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1、P1致敬客户:亲爱的CSpace空天智能科技用户,我们友情提示您,当您收到编号为CSpace-2022-KBASE-003(WF)的电子报告,请考虑并接受如下知识产权约定:(1 1)请勿上传到互联网各类文库、贴吧等公共或商业文献平台;)请勿上传到互联网各类文库、贴吧等公共或商业文献平台;(2 2)未经授权,请勿以任何形式提供给第三方;未经授权,请勿以任何形式提供给第三方;(3 3)引用本文档,请注明报告出处,引用格式如下:)引用本文档,请注明报告出处,引用格式如下:地理空间智能地理空间智能/地理空间情报行地理空间情报行业进展业进展,赛思倍斯智能科技有限公司,内部报告(编号:,赛思倍斯智能科技有
2、限公司,内部报告(编号:CSpace-2022-KBASE-003 CSpace-2022-KBASE-003(WFWF),),20222022年年1111月。月。如您无法接受以上约定,请立即删除或销毁本电子文档,谢谢您的理解和支持!顺祝商祺!赛思倍斯智能科技有限公司二二二年 十一月报告编号:CSpace-2022-KBASE-003(WF)P2报告人:江志军 博士赛思倍斯智能科技有限公司 遥感与地理信息首席专家二二三年 六月 二十八日智能遥感与地理空间智能行业进展P3智能遥感与遥感情报行业进展地理空间赛博基础设施地理空间行业生态系统值得关注的卫星遥感星座地理空间智能与云计算从事数据分析的典型
3、企业地理空间智能与众包地理空间智能与语义同化地理空间智能行业的敏捷工程P4Geo-spatial Intelligence AdvancementGeospatial cyber-infrastructureGeospatial cyber-infrastructure(GCIGCI)Geo-Spatial EcosystemGeo-Spatial EcosystemSatellite ConstellationSatellite ConstellationCloud ComputingCloud ComputingData AnalysisData AnalysisCrowdsourcing
4、CrowdsourcingSemantic HeterogeneitySemantic HeterogeneityAgilityAgilityP5What is geospatial intelligence(GI)?P6What is geospatial intelligence(GI)?P7What is geospatial intelligence(GI)?P888What is geospatial intelligence(GI)?P9Technology TrendsP10Many OpportunitiesP11Geospatial cyber-infrastructure(
5、GCI)11P12lA new concept:GeoverseGeospatial cyber-infrastructure(GCI)P13lFrom SDI to GeoverseGeospatial cyber-infrastructure(GCI)P14l7 Key Challenges关键挑战l行业接受与行业偏见l数据分析能力l语义同化l中介支持服务l公民参与科研l云计算技术的进步l不同类型组织之间的联合、联邦Geospatial cyber-infrastructure(GCI)P15 Geo-Spatial Ecosystem(地理空间生态系统)Satellite Constel
6、lation(遥感卫星星座)Cloud Computing(云计算)Data Analysis(数据分析)Citizen Science(全民科学运动、活动)Semantic Heterogeneity(语义同化)Agility(敏捷工程、敏捷方法)l7 Driving Supports驱动性支撑Geospatial cyber-infrastructure(GCI)P16Geospatial cyber-infrastructureGeospatial cyber-infrastructure(GCIGCI)Geo-Spatial EcosystemGeo-Spatial Ecosystem
7、Satellite ConstellationSatellite ConstellationCloud ComputingCloud ComputingData AnalysisData AnalysisCrowdsourcingCrowdsourcingSemantic HeterogeneitySemantic HeterogeneityAgilityAgilityGeo-spatial Intelligence AdvancementP17Geo-Spatial EcosystemP18lRadiant Earth FoundationGeo-Spatial EcosystemP19lR
8、adiant Earth FoundationGeo-Spatial EcosystemP20Geo-Spatial EcosystemP21Geo-Spatial EcosystemP22Geo-Spatial EcosystemP23Geo-Spatial Industry Value不包含中国仅统计了MAXAR、Airbus、Planet、BlackSky等几家国外遥感卫星运营商民商用遥感卫星占比9%,仅次于商业通信卫星。遥感软件、应用系统、遥感数据增值服务未统计在内P24Geo-Spatial Industry Value根据国际地理空间行业权威机构GeoBUIZ发布的报告,2020年
9、,全球对地观测(不含卫星制造)应用市场规模已达759亿美元根据GeoBUIZ,2020年,中国对地观测(不含卫星制造)应用市场规模占比全球市场约为15%,已达114亿美元。经历30多年的技术积累和应用验证,近5年来,中国的对地观测市场正处于快速发展阶段,2022年其行业产值已达千亿元。P25Geo-Spatial Industry Value*澳大利亚政府与亚太经合组织APEC于2019年发布的对地对海观测行业研究报告P26Geo-Spatial Industry ValueP27Geospatial cyber-infrastructureGeospatial cyber-infrastru
10、cture(GCIGCI)Geo-Spatial EcosystemGeo-Spatial EcosystemSatellite ConstellationSatellite ConstellationCloud ComputingCloud ComputingData AnalysisData AnalysisCrowdsourcingCrowdsourcingSemantic HeterogeneitySemantic HeterogeneityAgilityAgilityGeo-spatial Intelligence AdvancementP28lMaxar and WV Legion
11、Satellite ConstellationP29l Maxar and MDASatellite ConstellationP30l Airbus and Pleiades Neo3030Satellite ConstellationP31Satellite ConstellationP32l Planet Labs-Dove&SkySatSatellite ConstellationP33lBlackSkySatellite ConstellationP34lSatellogic34Satellite ConstellationP35lICEYE35X波段,极化方式:VV,分辨率:0.5
12、m3mSatellite ConstellationP36lCapella SpaceX波段,极化方式:HH,分辨率:0.3m1mSatellite ConstellationP37lUmbra37X波段,极化方式:HH/VV,分辨率:0.25m2.0m;目前在轨6颗,计划发射32颗Satellite ConstellationP38lSynspective StriX-alphaSatellite ConstellationP39l Albedo:2020年由洛马公司前雇员创办,2021年4月A轮融资4800万美金,计划于2024-2027年前,建设并运营24颗超低轨道、超高(0.1m)分辨
13、率遥感卫星星座。l Albedo的价值主张:大星座、快速重访、超低轨道显著降低卫星制造成本、从太空获取航空质量的影像。超高分辨率卫星遥感影像(0.1m)Satellite ConstellationP40l EOI(Earth Observant Inc.)Space 计划发射一个 VLEO(超低地球轨道)星座,由“超高分辨率”(0.15m)成像卫星组成(60颗),用于政府和商业用途,称为 Stingray。l 通过在 VLEO 运行,Stingray 卫星将比大多数其他卫星更接近地球,并将能够提供最高分辨率的图像。使用专有的电力推进系统(EPS),EOI 的卫星可以保持低高度并在该轨道上停留
14、长达5年。l 该星座中的第一颗卫星计划于 2024 年初发射。lEOI Stingray40Satellite ConstellationP4141Satellite ConstellationP42Geospatial cyber-infrastructureGeospatial cyber-infrastructure(GCIGCI)Geo-Spatial EcosystemGeo-Spatial EcosystemSatellite ConstellationSatellite ConstellationCloud ComputingCloud ComputingData Analysi
15、sData AnalysisCrowdsourcingCrowdsourcingSemantic HeterogeneitySemantic HeterogeneityAgilityAgilityGeo-spatial Intelligence AdvancementP43lAmazon AWS for Aerospace and SatelliteCloud ComputingP44lAmazon AWS for Aerospace and SatelliteCloud ComputingP45lAmazon AWS for Aerospace and SatelliteCloud Comp
16、utingP46lEarthServerThe transatlantic EarthServer initiative provides support for 1000 petabytes of data for science analytics.It uses WCS and a related standard web coverage processing service(WCPS)that provides raster processing capabilities.Cloud ComputingP47lGIBSNASA global imagery browse servic
17、es(GIBS)project that uses WMTS as an interface to allow users to access over 900 satellite imagery products with full-resolution.Cloud ComputingP48l百度 百度智能云Cloud ComputingP49l百度 百度智能云Cloud ComputingP50Geospatial cyber-infrastructureGeospatial cyber-infrastructure(GCIGCI)Geo-Spatial EcosystemGeo-Spat
18、ial EcosystemSatellite ConstellationSatellite ConstellationCloud ComputingCloud ComputingData AnalysisData AnalysisCrowdsourcingCrowdsourcingSemantic HeterogeneitySemantic HeterogeneityAgilityAgilityGeo-spatial Intelligence AdvancementP51lMaxar AnswerFactory&G-EGDData AnalysisP52lMaxar SpaceNetData
19、AnalysisP53lOrbital Insight GOData AnalysisP54lOrbital Insight GOData AnalysisP55lPreligensData AnalysisP56lPreligens56Data AnalysisP57lPreligensData AnalysisP58lEcopiaFrom satellite imagery(maxar)From satellite imagery(maxar)“我们与世界各地的 27 个图像合作伙伴合作,在 100 个国家/地区绘制了超过 4000 万平方公里的地图而我们的旅程才刚刚开始”Data Ana
20、lysisP59lEcopiaFrom aerial imagery(hexagon)Ecopia 与意大利航空摄影测量公司CGR 合作的第一个全国性 3D 制图项目-意大利Data AnalysisP60lDescartes LabsData AnalysisP61lDescartes LabsData AnalysisP62lCapella SpaceData AnalysisP63lHexagonData AnalysisP64lHexagonData AnalysisP65lGoogle-Google Earth EngineData AnalysisP66lGoogle-Google
21、 Earth EnterpriseData AnalysisP67Data AnalysislSkylineP68lVRICONData AnalysisP69Data AnalysislCesiumP70Data AnalysislFMEP71l3GIMBALSData AnalysisP72Geospatial cyber-infrastructureGeospatial cyber-infrastructure(GCIGCI)Geo-Spatial EcosystemGeo-Spatial EcosystemSatellite ConstellationSatellite Constel
22、lationCloud ComputingCloud ComputingData AnalysisData AnalysisCrowdsourcingCrowdsourcingSemantic HeterogeneitySemantic HeterogeneityAgilityAgilityGeo-spatial Intelligence AdvancementP73lMaxar-Tomnod73CrowdsourcingP74lOrbital InsightCrowdsourcingP75lCOBWEB75CrowdsourcingP76lCOBWEBCrowdsourcingP77Geos
23、patial cyber-infrastructureGeospatial cyber-infrastructure(GCIGCI)Geo-Spatial EcosystemGeo-Spatial EcosystemSatellite ConstellationSatellite ConstellationCloud ComputingCloud ComputingData AnalysisData AnalysisCrowdsourcingCrowdsourcingSemantic HeterogeneitySemantic HeterogeneityAgilityAgilityGeo-sp
24、atial Intelligence AdvancementP7878lopenioos.orgSemantic HeterogeneityData comes from various sources that can report the concepts in different ways making it difficult to integrate the data.The 2011 OGC ocean science interoperability experiment provided best practices for encoding semantics using t
25、he OGC SOS interface standard so that sensor concepts(sensor,platform,and parameter)can be easily linked to ontologies.P79lPalantirSemantic HeterogeneityP80Geospatial cyber-infrastructureGeospatial cyber-infrastructure(GCIGCI)Geo-Spatial EcosystemGeo-Spatial EcosystemSatellite ConstellationSatellite
26、 ConstellationCloud ComputingCloud ComputingData AnalysisData AnalysisCrowdsourcingCrowdsourcingSemantic HeterogeneitySemantic HeterogeneityAgilityAgilityGeo-spatial Intelligence AdvancementP81lPlanets Agility Engineering2020,Flock 4v SuperDove2014,Flock 1 DovesAgilityP82lOpen development environmen
27、t by OGCAgilityP83lOpen source testing facility by OGCIt has successfully been used in projects like eEnvPlus.This project set up the validation tool in their own cloud environment and has helped validate metadata and data following GML profilesAgilityP84 “我们只能往前看很短的距离,我们还有很多的事情要做”人工智能一种现代方法作者:(美国)斯图尔特罗素(Stuart Russell)EndingP85赛思倍斯赛思倍斯(CSpace)(CSpace)公司核心技术产品公司核心技术产品开创开创GEOINTGEOINT新未来新未来P86Thank You All!赛思倍斯赛思倍斯(CSpace)(CSpace)公司微信公众号公司微信公众号GEOINTGEOINT科普视频号科普视频号