[1] 李国庆, 庞禄申. 公众化驱动的地球观测发展新时代[J]. 中国科学:信息科学, 2017,47(2):193-206. [ LiG Q, PangL S. A new age of public-oriented Earth observation development[J]. Scientia Sinica(Informationis), 2017,47(2):193-206. ] [ Li G Q, Pang L S. A new age of public-oriented Earth observation development[J]. Scientia Sinica(Informationis), 2017,47(2):193-206. ]
[2] MattmannC A. Computing: A vision for data science[J]. Nature, 493, 473-475(2013).
[3] 李国庆, 张红月, 张连翀, 等. 地球观测数据共享的发展和趋势[J]. 遥感学报, 2016,20(5):979-990. [ LiG Q, ZhangH Y, ZhangL C, et al. Development and trend of Earth observation data sharing[J]. Journal of Remote Sensing, 2016,20(5):979-990. ] [ Li G Q, Zhang H Y, Zhang L C, et al. Development and trend of Earth observation data sharing[J]. Journal of Remote Sensing, 2016,20(5):979-990. ]
[5] BKillough. Overview of the Open Data Cube Initiative[C]. 2018 International Geoscience and Remote Sensing Symposium. Valencia: IEEE, 8629-8632(2018).
[6] MatthewB J, LewisA, OliverS et al. Unlocking the Australian landsat archive-from dark data to High Performance Data infrastructures[J]. GeoRes Journal, 6, 135-140(2015).
[7] GiulianiG, ChatenouxB, DeB A et al. Building an Earth Observations Data Cube: Lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD)[J]. Big Earth Data, 1, 100-117(2017).
[8] GorelickN, HancherM, DixonM et al. Google Earth Engine: Planetary-scale geospatial analysis for everyone[J]. Remote Sensing of Environment, 202, 18-27(2017).
[9] 何昭欣, 张淼, 吴炳方, 等. Google Earth Engine支持下的江苏省夏收作物遥感提取[J]. 地球信息科学学报, 2019,21(5):752-766. [ HeZ X, ZhangM, WuB F, et al. Extraction of summer crop in Jiangsu based on Google Earth Engine[J]. Journal of Geo-information Science, 2019,21(5):752-766. ] [ He Z X, Zhang M, Wu B F, et al. Extraction of summer crop in Jiangsu based on Google Earth Engine[J]. Journal of Geo-information Science, 2019,21(5):752-766. ]
[10] BaumannP, DehmelA, FurtadoP et al. The multidimensional database system RasDaMan[J]. Acm Sigmod Record, 27, 575-577(1998).
[11] BaumannP, MazzettiP, UngarJ et al. Big data analytics for Earth sciences: The EarthServer approach[J]. International Journal of Digital Earth, 9, 3-29(2016).
[12] LewisA, OliverS, LymburnerL et al. The Australian Geoscience Data Cube - Foundations and lessons learned[J]. Remote Sensing of Environment, 202, 276-292(2017).
[13] 顾行发, 周翔, 张松梅, 等. 亚洲大洋洲区域综合地球观测系统计划进展[J]. 遥感学报, 2018,22(4):658-671. [ GuX F, ZhouX, ZhangS M, et al. Asia-Oceania GEOSS: A GEO initiative to implement GEOSS for sustainable development in Asia-Oceania[J]. Journal of Remote Sensing, 2018,22(4):658-671. ] [ Gu X F, Zhou X, Zhang S M,et al. Asia-Oceania GEOSS: A GEO initiative to implement GEOSS for sustainable development in Asia-Oceania[J]. Journal of Remote Sensing, 2018,22(4):658-671. ]
[15] LewisA, LymburnerL, PurssM B J et al. Rapid, high-resolution detection of environmental change over continental scales from satellite data-the Earth Observation Data Cube[J]. International Journal of Digital Earth, 9, 106-111(2016).
[16] OliverS, SixsmithJ, LymburnerL. A hybrid approach to automated landsat pixel quality[C]. Geoscience& Remote Sensing Symposium. Melbourne: IEEE, 4146-4149(2013).
[18] DwyerJ L, RoyD P, SauerB et al. Analysis ready data: Enabling analysis of the landsat archive[J]. Remote Sensing, 10, 1363(2018).
[20] RewR, DavisG. NetCDF: An interface for scientific data access[J]. IEEE Computer Graphics & Applications, 10, 76-82(1990).
[21] 况润元, 谢佳, 张萌, 等. 基于实测数据的鄱阳湖悬浮泥沙粒度遥感反演模式分析[J]. 长江科学院院报, 2017,34(11):132-137. [ KuangR Y, XieJ, ZhangM, et al. Models of remote sensing retrieval of suspended sediment particle size in the Poyang Lake based on measured spectral reflectance data[J]. Journal of Yangtze River Scientific Research Institute, 2017,34(11):132-137. ] [ Kuang R Y, Xie J, Zhang M, et al. Models of remote sensing retrieval of suspended sediment particle size in the Poyang Lake based on measured spectral reflectance data[J]. Journal of Yangtze River Scientific Research Institute, 2017,34(11):132-137. ]
[22] 万松贤, 兰志春, 刘以珍, 等. 基于NDVI指数的鄱阳湖丰水期湿地植被覆盖对水文情势变化的响应[J]. 南昌大学学报(理科版), 2017,41(4):341-348. [ WanS X, LanZ C, LiuY Z, et al. The response of wetland vegetation cover to hydrological regime change in Poyang Lake during the wet season based on NDVI index[J]. Journal of Nanchang University(Natural Science), 2017,41(4):341-348. ] [ Wan S X, Lan Z C, Liu Y Z, et al. The response of wetland vegetation cover to hydrological regime change in Poyang Lake during the wet season based on NDVI index[J]. Journal of Nanchang University(Natural Science), 2017,41(4):341-348. ]
[23] 方朝阳, 邬浩, 陶长华, 等. 鄱阳湖南矶湿地景观信息高分辨率遥感提取[J]. 地球信息科学学报, 2016,18(6):847-856. [ FangC Y, WuH, TaoC H, et al. The wetland information extraction research of Nanji wetland in Poyang lake based on high resolution remote sensing image[J]. Journal of Geo-information Science, 2016,18(6):847-856. ] [ Fang C Y, Wu H, Tao C H, et al. The wetland information extraction research of Nanji wetland in Poyang lake based on high resolution remote sensing image[J]. Journal of Geo-information Science, 2016,18(6):847-856. ]
[24] McFEETERSS K. The use of the Normalized Difference Water Index(NDWI) in the delineation of open water features[J]. International Journal of Remote Sensing, 17, 1425-1432(1996).
[25] 朱小强, 丁建丽, 夏楠, 等. 一种稳定阈值的湖泊水体信息提取方法[J]. 资源科学, 2019,41(4):790-802. [ ZhuX Q, DingJ L, XiaN, et al. Temperature vegetation water index: A novel stabilized threshold method for lake surface water mapping[J]. Resources Science, 2019,41(4):790-802. ] [ Zhu X Q, Ding J L, Xia N, et al. Temperature vegetation water index: A novel stabilized threshold method for lake surface water mapping[J]. Resources Science, 2019,41(4):790-802. ]
[26] 李国庆, 黄震春. 遥感大数据的基础设施:集成、管理与按需服务[J]. 计算机研究与发展, 2017,54(2):267-283. [ LiG Q, HuangZ C. Data infrastructure for remote sensing big data:integration,management and on-demand service[J]. Journal of Computer Research and Development, 2017,54(2):267-283. ] [ Li G Q, Huang Z C. Data infrastructure for remote sensing big data:integration,management and on-demand service[J]. Journal of Computer Research and Development, 2017, 54(2):267-283. ]
