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Back服务全球公共治理 《全球可持续发展数据产品(2025)》在北京发布
服务全球公共治理 《全球可持续发展数据产品(2025)》在北京发布
Science
中国新闻网yesterdayScience6 min readChinaView translation

服务全球公共治理 《全球可持续发展数据产品(2025)》在北京发布

该产品旨在通过开放共享的观测数据,助力联合国会员国评估可持续发展目标,弥合全球数据能力差距。

Quick Look

可持续发展大数据国际研究中心于10月19日在北京发布《全球可持续发展数据产品(2025)》。该系列包含9套数据产品,涵盖陆表、近海与大气,最长跨度38年,最高分辨率达10米,旨在为全球可持续发展目标评估提供科学支撑。

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Why It Matters

可持续发展大数据国际研究中心自2021年成立,旨在利用大数据服务联合国2030年可持续发展议程。该中心致力于解决全球范围内数据能力分布不均的问题。

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中新网北京10月19日电 (记者 孙自法)依托中国科学院建设的可持续发展大数据国际研究中心10月19日在北京正式发布了《全球可持续发展数据产品(2025)》,以开放共享的观测数据助力联合国会员国开展可持续发展目标评估,弥合全球数据能力分布不均的差距。

2026国际科学理事会中期会员大会暨北京科学对话当天下午开幕,来自世界各地的科技工作者代表汇聚一堂,围绕“复杂世界中的科学——科学共创美好未来”主题开展对话。《全球可持续发展数据产品(2025)》是会上集中发布的五项科研成果之一。

最长跨38年分辨率最高10米

《全球可持续发展数据产品(2025)》观测范围涵盖陆表、近海与大气,涉及土地利用、水循环、生态修复、海洋养殖、工业活动、人居健康等方向,覆盖零饥饿、清洁饮水、气候行动、水下生物、陆地生物等可持续发展目标,可直接服务可持续粮食生产、水生态系统保护、防治荒漠化等具体指标的量化测算。

《全球可持续发展数据产品(2025)》由9套数据产品组成,时间序列最长跨度达38年,空间分辨率最高达10米,时间分辨率精细至小时级,既可回溯数十年演变趋势,也可识别红树林斑块乃至潮沟、林窗等细微生态要素,为全球可持续发展履约评估与跨国协同治理提供标准化、可量化、可追溯的科学支撑。

其中,全球表层土壤湿度产品以中国国产卫星为主要数据源,打通数据获取、算法反演到产品发布的完整链路,提供全球1公里分辨率逐日土壤湿度数据。

全球工业热源产品以同一套算法完成全球覆盖,使各国工业活动具备统一口径的可比基础。

全球人体热应力指数产品把评价尺度从环境气温推进到人体实际承受的热负荷,建成2000年-2024年高时空分辨率、时间序列精细且连续的全球数据集。

同步发布的另6套数据产品各有侧重:

全球30米精细土地覆盖动态更新产品,采用连续变化监测技术揭示了1985年-2022年间全球陆表的空间格局与时空演变特征。

全球红树林10米分辨率空间分布产品,实现从空间分布识别到景观结构解析的跨越,完成红树林斑块级精细识别与空间结构精准表达。

全球植树造林年度监测产品,逐年记录人工造林的年份与空间分布,动态反映全球造林进程,是应对气候变化、缓解土地退化的重要自然解决方案。

全球海洋筏式养殖30米分辨率时序产品,刻画近海筏式养殖的空间分布特征与十余年从快速扩张到趋于稳定发展的态势。

全球气溶胶光学厚度产品、全球潜热通量产品,同源于中国风云三号卫星,共同构成中国国产卫星定量遥感产品体系,分别支撑大气环境演变分析与陆表能量水分交换研究。

充分彰显开放共享实际成效

中国科学院院士、可持续发展大数据国际研究中心主任郭华东在发布现场指出,当前,联合国2030年可持续发展议程已进入关键落实攻坚期,但全球治理仍面临突出的数据瓶颈。

同时,全球可持续发展治理的核心矛盾,已从过去的“数据总量不足”转变为“数据能力分布不均”。生态脆弱、发展滞后、最急需科学监测支撑的地区,往往最缺乏自主观测手段。地球大数据的价值,就在于能够弥合这种能力鸿沟。

他表示,可持续发展大数据国际研究中心数据产品既在发达国家科研人员中得到广泛使用,也在发展中国家用户中实现高频下载,充分彰显了开放共享的实际成效。

据悉,作为全球首个以大数据服务联合国2030年可持续发展议程的国际科研机构,可持续发展大数据国际研究中心自2021年成立以来,持续迭代可持续发展数据产品谱系,从全球生态、水资源监测,到非洲区域专项成果,持续向国际社会输出普惠性科学公共产品。

可持续发展大数据国际研究中心始终坚持开放共享机制,累计向全球174个国家和地区开放多学科科学数据。未来,该中心将持续迭代全球可持续发展数据产品体系,深化多源数据融合、人工智能解析与情景模拟技术研究,把中国对地观测领域的科技积累转化为普惠世界的国际公共产品。

Open Questions

  • 未来数据产品的更新频率如何?
  • 如何进一步提升发展中国家对该数据的实际应用率?

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This article was originally published by 中国新闻网.

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