可持续发展目标空间观测与评估

陈方; 贾慧聪; 王雷

doi:10.11728/cjss2023.06.2023-0108

可持续发展目标空间观测与评估

doi: 10.11728/cjss2023.06.2023-0108 cstr: 32142.14.cjss2023.06.2023-0108

陈方^{1, 2, 3,},
贾慧聪^{1, 2},
王雷^{1, 2}

1.
可持续发展大数据国际研究中心　北京　100094
2.
中国科学院空天信息创新研究院数字地球重点实验室　北京　100094
3.
中国科学院大学　北京　100049

基金项目: 国家重点研发计划项目资助（2022 YFC3800700）

详细信息

作者简介:

陈方：E-mail：chenfang_group@radi.ac.cn

中图分类号: P715
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出版历程
- 收稿日期: 2023-09-28
- 修回日期: 2023-11-07
- 网络出版日期: 2023-12-19

Spatial Observation and Assessment of Sustainable Development Goals

CHEN Fang^{1, 2, 3
,},
JIA Huicong^{1, 2},
WANG Lei^{1, 2}

1.
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094
2.
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094
3.
University of Chinese Academy of Sciences, Beijing 100049

摘要

摘要: 联合国《变革我们的世界：2030年可持续发展议程》已实施过半，国际社会广泛关切2030年议程前半程的有益经验和不利教训，并为后半程和未来可持续发展寻找指引和方向。及时、准确数据的缺失，仍然是制约人类应对长期、短期可持续发展问题的短板，更是阻碍可持续发展目标（Sustainable Development Goals, SDGs）进展监测、实施决策的瓶颈。作为全面、综合、整体研究地球系统的重要手段，空间观测技术是弥补当前SDGs指标统计数据不足、时空信息缺失的重要方法。本文介绍了空间观测技术在监测和评估SDG2零饥饿、SDG6清洁饮水和卫生设施、SDG7经济适用的清洁能源、SDG11可持续城市和社区、SDG13气候行动、SDG14水下生物和SDG 15陆地生物等7个可持续发展目标的研究进展及挑战，并对SDGs指标空间观测体系建设、空间观测数据共享和应用、SDGs监测评估方法研究等进行探讨。
- 空间观测 /
- 可持续发展目标 /
- 指标监测与评估
Abstract: Since 2015, the United Nations has reached the halfway point in implementing the 2030 agenda for sustainable development. During this period, progress on the Sustainable Development Goals (SDGs) faced challenges. In order to chart a course for future sustainable development, it’s essential for the worldwide community to learn from the experiences and lessons of the initial phase of the 2030 agenda, strengthening the implementation of the SDGs in the second phase. The lack of timely and accurate data remains a weak point in responding to both long and short-term issues and is a bottleneck in the implementation and monitoring of the SDGs and the development of science-based decision-making. Spatial observations, as a representative digital technology, can play an important role in bridging the gap between current statistical data and spatiotemporal information of the SDGs. This paper introduces important advances and existing issues in spatial observation techniques in the monitoring and evaluation of the seven sustainable development goals. Finally, the construction of SDGs spatial observation system, sharing and application of spatial observation data, and SDGs monitoring and evaluation methods are discussed.
- Space observation /
- Sustainable Development Goals (SDGs) /
- Monitoring and assessment of SDGs

HTML全文

图 1 基于空间观测技术的全球森林覆盖分布

Figure 1. Global forests cover distribution based on spatial observation technology

下载: 全尺寸图片幻灯片

图 2 基于统计数据的全球国别尺度森林覆盖率分布

Figure 2. Global forest coverage distribution at the national scale based on statistical data

下载: 全尺寸图片幻灯片

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