全球地表覆盖领域服务计算的研究进展——以GlobeLand 30为例

doi:10.11947/j.AGCS.2017.20170411

测绘学报 ›› 2017, Vol. 46 ›› Issue (10): 1526-1533.doi: 10.11947/j.AGCS.2017.20170411

全球地表覆盖领域服务计算的研究进展——以GlobeLand 30为例

陈军¹, 武昊¹, 李松年²

1. 国家基础地理信息中心, 北京 100048;
2. 瑞尔森大学, 加拿大多伦多 ON M513 2K3

收稿日期:2017-07-15 修回日期:2017-08-23 出版日期:2017-10-20 发布日期:2017-10-26
作者简介:陈军(1956-),男,教授,研究方向为基础地理信息建模、更新与服务。E-mail:chenjun@nsdi.gov.cn
基金资助:
国家自然科学基金（41231172）；测绘地理信息公益性行业科技专项（201512028）

Research Progress of Global Land Domain Service Computing:Take GlobeLand 30 as an Example

CHEN Jun¹, WU Hao¹, LI Songnian²

1. National Geomatics Center of China, Beijing 100830, China;
2. Ryerson University, Toronto ON M513 2K3, Canada

Received:2017-07-15 Revised:2017-08-23 Online:2017-10-20 Published:2017-10-26
Supported by:
The National Natural Science Foundation of China(No. 41231172);The Special Fund for Surveying,Mapping and Geoinformation Scientific Research in the Pubic Welfare(No. 201512028)

摘要/Abstract

摘要： 将服务计算技术与领域需求相结合，为信息共享和协同服务提供高效技术手段，是当前互联网+地理信息的一个重要发展方向。本文以GlobeLand 30为例，分析了地表覆盖信息处理与服务计算相结合的基本问题，介绍了领域服务建模、在线计算方法和动态服务技术等方面的最新研究进展，以及所研发的GlobeLand 30信息服务平台。本文还讨论了GlobeLand 30领域服务计算的发展方向。

关键词: 地表覆盖, 服务计算, GlobeLand 30, 领域服务建模, 在线, 动态

Abstract: Combining service-computing technology with domain requirements is one of the important development directions of geographic information under Internet+, which provides highly efficient technical means for information sharing and collaborative services. Using GlobeLand 30 as an example, this paper analyzes the basic problems of integrating land cover information processing and service computing, introduces the latest research progress in domain service modeling, online computing method and dynamic service technology, and the GlobeLand 30 information service platform. The paper also discusses the further development directions of GlobeLand 30 domain service computing.

Key words: land cover, service computing, GlobeLand 30, domain service modeling, online, dynamic

中图分类号:

P208

陈军, 武昊, 李松年. 全球地表覆盖领域服务计算的研究进展——以GlobeLand 30为例[J]. 测绘学报, 2017, 46(10): 1526-1533.

CHEN Jun, WU Hao, LI Songnian. Research Progress of Global Land Domain Service Computing:Take GlobeLand 30 as an Example[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10): 1526-1533.

参考文献

[1] FRITZ S, MCCALLUM I, SCHILL C, et al. Geo-Wiki:An Online Platform for Improving Global Land Cover[J]. Environmental Modelling & Software, 2012, 31:110-123.
[2] HAN Weiguo, YANG Zhengwei, DI Liping, et al. CropScape:A Web Service Based Application for Exploring and Disseminating US Conterminous Geospatial Cropland Data Products for Decision Support[J]. Computers and Electronics in Agriculture, 2012, 84:111-123.
[3] CCI-LC Product User Guide[EB/OL].[2017-07-14]. http://maps.elie.ucl.ac.be/CCI/viewer/download/ESACCI-LC-Ph2-PUGv2_2.0.pdf.
[4] KARANTZALOS K, BLIZIOTIS D, KARMAS A. A Scalable Geospatial Web Service for Near Real-time, High-resolution Land Cover Mapping[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(10):4665-4674.
[5] 陈军, 武昊, 李松年, 等. 面向大数据时代的地表覆盖动态服务计算[J]. 测绘科学技术学报, 2013, 30(4):369-374. CHEN Jun, WU Hao, LI Songnian, et al. Services Oriented Dynamic Computing for Land Cover Big Data[J]. Journal of Geomatics Science and Technology, 2013, 30(4):369-374.
[6] CHEN Jun, BAN Yifang, LI Songnian. China:Open Access to Earth Land-Cover Map[J]. Nature, 2014, 514(7523):434.
[7] 陈军, 廖安平, 陈晋, 等. 全球30 m地表覆盖遥感数据产品-GlobeLand 30[J]. 地理信息世界, 2017, 24(1):1-8. CHEN Jun, LIAO Anping, CHEN Jin, et al. 30-Meter Global Land Cover Data Product-GlobeLand 30[J]. Geomatics World, 2017, 24(1):1-8.
[8] ARSANJANI J J, TAYYEBI A, VAZ E. GlobeLand 30 as an Alternative Fine-scale Global Land Cover Map:Challenges, Possibilities, and Implications for Developing Countries[J]. Habitat International, 2016(55):25-31.
[9] MORA B, TSENDBAZAR N E, HEROLD M, et al. Global Land Cover Mapping:Current Status and Future Trends[M]//MANAKOS I, BRAUN M. Land Use and Land Cover Mapping in Europe. Dordrecht:Springer, 2014:11-30.
[10] UN-GGIM. Determination of Global Fundamental Geospatial Data Themes[C]//Document Presented at the UN-GGIM Fifth Session. New York:UN-GGIM, 2015.
[11] CHEN Jun, CAO Xin, PENG Shu, et al. Analysis and Applications of GlobeLand 30:A Review[J]. ISPRS International Journal of Geo-Information, 2017, 6(8):230. DOI:10.3390/ijgi6080230.
[12] 陈军, 张俊, 张委伟, 等. 地表覆盖遥感产品更新完善的研究动向[J]. 遥感学报, 2016, 20(5):991-1001. DOI:10.11834/jrs.20166250. CHEN Jun, ZHANG Jun, ZHANG Weiwei, et al. Continous Updating and Refinement of Land Cover Data Product[J]. Journal of Remote Sensing, 2016, 20(5):991-1001. DOI:10.11834/jrs.20166250.
[13] 陈军, 陈晋, 廖安平. 全球地表覆盖遥感制图[M]. 北京:科学出版社, 2016. CHEN Jun, CHEN Jin, LIAO Anping. Remote Sensing-based Global Land Cover Mapping[M]. Beijing:Science Press, 2016.
[14] FOSTER I. Service-oriented Science[J]. Science, 2005, 308(5723):814-817.
[15] BOUGUETTAYA A, SINGH M, HUHNS M, et al. A Service Computing Manifesto:the Next 10 Years[J]. Communications of the ACM, 2017, 60(4):64-72.
[16] W3C. Web Services Activity[EB/OL]. https://www.w3.org/2002/ws/.
[17] TRACZ W. Domain-Specific Software Architecture (DSSA) Frequently Asked Questions (FAQ)[J]. ACM SIGSOFT Software Engineering Notes, 1994, 19(2):52-56.
[18] 林正奎, 杨德礼. 领域分析方法研究综述[J]. 计算机工程与设计, 2006, 27(4):593-596. LIN Zhengkui, YANG Deli. Overview of Domain Analysis Methods[J]. Computer Engineering and Design, 2006, 27(4):593-596.
[19] LIN Zhengkui, YANG Deli. Overview of Domain Analysis Methods[J]. Computer Engineering and Design, 2006, 27(4):593-596.
[20] JOSUTTIS N M. SOA in Practice:the Art of Distributed System Design[M].[S.l.]:O'Reilly Media, Inc., 2007.
[21] 欧阳日辉. 从"+互联网"到"互联网+"——技术革命如何孕育新型经济社会形态[J]. 人民论坛:2015(10):25-38. OUYANG Rihui. Changing from "Plus Internet" to "Internet Plus":How Technological Revolution Brings about New Economic and Social Patterns[J]. Frontiers, 2015(10):25-38.
[22] HOU Dongyang, CHEN Jun, WU Hao. Discovering Land Cover Web Map Services from the Deep Web with JavaScript Invocation Rules[J]. ISPRS International Journal of Geo-Information, 2016, 5(7):105.
[23] 侯东阳. 地表覆盖网络化信息发现方法研究[J]. 测绘学报, 2017, 46(1):133. DOI:10.11947/j.AGCS.2017.20160480. HOU Dongyang. Method of Land Cover Web Information Discovery[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(1):133. DOI:10.11947/j.AGCS.2017.20160480.
[24] 陈斐, 陈军, 武昊, 等. 基于景观形状指数的地表覆盖检验样本自适应抽样方法[J]. 中国科学(地球科学):2016, 46(11):1413-1425. CHEN Fei, CHEN Jun, WU Hao, et al. A Landscape Shape Index-based Sampling Approach for Land Cover Accuracy Assessment[J]. Science China Earth Sciences, 2016, 59(12):2263-2274.
[25] 李然, 匡文慧, 陈军, 等. 基于GlobeLand 30的全球人造地表利用效率时空差异特征分析[J]. 中国科学(地球科学):2016, 46(11):1436-1445. LI Ran, KUANG Wenhui, CHEN Jun, et al. Spatio-temporal Pattern Analysis of Artificial Surface Use Efficiency Based on GlobeLand 30[J]. Scientia Sinica Terrae, 2016, 46(11):1436-1445.
[26] XIAN G, HOMER C, FRY J. Updating the 2001 National Land Cover Database Land Cover Classification to 2006 By Using Landsat Imagery Change Detection Methods[J]. Remote Sensing of Environment, 2009, 113(6):1133-1147.
[27] JIN Suming, YANG Limin, DANIELSON P, et al. A Comprehensive Change Detection Method for Updating the National Land Cover Database to Circa 2011[J]. Remote Sensing of Environment, 2013, 132:159-175.
[28] XING H, CHEN J, WU H, et al. Change Detection-Based Updating of Constructed Land in Large Area[C]//ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences:XL-4. Suzhou:ISPRS 2014. 315-318.
[29] WU Hao, CHEN Jun, XING Huaqiao, et al. Pragmatics Driven Land Cover Service Composition Utilizing Behavior-Intention Model[C]//ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences:XLI-138. Prague:ISPRS, 2016. 1319-1325.
[30] XING Huaqiao, CHEN Jun, WU Hao, et al. A Service Relation Model for Web-based Land Cover Change Detection[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 132:20-32.
[31] 承达瑜, 陈军, 韩刚, 等. 基于消息队列的实时GIS协同操作研究[J]. 中国矿业大学学报, 2012, 41(1):127-132. CHENG Dayu, CHEN Jun, HAN Gang, et al. Study on Interoperability in Synchronous Cooperative GIS Based on Message Queue[J]. Journal of China University of Mining & Technology, 2012, 42(1):127-132.
[32] CHENG Dayu, CHEN Jun, HAN Gang, et al. Study on Interoperability in Synchronous Cooperative GIS Based on Message Queue[J]. Journal of China University of Mining & Technology, 2012, 41(1):127-132.
[33] HAN Gang, CHEN Jun, HE Chaoying, et al. A Web-based System for Supporting Global Land Cover Data Production[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 103:66-80.
[34] STEPINSKI T F, NETZEL P, JASIEWICZ J. LandEx:A GeoWeb Tool for Query and Retrieval of Spatial Patterns in Land Cover Datasets[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(1):257-266.
[35] CHEN Jun, LI Songnian, WU Hao, et al. Towards A Collaborative Global Land Cover Information Service[J]. International Journal of Digital Earth, 2017, 10(4):356-370.

全球地表覆盖领域服务计算的研究进展——以GlobeLand 30为例

Research Progress of Global Land Domain Service Computing:Take GlobeLand 30 as an Example

PDF

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	陈军, 武昊, 刘万增, 单卫东, 张俊, 赵鹏军. 自然资源时空信息的技术内涵与研究方向[J]. 测绘学报, 2022, 51(7): 1130-1140.
[2]	朱建军, 付海强, 汪长城. 极化干涉SAR地表覆盖层“穿透测绘”技术进展[J]. 测绘学报, 2022, 51(6): 983-995.
[3]	唐炉亮, 赵紫龙, 杨雪, 阚子涵, 任畅, 高婕, 李朝奎, 张霞, 李清泉. 大数据环境下道路场景高时空分辨率众包感知方法[J]. 测绘学报, 2022, 51(6): 1070-1090.
[4]	白坤, 慕晓冬, 陈雪冰, 朱永清, 尤轩昂. 融合半监督学习的无监督遥感影像场景分类[J]. 测绘学报, 2022, 51(5): 691-702.
[5]	李景文, 韦晶闪, 姜建武, 陆妍玲, 刘垒, 唐一飞, 李旭. 多视角监控视频中动态目标的时空信息提取方法[J]. 测绘学报, 2022, 51(3): 388-400.
[6]	李清泉, 张德津, 汪驰升, 陈智鹏, 涂伟. 动态精密工程测量技术及应用[J]. 测绘学报, 2021, 50(9): 1147-1158.
[7]	冯威, 任小杰, 张熙, 黄丁发. 高频动态多星座GNSS数据的周跳低时延解算方法[J]. 测绘学报, 2021, 50(3): 295-303.
[8]	邵晓航, 吴杭彬, 刘春, 陈晨, 蔡天池, 程帆瑾. 语素关联约束的动态环境视觉定位优化[J]. 测绘学报, 2021, 50(11): 1478-1486.
[9]	詹智成, 董卫华. 用于智能驾驶的动态场景视觉显著性多特征建模方法[J]. 测绘学报, 2021, 50(11): 1500-1511.
[10]	高成发, 陈波, 刘永胜. Android智能手机GNSS高精度实时动态定位[J]. 测绘学报, 2021, 50(1): 18-26.
[11]	张小红, 胡家欢, 任晓东. PPP/PPP-RTK新进展与北斗/GNSS PPP定位性能比较[J]. 测绘学报, 2020, 49(9): 1084-1100.
[12]	朱庆, 冯斌, 李茂粟, 陈媚特, 徐肇文, 谢潇, 张叶廷, 刘铭崴, 黄志勤, 冯义从. 面向动态关联数据的高效稀疏图索引方法[J]. 测绘学报, 2020, 49(6): 681-691.
[13]	刘振东, 戴昭鑫, 李成名, 刘晓丽. 三维GIS场景与多路视频融合的对象快速确定法[J]. 测绘学报, 2020, 49(5): 632-643.
[14]	黄谟涛, 陈欣, 邓凯亮, 欧阳永忠, 陆秀平, 吴太旗, 翟国君. 补偿海空重力测量动态效应剩余影响的通用模型[J]. 测绘学报, 2020, 49(2): 135-146.
[15]	张钰玺, 张小红, 刘全海, 朱锋. 航空测量场景下的中长基线动态定位方法[J]. 测绘学报, 2019, 48(7): 871-878.