.农业工程学报,2022,38(12):65-73. DOI:10.11975/j.issn.1002-6819.2022.12.008

2021年：

1. Zhenbo Du, Bingbo Gao*, Cong Ou, Zhenrong Du, et al. A Quantitative Analysis of Factors Influencing Organic Matter Concentration in the Topsoil of Black Soil in Northeast China Based on Spatial Heterogeneous Patterns. ISPRS International Journal of Geo-Information. 2021, 10(5):348.

2. Ruiyuan Li, Miaoqing Xu, Ziyue Chen, Bingbo Gao, et al. Phenology-based classification of crop species and rotation types using fused MODIS and Landsat data: The comparison of a random-forest-based model and a decision-rule-based model. Soil and Tillage Research. 2021, 206: 104838.

3. Shiwei Dong, Yuchun Pan, Hui Guo, Bingbo Gao, Mengmeng Li. Identifying Influencing Factors of Agricultural Soil Heavy Metals Using a Geographical Detector: A Case Study in Shunyi District, China. Land. 2021, 10(10):1010.

4. Li, Chenxi, Zaiying Ma, Liuyue Wang, Weijian Yu, Donglin Tan, Bingbo Gao, Quanlong Feng, Hao Guo, and Yuanyuan Zhao. Improving the Accuracy of Land Cover Mapping by Distributing Training Samples, Remote Sensing, 2021, 13(22): 4594.

5. Ruiyuan Li, Miaoqing Xu, Manchun Li, Ziyue Chen, Na Zhao, Bingbo Gao, and Qi Yao. Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis. Atmospheric Chemistry and Physics. 2021; 21: 15631-15646.

6. Changjun Wan,  Yakov Kuzyakov,  Changxiu Cheng,  Sijing Ye,  Bingbo Gao,  Peichao Gao,  Shuyi Ren,  Wanqi Yun. A soil sampling design for arable land quality observation by using SPCOSA–CLHS hybrid approach. Land Degradation & Development, 2021,32(17):4889– 4906

7. Miaoqing Xu, Qi Yao, Danlu Chen, Manchun Li, Ruiyuan Li, Bingbo Gao, Bo Zhao, Ziyue Chen, Estimating the impact of ground ozone concentrations on crop yields across China from 2014 to 2018: A multi-model comparison,Environmental Pollution, 2021,283:117099

8. Shuai Yan, Xiaochuang Yao, Dehai Zhu, Diyou Liu, Lin Zhang, Guojiang Yu, Bingbo Gao, Jianyu Yang, Wenju Yun, Large-scale crop mapping from multi-source optical satellite imageries using machine learning with discrete grids,International Journal of Applied Earth Observation and Geoinformation, 2021,103:102485

9. 高秉博,郝朝展,李发东,胡茂桂,李晓岚,郜允兵,潘瑜春. 面向土壤环境质量等级划分的统计推断与加密采样优化方法研究综述. 农业环境科学学报, 2021,40(4)：712-722.

10. 霍明珠,高秉博,乔冬云, Sainbuyan Bayarsaikhan,安毅,霍莉莉. 基于APCS-MLR受体模型的农田土壤重金属源解析. 农业环境科学学报, 2021, 40(5): 978-986.

 2020年：

1. Bingbo Gao, Maogui Hu, Jinfeng Wang, Chengdong Xu, Ziyue Chen, Haimei, Fan & Haiyuan Ding, Spatial interpolation of marine environment data using P-MSN. International Journal of Geographical Information Science, 2020, 34(3): 577-603

2. Jinfeng Wang, Bingbo Gao, Alfred Stein, The spatial statistic trinity: A generic framework for spatial sampling and inference. Environmental Modelling & Software, 2020, 134: 104835

3. Shiwei Dong , Ziyue Chen , Bingbo Gao* , Hui Guo , Danfeng Sun, Yuchun Pan, Stratified even sampling method for accuracy assessment of land use/land cover classification: a case study of Beijing, China, International Journal of Remote Sensing, 2020, 41(16): 6427–6443

4. Xiaolan Li, Bingbo, Gao, Zhongke Bai, Yuchun Pan, Yunbing Gao, An Improved Parallelized Multi-Objective Optimization Method for Complex Geographical Spatial Sampling: AMOSA-II, ISPRS International Journal of Geo-Information,2020, 9(4):236

5. Shiwei Dong, Bingbo Gao, Yuchun Pan, Ruiyuan Li & Ziyue Chen. Assessing the suitability of FROM-GLC10 data for understanding agricultural ecosystems in China: Beijing as a case study, Remote Sensing Letters, 2020,11:1, 11-18

6. Ziyue Chen, Ruiyuan Li, Danlu Chen, Yan Zhuang, Bingbo Gao, Lin Yang, Manchun Li, Understanding the causal influence of major meteorological factors on ground ozone concentrations across China, Journal of Cleaner Production, 2020, 242:118498

7. Ziyue Chen, Danlu Chen, Chuanfeng Zhao, Mei-po Kwan, Jun Cai, Yan Zhuang, Bo Zhao, Xiaoyan Wang, Bin Chen, Jing Yang, Ruiyuan Li, Bin He, Bingbo Gao, Kaicun Wang, Bing Xu,Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism,Environment International, Volume 2020,139:105558

8. Lin Yang, Xianglin He, Feixue Shen, Chenghu Zhou, A-Xing Zhu, Bingbo Gao, Ziyue Chen, Manchun Li,Improving prediction of soil organic carbon content in croplands using phenological parameters extracted from NDVI time series data,Soil and Tillage Research, 2020, 196:104465

9. 高秉博,王劲峰,胡茂桂,徐成东,刘慧兰,周成虎.中国陆表自然资源综合观测台站布点优化.资源科学,2020,42(10):1911-1920.

2019年：

1. Ziyue Chen, Danlu Chen, Xiaoming Xie, Jun Cai, Yan Zhuang, Nianliang Cheng, Bin He, Bingbo Gao*, Spatial self-aggregation effects and national division of city-level PM2.5 concentrations in China based on spatio-temporal clustering, Journal of Cleaner Production, 2019, 207:875-881

2. Ziyue Chen, Danlu Chen, Mei-Po Kwan, Bin Chen, Bingbo Gao*, Yan Zhuang, Ruiyuan Li, and Bing Xu.The control of anthropogenic emissions contributed to 80% of the decrease in PM2:5 concentrations in Beijing from 2013 to 2017. Atmospheric Chemistry and Physics, 2019, 19(21):13519-13533

3. Ziyue Chen, Danlu Chen, Wei Wen, Yan Zhuang, Mei-Po Kwan, Bin Chen, Bo Zhao, Lin Yang, Bingbo Gao, Ruiyuan Li, Bing Xu. Evaluating the “2+26” regional strategy for air quality improvement during two air pollution alerts in Beijing: variations in PM2.5 concentrations, source apportionment, and the relative contribution of local emission and regional transport, Atmospheric Chemistry and Physics, 2019, 19(10):6879–6891

4. Nianliang Cheng, Ruiyuan Li, Chunxue Xu, Ziyue Chen, Danlu Chen, Fan Meng, Bingfen Cheng, Ziqiang Ma, Yan Zhuang, Bin He, Bingbo Gao, Ground ozone variations at an urban and a rural station in Beijing from 2006 to 2017: Trend, meteorological influences and formation regimes, Journal of Cleaner Production, 2019, 235:11-20

5. 李晓岚,高秉博,周艳兵,潘瑜春,郜允兵,李斌,胡茂桂.基于时空不确定性分析的北京市农田土壤重金属镉含量等级划分.农业环境科学学报,2019,38(02):307-316.

6. 齐杏杏; 高秉博*; 潘瑜春; 杨晶; 郜允兵; 基于地理探测器的土壤重金属污染影响因素分析, 农业环境科学学报, 2019, 38(11): 2476-2486

2018年：

1. Fan Haimei, Gao Bingbo*, Wang Jinfeng, Qin Xiaoguang, Liu Pengxia, Hu Maogu, Xu Peng, Optimization of Shanghai Marine Environmental Monitoring Sites in the Identification of Boundaries of Different Water Quality Grades, Journal of Ocean University of China, 2018,17(4):846-854

2. Jiaxin Wang, Maogui Hu, Fengsong Zhang, Bingbo Gao. Influential factors detection for surface water quality with geographical detectors in China. Stochastic Environmental Research and Risk Assessment, 2018, 32(9):2633–2645

3. Ziyue Chen,Xiaoming Xie, Jun Cai,Danlu Chen,Bingbo Gao, Bin He,Nianliang Cheng,Bing Xu, Understanding meteorological influences on PM2.5 concentrations across China: a temporal and spatial perspective, Atmospheric Chemistry and Physics. 2018 , 18 (8) :1-30

4. Yan Zhuang, Danlu Chen, Ruiyuan Li,Ziyue Chen, Jun Cai, Bin He, Bingbo Gao, Nianliang Cheng , and Yueni Huang. Understanding the Influence of Crop Residue Burning on PM2.5 and PM10 Concentrations in China from 2013 to 2017 Using MODIS Data, International Journal of Environmental Research and Public Health, 2018, 15(7):1504

5. 张衍毓, 高秉博, 郭旭东, 陈美景, 任艳敏, 李晓岚,国土空间监测网络布局优化方法研究, 中国土地科学, 2018,32(01),11-19

6. 刘玉, 陈秧分, 高秉博, 王国刚,2003～2014年中国种植业产值增长及贡献因素分析, . 地理科学,2018,38(1):143-150

7. 潘瑜春, 谢晓明, 高秉博, 李晓岚, 基于Rserve和GIS Server的农田环境管理决策支持系统, 河南理工大学学报 (自然科学版), 2018,37(01),60-67

2017年：

1. Bingbo Gao, Anxiang Lu, Yuchun Pan, Lili Huo,YunBing Gao, Xiaolan Li, Shuhua Li, Ziyue Chen, Additional Sampling Layout Optimization Method for Environmental Quality Grade Classifications of Farmland Soil. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017 10(12):5350-5357

2. Bingbo Gao, Yu Liu, Yuchun Pan, YunBing Gao, Ziyue Chen, Xiaolan Li ,Yanbing Zhou. Error index for additional sampling to map soil contaminant grades. Ecological Indicators, 2017,77:129-138

3. Haimei Fan, Bingbo Gao*, Ren Xu, Jinfeng Wang. Optimization of Shanghai marine environment monitoring sites by integrating spatial correlation and stratified heterogeneity. Acta Oceanologica Sinica, 2017,36 (2):111-121

4. Ziyue Chen, Bingbo Gao and Bernard Devereux, State-of-the-Art: DTM Generation Using Airborne LIDAR Data, Sensors 2017, 17(1):1-24

5. Ziyue Chen, Jun Cai, Bingbo Gao, Bing Xu, Shuang Dai, Bin He & Xiaoming Xie,Detecting the causality influence of individual meteorological factors on local PM2.5 concentration in the Jing-Jin-Ji region. Scientific Reports. 2017,7:40735

6. Chen, Ziyue, Danlu Chen, Yan Zhuang, Jun Cai, Na Zhao, Bin He, Bingbo Gao, and Bing Xu. Examining the Influence of Crop Residue Burning on Local PM2.5 Concentrations in Heilongjiang Province Using Ground Observation and Remote Sensing Data. Remote Sensing, 2017, 9(10): 971.

7. Yilan Liao, Jinfeng Wang, Wei Du, Bingbo Gao, Xin Liu, Gong Chen, Xinming Song, Xiaoying Zheng. Using spatial analysis to understand the spatial heterogeneity of disability employment in China, Transactions in GIS, 2017,21(4):647-660

8. Nianliang Cheng, Dawei Zhang, Yunting Li, Xiaoming Xie, Ziyue Chen, Fan Meng, Bingbo Gao, Bin He, Spatio-temporal variations of PM2.5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in Beijing. Scientific Reports, 2017,7(1):8220

9. 李晓岚, 高秉博* ,潘瑜春, 郜允兵, 郝星耀, 基于本体知识库的建设用地疑似用地问题自动发现, 基于本体知识库的建设用地疑似用地问题自动发现, 科学技术与工程, 2017, 17 (13) :197—204

2016年：

1. Bingbo Gao , Yuchun Pan, Ziyue Chen, Fang Wu, Xuhong Ren, Maogui Hu, A spatial conditioned Latin hypercube sampling method for mapping using ancillary data, Transactions in GIS ,2016,20(5):735-754

2. Jing Ren#, Bing-Bo Gao#, Ren Xu, Zhi-Hong Zhang, Yao Zhang, Hai-Mei Fan, Jin-Feng Wang. Assessment of pollutant mean concentrations in the Yangtze estuary based on MSN theory, Marine Pollution Bulletin,2016,113(1-2):216-223

3. Z. Chen, B. Xu and B. Gao, An Image-Segmentation-Based Urban DTM Generation Method Using Airborne Lidar Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016,9(1): 496-506

4. Yipeng Zhang, Yunbing Gao, Bingbo Gao, Yuchun Pan, Mingyang Yan, An Efficient Graph-based Method for Long-term Land-use Change Statistics, Sustainability, 2016,8(1):1-14.

5. Ziyue Chen, Bing Xu, Jun Cai, Bingbo Gao, Understanding temporal patterns and characteristics of air quality in Beijing: A local and regional perspective, Atmospheric Environment, 2016, 127:303-315.

6. Bingbo Gao, Yuchun Pan, Bingqian Shan, Xingyao Hao, Xiaolan Li, YunBing Gao, Yanbing Zhou,The design and realization of REST Services for construction landuse supervision data management, 2016,The Fifth International Conference on Agro-Geoinformatics

7. Xiaolan Li, Bingbo Gao*, Yuchun Pan, Yunbing Gao, Xiaoming Xie, The soil heavy metal content mapping based on Sandwich Model, 2016, The Fifth International Conference on Agro-Geoinformatics

8. Yu Liu, Xiumei Tang, Bingbo Gao*, Chao Sun, Fluctuation Characteristics of Grain Output in He'nan based on EMD model, 2016, The Fifth International Conference on Agro-Geoinformatics

9. 唐秀美, 潘瑜春, 高秉博, 郜允兵, 北京市平原造林生态系统服务价值评估,北京大学学报(自然科学版), 2016,52(2):274-278

10. 李淑华, 郝星耀, 周清波, 高秉博, 潘瑜春, 基于三明治估计的全国土壤墒情估计方法, 中国农业资源与区划,2016,37(10),1-8

2015年：

1. Gao Bing-Bo ,Wang Jin-Feng, Fan Hai-Mei, Xu Kan, Hu Mao-Gui, Chen Zi-Yue, A stratified optimization method for a multivariate marine environmental monitoring network in the Yangtze River estuary and its adjacent sea, International Journal of Geographical Information Science, 2015,29(8):1332-1349

2. Pan Yuchun, Ren Xuhong, Gao Bingbo* , Liu Yu, Gao YunBing, Hao Xingyao, Chen Ziyue, Global mean estimation using aself-organizing dual-zoning method for preferential sampling, Environmental Monitoring and Assessment,2015,187(3):121-131

3. Ziyue Chen, Bing Xu, Bingbo Gao, Assessing visual green effects of individual urban trees using airborne Lidar data, Science of the Total Environment, 2015, 536:232-244.

4. Xiaolan Li, Bingbo Gao*, Yuchun Pan,Yanbing Zhou, Xingyao Hao,The synchronized updating technology research of supervision spatio-temporal data model about organizing of construction land use data in distributed environment.2015, CCTA 2015

5. 刘玉, 潘瑜春, 高秉博* , 任艳敏, 中国农作物成灾面积的演化趋势及波动特征研究, 自然灾害学报, 2015, (04):15-23

6. 邓旭仁, 高秉博, 刘兴权, 国家级产地环境管理评价系统设计与实现, 测绘科学, 2015, (11):100-104

7. 郜允兵, 高秉博, 李晓岚, 潘瑜春, 张晓东, 长时间序列土地利用数据时空索引技术研究, 中国土地科学, 2015, 29(9):34-41.

8. 范海梅, 高秉博, 余江, 刘志国, 上海海域营养盐趋势与长江排海量相关性研究, 上海环境科学集, 2015, (2):1-5

9. 郜允兵, 潘瑜春, 高秉博, 张晓东, 郜俊霞, 张翼鹏, 面向土地利用调查的时空数据库构建技术, 测绘科学, 2015, 40(5):49-54

10. 郜允兵, 张翼鹏, 高秉博, 潘瑜春, 张晓东, 长时序海量土地利用时空数据统计优化方法, 农业机械学报, 2015, (S1):290-296

11. 李艳梅, 陈秧分, 刘玉, 高秉博, 基于LMDI和EMD模型的中国玉米产量变化及其波动性研究, 北京大学学报(自然科学版), 2015, 51(5):946-954

12. 吴丹, 吉红霞, 刘玉, 高秉博, 任艳敏, 华北平原土地整治项目区农用机井的空间布局优化, 经济地理, 2015, 35(6):154-160

13. 郝星耀, 冯仲科, 赵春江, 李淑华, 高秉博, 基于差分的土壤墒情自动监测数据误差修正方法, 农业工程学报, 2015, (3):152-158

2014年：

1. Chen Ziyue ,Gao Bingbo, An Object-Based Method for Urban Land Cover Classification Using Airborne Lidar Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(10):4243-4254

2. Ren Xuhong , Wei Ning, Gao Bingbo, Pan Yuchun, Guo, Qing, Gao Yunbing, Experimental study on estimation of global mean with preferential spatial samples, Intelligent Automation and Soft Computing, 2014,20(4):625-635.

3. 高秉博, 周艳兵, 潘瑜春, 郜允兵, 单炳乾, 王同坤, 面向过程的建设用地全程监管时空数据组织模型, 国土资源信息化, 2014, (5):19-24

4. 刘玉, 郜允兵, 高秉博* , 任艳敏, 1980-2012年河南省县域粮食单产时空分异及增产潜力研究, 北京大学学报(自然科学版), 2014, 50(6):1-9.

5. 刘玉, 高秉博, 潘瑜春, 郜允兵, 基于LMDI模型的中国粮食产量变化及作物构成分解研究, 自然资源学报, 2014, (10):1709-1720.

6. 任旭红, 潘瑜春, 高秉博, 刘玉, 类别辅助变量参与下的土壤无偏采样布局优化方法, 农业工程学报, 2014, (21):120-128.

7. 刘玉, 郜允兵, 高秉博 , 任艳敏, 1980-2012年河南省县域粮食单产时空分异及增产潜力研究, 北京大学学报(自然科学版), 2014, (06):1106-1114

8. 刘玉, 蒙达, 周艳兵, 高秉博, 京津冀地区粮食产量变化及其作物结构分析, 经济地理, 2014, 34(8):125-130

2013 年：

1. 刘玉, 高秉博, 潘瑜春, 任旭红, 基于LMDI模型的黄淮海地区县域粮食生产 影响因素分解, 农业工程学报, 2013, (21):1-10.

2. 刘玉, 高秉博, 潘瑜春, 任旭红,基于LMDI模型的黄淮海地区县域粮食生产影响因素分解, 农业工程学报, 2013,29(21),1-10.

3. 王剑, 王健, 高秉博, 基于时空感知能力的农业信息搜索技术研究, 南方农业学报, 2013, 44(1):166-170.

2012年:

1. Jin-Feng Wang, A. Stein, Bin-Bo Gao, Yong Ge, A review of spatial sampling, Spatial Statistics, 2012, 2:1-14.

2. Ziyue Chen, Bernard Devereux, Bingbo Gao, Gabriel Amable, Upward-fusion urban DTM generating method using airborne Lidar data, ISPRS Journal of Photogrammetry and Remote Sensing, 2012, 72:121-130.

3. 刘玉, 高秉博, 潘瑜春, 中国县域人均粮食占有量空间变异特征研究, 中国农业大学学报, 2012, 17(3):154-162.

4. 刘玉, 王国刚, 高秉博, 周艳兵, 中国粮食生产的区域格局变化研究--基于1998-2010年的数据实证分析, 农业现代化研究, 2012, (06):673-677

二、发明专利：

[1] 基于空间变参数机器学习的地理空间全覆盖数据生成方法和装置ZL202410446330.7（已授权，1/9）

[2] 样点布设的方法、装置、电子设备和存储介质 201711407612.2 （已授权，1/8）

[3] 一种流程引导式的村镇空间规划网络系统及其实现方法 201410064748.8 （已授权，1/9）

[4] 科研经费预算执行智能提醒系统ZL 201410065168.0（已授权，排名：1/8）

[5] 一种利用辅助变量数据的无偏采样布局优化方法 201410441570.4 （已授权，排名：2/6）

[6] 土壤属性值的计算方法及装置201811250753.2 （已授权，排名：2/9）

[7] 分布式多尺度空间数据查询方法及系统 201410559530.X（已授权，排名：3/10）

[8] 一种便携式土壤样品袋 ZL 201720311721.3（已授权，排名：3/5)

[9] 一种野外土壤样品采集装置 ZL 201720311715.8（已授权，排名：3/5)  

[10] 一种数据非法修改行为自动检测的方法及装置, ZL201610757025.5（已授权，排名：3/5)  

[11] 一种空间数据库中矢量数据几何变化检测的方法及装置  ZL201610757048.6（已授权，排名：3/5)

[12] 破碎化区域采样点的地理空间分布均匀度检测方法  ZL201711293386.X（已授权，排名：3/8)

[13] 连续不规则区域采样点的地理空间分布均匀度检测方法 ZL201711293026.X（已授权，排名：3/8)

[14] 用于农村事件上报的地址定位系统及方法 ZL 201110169439.3（已授权，排名：4/7）

[15] 区域尺度监测点均匀布设优化方法及系统 ZL 2201110108177.X（已授权，排名：4/9）

[16] 一种可定制的节水灌溉物联网系统与实现方法 201410128823.2（已授权，排名：5/5）

[17] 网络地图显示方法及系统 ZL 201510106867.X（已授权，排名：6/7）

[18] 一种土地利用数据时态拓扑自动构建方法 201410114566.7（已授权，排名：7/10）

三、出版著作：

[1] 陆安祥, 曹珊珊, 高秉博等. 面向农业环境监测的空间插值方法, 经济科学出版社,2017

[2] 张蕾娜, 高秉博等. 中国耕地资源自然地理格局研究, 中国大地出版社, 2023

[3] 李超, 高秉博等. 中国耕地资源土壤条件研究, 中国大地出版社, 2023

[4] 自然资源部, 第三次全国国土调查领导小组办公室, 中国耕地资源质量分类, 中国大地出版社, 2023(负责编写第三章)

[5] 《中国耕地资源质量分类地图集》编纂委员会,中国耕地资源质量分类地图集,中国地图出版社（编委）

四、制定标准:

1. 国家标准《农业地理信息系统基本要求 GB/T 41444-2022》（排名：3/12）

2. 国家标准《地理信息 空间抽样与统计 GB/Z 33451-2016》（排名：5/16）

3. 国家标准《地理信息 简单要素访问 第2部分:SQL选项 GB/T 33187.2—2016》（排名：12/12）

4. 行业标准《耕地资源分区分类评价技术规 TD/T 1100-2024》（排名：13/21）

五、申请软著：

1. 地图制图服务软件V1.0 2009SR044186 （第一完成人）

2. 村镇空间规划信息资源集成共享平台软件V1.0 2010SR053543 （第一完成人）

3. 村镇空间规划决策支持软件 2010SR053469 （第一完成人）

4. 地理环境监测站点门户软件V1.0 2010SR075033  （第一完成人）

5. 农产品质量与农田环境基础数据管理平台 2014SR039615 （第一完成人）

6. 国家级农产品产地环境信息库管理系统 2014SR039476 （第一完成人）

7. 城镇化发展用地监管过程时空数据管理系统 2015SR012728（第一完成人）

8. 监管过程时空数据共享平台 2015SR012647（第一完成人）

9. 农业面源污染和重金属污染监测网络优化软件 2018SR017068（第一完成人）