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
SpatialStatistics主题编辑（SubjectEditor）（2024-）
FrontiersinSoilScience副主编（2022-）
InternationalScientificJournalActaGeobalcanica编委（2015-）
农业大数据学报编委（2023-）
土壤通报青年编委（2022-）
AgricultureCommunications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
1.地理信息科技进步奖一等“耕地质量综合监测与智能决策关键技术及应用”，2024，排名2/20
2.自然资源科学技术奖二等“耕地质量要素监测关键技术突破、装备研发与应用”，2023，排名6/10
3.地理信息科技进步奖二等“多源数据融合的乡村地域功能评价与优化关键技术及应用”，2023，排名8/12
4.地理信息科技进步奖一等“基于定量遥感与数据同化的多尺度农情监测关键技术与应用”，2023，排名18/20
5.高校GIS论坛“高校GIS新锐”，2023，排名1/1
6.高校GIS论坛“优秀教学成果奖”，2023，排名2/6
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
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
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
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
2024年：
1.ChenyiWang,BingboGao*,KeYang,YuxueWang,ChinzorigSukhbaatar,YueYin,QuanlongFeng,XiaochuangYao,ZhonghaoZhang,JianyuYang.Inversionofsoilorganiccarboncontentbasedonthetwo-pointmachinelearningmethod.ScienceofTheTotalEnvironment,2024,943:173608
2.AnjinDai,JianyuYang*,TingtingZhang,BingboGao*,KaixuanTang,andXinyueChen.Dadr-hcd:Adeepdomainadaptationanddisentangledrepresentationnetworkforunsupervisedheterogeneouschangedetection.IEEETransactionsonGeoscienceandRemoteSensing,2024,62:1-15
3.TingtingZhang;JianyuYang*;HanZhou;AnjinDai;BingboGao*;KaixuanTang;DonglinTan.Abandonedcroplandmappingwithphenology-enhancedchangevectoranalysisandsemi-supervisedlearningindifferentcroppingintensityareas.IEEETransactionsonGeoscienceandRemoteSensing,2024,62:1-15
2023年：
1.BingboGao,JianyuYang,ZiyueChen,GeorgeSugihara,ManchunLi,AlfredStein,Mei-PoKwan,JinfengWang.Causalinferencefromcross-sectionalearthsystemdatawithgeographicalconvergentcrossmapping.NatureCommunications.2023,14:5875
2.JieChen,Qiancheng,ShuangWu,YeluZeng,ManchunLi,ZiyueChen,EnzeZhou,WeiZheng,ChengLiu,XiaoChen*,JingYang,andBingboGao*.AnadaptedhourlyHimawari-8fireproductforChina:principle,methodologyandverification.EarthSystemScienceData,2023,15:1911–1931
3.ChenruChen,BingboGao*,MiaoqingXu,ShuyiLiu,DehaiZhu,JianyuYang,ZiyueChen*.ThespatiotemporalvariationofPM2.5-O3associationanditsinfluencingfactorsacrossChina:DynamicSimil-Hulines,ScienceoftheTotalEnvironment,2023,880:163346
4.BowenNiu,QuanlongFeng,JianyuYang,BoanChen,BingboGao,JiantaoLiu,YiLi,JianhuaGong.Solidwastemappingbasedonveryhighresolutionremotesensingimageryandanoveldeeplearningapproach,GeocartoInternational,2023,38(1):1-17
5.JingYang,XiaoChen,ManchunLi,QiYao,QianchengLv,BingboGao,ZiyueChen,ThedivisionofPM2.5-O3compositeairbornepollutionacrossChinabasedonspatiotemporalclustering,JournalofCleanerProduction,2023,401:136706
6.MiaoqingXu,JingYang,ManchunLi,XiaoChen,QianchengLv,QiYao,BingboGao,andZiyueChen.Theroleoftemporalscalesinextractingdominantmeteorologicaldriversofmajorairbornepollutants,AtmosphericChemistryandPhysics2023,23(21):14065-14076
7.JingYang,XiaoChen,ManchunLi,QiYao,QianchengLv,BingboGao,ZiyueChen.ThedivisionofPM2.5-O3compositeairbornepollutionacrossChinabasedonspatiotemporalclustering,JournalofCleanerProduction,2023401(23):136706
8.ZhenrongDu,LeYu,XinChen,BingboGao,JianyuYang,HaohuanFu,PengGong.Landuse/coverandlanddegradationacrosstheEurasiansteppe:Dynamics,patternsanddrivingfactors,TheScienceofTheTotalEnvironment,2023,909:168593
2022年：
1.BingboGao,ManchunLi,JinfengWang,ZiyueChen.TemporallyorspatiallyCausationinferenceinEarthSystemSciences.ScienceBulletin.2022,67:232-235.
2.BingboGao,AlfredStein,JinfengWang,Atwo-pointmachinelearningmethodforthespatialpredictionofsoilpollution.InternationalJournalofAppliedEarthObservationandGeoinformation,2022,108:102742
3.BingboGao,JinfengWang,AlfredStein,ZiyueChen,Causalinferenceinspatialstatistics.SpatialStatistics.2022,50:100621.doi.org/10.1016/j.spasta.2022.100621
4.BingboGao,ZiyueChen,YunBingGao,MaoguiHu,XiaolanLi,YuchunPan,OptimizationofthesamplingdesignformultiobjectivesoilmappingusingthemultiplepathSSA(MP-SSA)method,CATENA,2022,217:106479
6.XiaolanLi,BingboGao,YuchunPan,ZhongkeBai,YunbingGao,ShiweiDong,ShuhuaLi,
Multi-objectiveoptimizationsamplingbasedonParetooptimalityforsoilmapping.Geoderma,2022,425:116069,
7.ShiweiDong,HuiGuo,ZiyueChen,YuchunPan,andBingboGao*.SpatialStratificationMethodfortheSamplingDesignofLULCClassificationAccuracyAssessment:ACaseStudyinBeijing,China.RemoteSensing,2022,14(4):865.
8.ZiyueChen,MiaoqingXu,BingboGao,etal.Causationinferenceincomplicatedatmosphericenvironment.EnvironmentalPollution.2022,EnvironmentalPollution303:119057
9.ChenBoan,FengQuanlong,NiuBowen,YanFengqin,GaoBingbo,YangJianyu,GongJianhua,LiuJiantao.2022.Multi-modalfusionofsatelliteandstreet-viewimagesforurbanvillageclassificationbasedonadual-branchdeepneuralnetwork.InternationalJournalofAppliedEarthObservationsandGeoinformation.109:102794.
10.ChenBoan,FengQuanlong,NiuBowen,YangJianyu,GaoBingbo,LiuJiantao,WangWeitao,LiChenxi,ZhaoYuanyuan,GuoHao,MaQin.2022.Mappingoflandcoverinsemi-aridregionsbasedonamulti-gatesemi-supervisedlearningmethod–acasestudyofZhangbei,China,RemoteSensingLetters,13(2):207-217.
11.Niu,Jiacheng,HuaizhiTang,QiLiu,FengCheng,LeinaZhang,LinglingSang,YuanfangHuang,ChongyangShen,BingboGao,andZibingNiu..DeterminantsofSoilBacterialDiversityinaBlackSoilRegioninaLarge-ScaleArea,Land,2022,11(5):731
12.Yang,Jing,XiaoChen,QiYao,ManchunLi,MiaoqingXu,QianchengLv,BingboGao,andZiyueChen.TheSpatialVariationoftheInfluenceofLockdownonAirQualityacrossChinaandItsMajorInfluencingFactorsduringCOVID-19,Atmosphere,2022,13(10):1597
13.ZhenWang,RuiyuanLi,ZiyueChen,QiYao,BingboGao,MiaoqingXu,LinYang,ManchunLi,ChenghuZhou,TheestimationofhourlyPM2.5concentrationsacrossChinabasedonaSpatialandTemporalWeightedContinuousDeepNeuralNetwork(STWC-DNN),ISPRSJournalofPhotogrammetryandRemoteSensing,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.ZhenboDu,BingboGao*,CongOu,ZhenrongDu,etal.AQuantitativeAnalysisofFactorsInfluencingOrganicMatterConcentrationintheTopsoilofBlackSoilinNortheastChinaBasedonSpatialHeterogeneousPatterns.ISPRSInternationalJournalofGeo-Information.2021,10(5):348.
2.RuiyuanLi,MiaoqingXu,ZiyueChen,BingboGao,etal.Phenology-basedclassificationofcropspeciesandrotationtypesusingfusedMODISandLandsatdata:Thecomparisonofarandom-forest-basedmodelandadecision-rule-basedmodel.SoilandTillageResearch.2021,206:104838.
3.ShiweiDong,YuchunPan,HuiGuo,BingboGao,MengmengLi.IdentifyingInfluencingFactorsofAgriculturalSoilHeavyMetalsUsingaGeographicalDetector:ACaseStudyinShunyiDistrict,China.Land.2021,10(10):1010.
4.Li,Chenxi,ZaiyingMa,LiuyueWang,WeijianYu,DonglinTan,BingboGao,QuanlongFeng,HaoGuo,andYuanyuanZhao.ImprovingtheAccuracyofLandCoverMappingbyDistributingTrainingSamples,RemoteSensing,2021,13(22):4594.
5.RuiyuanLi,MiaoqingXu,ManchunLi,ZiyueChen,NaZhao,BingboGao,andQiYao.IdentifyingthespatiotemporalvariationsinozoneformationregimesacrossChinafrom2005to2019basedonpolynomialsimulationandcausalityanalysis.AtmosphericChemistryandPhysics.2021;21:15631-15646.
6.ChangjunWan,YakovKuzyakov,ChangxiuCheng,SijingYe,BingboGao,PeichaoGao,ShuyiRen,WanqiYun.AsoilsamplingdesignforarablelandqualityobservationbyusingSPCOSA–CLHShybridapproach.LandDegradation&Development,2021,32(17):4889–4906
7.MiaoqingXu,QiYao,DanluChen,ManchunLi,RuiyuanLi,BingboGao,BoZhao,ZiyueChen,EstimatingtheimpactofgroundozoneconcentrationsoncropyieldsacrossChinafrom2014to2018:Amulti-modelcomparison,EnvironmentalPollution,2021,283:117099
8.ShuaiYan,XiaochuangYao,DehaiZhu,DiyouLiu,LinZhang,GuojiangYu,BingboGao,JianyuYang,WenjuYun,Large-scalecropmappingfrommulti-sourceopticalsatelliteimageriesusingmachinelearningwithdiscretegrids,InternationalJournalofAppliedEarthObservationandGeoinformation,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,SainbuyanBayarsaikhan,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.BingboGao,MaoguiHu,JinfengWang,ChengdongXu,ZiyueChen,Haimei,Fan&HaiyuanDing,SpatialinterpolationofmarineenvironmentdatausingP-MSN.InternationalJournalofGeographicalInformationScience,2020,34(3):577-603
2.JinfengWang,BingboGao,AlfredStein,Thespatialstatistictrinity:Agenericframeworkforspatialsamplingandinference.EnvironmentalModelling&Software,2020,134:104835
3.ShiweiDong,ZiyueChen,BingboGao*,HuiGuo,DanfengSun,YuchunPan,Stratifiedevensamplingmethodforaccuracyassessmentoflanduse/landcoverclassification:acasestudyofBeijing,China,InternationalJournalofRemoteSensing,2020,41(16):6427–6443
4.XiaolanLi,Bingbo,Gao,ZhongkeBai,YuchunPan,YunbingGao,AnImprovedParallelizedMulti-ObjectiveOptimizationMethodforComplexGeographicalSpatialSampling:AMOSA-II,ISPRSInternationalJournalofGeo-Information,2020,9(4):236
5.ShiweiDong,BingboGao,YuchunPan,RuiyuanLi&ZiyueChen.AssessingthesuitabilityofFROM-GLC10dataforunderstandingagriculturalecosystemsinChina:Beijingasacasestudy,RemoteSensingLetters,2020,11:1,11-18
6.ZiyueChen,RuiyuanLi,DanluChen,YanZhuang,BingboGao,LinYang,ManchunLi,UnderstandingthecausalinfluenceofmajormeteorologicalfactorsongroundozoneconcentrationsacrossChina,JournalofCleanerProduction,2020,242:118498
7.ZiyueChen,DanluChen,ChuanfengZhao,Mei-poKwan,JunCai,YanZhuang,BoZhao,XiaoyanWang,BinChen,JingYang,RuiyuanLi,BinHe,BingboGao,KaicunWang,BingXu,InfluenceofmeteorologicalconditionsonPM2.5concentrationsacrossChina:Areviewofmethodologyandmechanism,EnvironmentInternational,Volume2020,139:105558
8.LinYang,XianglinHe,FeixueShen,ChenghuZhou,A-XingZhu,BingboGao,ZiyueChen,ManchunLi,ImprovingpredictionofsoilorganiccarboncontentincroplandsusingphenologicalparametersextractedfromNDVItimeseriesdata,SoilandTillageResearch,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.ZiyueChen,DanluChen,XiaomingXie,JunCai,YanZhuang,NianliangCheng,BinHe,BingboGao*,Spatialself-aggregationeffectsandnationaldivisionofcity-levelPM2.5concentrationsinChinabasedonspatio-temporalclustering,JournalofCleanerProduction,2019,207:875-881
2.ZiyueChen,DanluChen,Mei-PoKwan,BinChen,BingboGao*,YanZhuang,RuiyuanLi,andBingXu.Thecontrolofanthropogenicemissionscontributedto80%ofthedecreaseinPM2:5concentrationsinBeijingfrom2013to2017.AtmosphericChemistryandPhysics,2019,19(21):13519-13533
3.ZiyueChen,DanluChen,WeiWen,YanZhuang,Mei-PoKwan,BinChen,BoZhao,LinYang,BingboGao,RuiyuanLi,BingXu.Evaluatingthe“2+26”regionalstrategyforairqualityimprovementduringtwoairpollutionalertsinBeijing:variationsinPM2.5concentrations,sourceapportionment,andtherelativecontributionoflocalemissionandregionaltransport,AtmosphericChemistryandPhysics,2019,19(10):6879–6891
4.NianliangCheng,RuiyuanLi,ChunxueXu,ZiyueChen,DanluChen,FanMeng,BingfenCheng,ZiqiangMa,YanZhuang,BinHe,BingboGao,GroundozonevariationsatanurbanandaruralstationinBeijingfrom2006to2017:Trend,meteorologicalinfluencesandformationregimes,JournalofCleanerProduction,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.FanHaimei,GaoBingbo*,WangJinfeng,QinXiaoguang,LiuPengxia,HuMaogu,XuPeng,OptimizationofShanghaiMarineEnvironmentalMonitoringSitesintheIdentificationofBoundariesofDifferentWaterQualityGrades,JournalofOceanUniversityofChina,2018,17(4):846-854
2.JiaxinWang,MaoguiHu,FengsongZhang,BingboGao.InfluentialfactorsdetectionforsurfacewaterqualitywithgeographicaldetectorsinChina.StochasticEnvironmentalResearchandRiskAssessment,2018,32(9):2633–2645
3.ZiyueChen,XiaomingXie,JunCai,DanluChen,BingboGao,BinHe,NianliangCheng,BingXu,UnderstandingmeteorologicalinfluencesonPM2.5concentrationsacrossChina:atemporalandspatialperspective,AtmosphericChemistryandPhysics.2018,18(8):1-30
4.YanZhuang,DanluChen,RuiyuanLi,ZiyueChen,JunCai,BinHe,BingboGao,NianliangCheng,andYueniHuang.UnderstandingtheInfluenceofCropResidueBurningonPM2.5andPM10ConcentrationsinChinafrom2013to2017UsingMODISData,InternationalJournalofEnvironmentalResearchandPublicHealth,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GISServer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.BingboGao,AnxiangLu,YuchunPan,LiliHuo,YunBingGao,XiaolanLi,ShuhuaLi,ZiyueChen,AdditionalSamplingLayoutOptimizationMethodforEnvironmentalQualityGradeClassificationsofFarmlandSoil.IEEEJournalofSelectedTopicsinAppliedEarthObservationsandRemoteSensing,201710(12):5350-5357
2.BingboGao,YuLiu,YuchunPan,YunBingGao,ZiyueChen,XiaolanLi,YanbingZhou.Errorindexforadditionalsamplingtomapsoilcontaminantgrades.EcologicalIndicators,2017,77:129-138
3.HaimeiFan,BingboGao*,RenXu,JinfengWang.OptimizationofShanghaimarineenvironmentmonitoringsitesbyintegratingspatialcorrelationandstratifiedheterogeneity.ActaOceanologicaSinica,2017,36(2):111-121
4.ZiyueChen,BingboGaoandBernardDevereux,State-of-the-Art:DTMGenerationUsingAirborneLIDARData,Sensors2017,17(1):1-24
5.ZiyueChen,JunCai,BingboGao,BingXu,ShuangDai,BinHe&XiaomingXie,DetectingthecausalityinfluenceofindividualmeteorologicalfactorsonlocalPM2.5concentrationintheJing-Jin-Jiregion.ScientificReports.2017,7:40735
6.Chen,Ziyue,DanluChen,YanZhuang,JunCai,NaZhao,BinHe,BingboGao,andBingXu.ExaminingtheInfluenceofCropResidueBurningonLocalPM2.5ConcentrationsinHeilongjiangProvinceUsingGroundObservationandRemoteSensingData.RemoteSensing,2017,9(10):971.
7.YilanLiao,JinfengWang,WeiDu,BingboGao,XinLiu,GongChen,XinmingSong,XiaoyingZheng.UsingspatialanalysistounderstandthespatialheterogeneityofdisabilityemploymentinChina,TransactionsinGIS,2017,21(4):647-660
8.NianliangCheng,DaweiZhang,YuntingLi,XiaomingXie,ZiyueChen,FanMeng,BingboGao,BinHe,Spatio-temporalvariationsofPM2.5concentrationsandtheevaluationofemissionreductionmeasuresduringtworedairpollutionalertsinBeijing.ScientificReports,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.BingboGao,YuchunPan,ZiyueChen,FangWu,XuhongRen,MaoguiHu,AspatialconditionedLatinhypercubesamplingmethodformappingusingancillarydata,TransactionsinGIS,2016,20(5):735-754
2.JingRen#,Bing-BoGao#,RenXu,Zhi-HongZhang,YaoZhang,Hai-MeiFan,Jin-FengWang.AssessmentofpollutantmeanconcentrationsintheYangtzeestuarybasedonMSNtheory,MarinePollutionBulletin,2016,113(1-2):216-223
3.Z.Chen,B.XuandB.Gao,AnImage-Segmentation-BasedUrbanDTMGenerationMethodUsingAirborneLidarData,IEEEJournalofSelectedTopicsinAppliedEarthObservationsandRemoteSensing,2016,9(1):496-506
4.YipengZhang,YunbingGao,BingboGao,YuchunPan,MingyangYan,AnEfficientGraph-basedMethodforLong-termLand-useChangeStatistics,Sustainability,2016,8(1):1-14.
5.ZiyueChen,BingXu,JunCai,BingboGao,UnderstandingtemporalpatternsandcharacteristicsofairqualityinBeijing:Alocalandregionalperspective,AtmosphericEnvironment,2016,127:303-315.
6.BingboGao,YuchunPan,BingqianShan,XingyaoHao,XiaolanLi,YunBingGao,YanbingZhou,ThedesignandrealizationofRESTServicesforconstructionlandusesupervisiondatamanagement,2016,TheFifthInternationalConferenceonAgro-Geoinformatics
7.XiaolanLi,BingboGao*,YuchunPan,YunbingGao,XiaomingXie,ThesoilheavymetalcontentmappingbasedonSandwichModel,2016,TheFifthInternationalConferenceonAgro-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.GaoBing-Bo,WangJin-Feng,FanHai-Mei,XuKan,HuMao-Gui,ChenZi-Yue,AstratifiedoptimizationmethodforamultivariatemarineenvironmentalmonitoringnetworkintheYangtzeRiverestuaryanditsadjacentsea,InternationalJournalofGeographicalInformationScience,2015,29(8):1332-1349
2.PanYuchun,RenXuhong,GaoBingbo*,LiuYu,GaoYunBing,HaoXingyao,ChenZiyue,Globalmeanestimationusingaself-organizingdual-zoningmethodforpreferentialsampling,EnvironmentalMonitoringandAssessment,2015,187(3):121-131
3.ZiyueChen,BingXu,BingboGao,AssessingvisualgreeneffectsofindividualurbantreesusingairborneLidardata,ScienceoftheTotalEnvironment,2015,536:232-244.
4.XiaolanLi,BingboGao*,YuchunPan,YanbingZhou,XingyaoHao,Thesynchronizedupdatingtechnologyresearchofsupervisionspatio-temporaldatamodelaboutorganizingofconstructionlandusedataindistributedenvironment.2015,CCTA2015
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
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.ChenZiyue,GaoBingbo,AnObject-BasedMethodforUrbanLandCoverClassificationUsingAirborneLidarData,IEEEJournalofSelectedTopicsinAppliedEarthObservationsandRemoteSensing,2014,7(10):4243-4254
2.RenXuhong,WeiNing,GaoBingbo,PanYuchun,Guo,Qing,GaoYunbing,Experimentalstudyonestimationofglobalmeanwithpreferentialspatialsamples,IntelligentAutomationandSoftComputing,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-FengWang,A.Stein,Bin-BoGao,YongGe,Areviewofspatialsampling,SpatialStatistics,2012,2:1-14.
2.ZiyueChen,BernardDevereux,BingboGao,GabrielAmable,Upward-fusionurbanDTMgeneratingmethodusingairborneLidardata,ISPRSJournalofPhotogrammetryandRemoteSensing,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：
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/T41444-2022》（排名：3/12）
2.国家标准《地理信息空间抽样与统计GB/Z33451-2016》（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/T33187.2—2016》（排名：12/12）
4.行业标准《耕地资源分区分类评价技术规TD/T1100-2024》（排名：13/21）
五、申请软著：
1.地图制图服务软件V1.02009SR044186（第一完成人）
2.村镇空间规划信息资源集成共享平台软件V1.02010SR053543（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V1.02010SR075033（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）