Research Progress of Monitoring and Evaluation of Sustainable Development Goals Based on Multisource Data
Received date: 2023-07-24
Revised date: 2023-11-05
Online published: 2024-03-05
Supported by
the National Natural Science Foundation of China(42201323);The Guangzhou Science and Technology Plan Project(2023A04J0252)
In 2015, the “2030 Agenda for Sustainable Development” (2030 ASD), adopted by the United Nations, set 17 Sustainable Development Goals (SDGs). Scholars worldwide have conducted continuous research on the monitoring and evaluation of SDGs. Data deficiency and inadequate index monitoring abilities are considered vital restrictions in the regular monitoring and evaluation of SDGs. The application of Multisource Data to the monitoring and evaluation of SDGs can effectively address these deficiencies. Research progress on SDGs based on Multisource Data can be categorized into three types: the first type focuses on the basic theory and method system of SDG monitoring and evaluation based on Multisource Data; The second type conducts SDG monitoring and evaluation case studies based on Multisource Data; The third type focuses on strengthening the primary capacity building related to Multisource Data. The application of multisource data can strengthen the evaluation of natural ecosystems, identify critical areas, analyze the interaction between humans and nature, effectively compensate for the lack of data and other deficiencies, and improve the timeliness and spatial and temporal resolution of indicator data, which can significantly enrich the evaluation index system of the SDGs. This study proposes to strengthen the application of Multisource Data in the study of SDGs from four aspects: to expand the application of Multisource Data in the SDGs, promote interdisciplinary and comprehensive research, pilot the application of Multisource Data in the national innovation-driven demonstration zone for implementing the UN's 2030 ASD, and strengthen the primary capacity building of Multisource Data.
Yichao WANG . Research Progress of Monitoring and Evaluation of Sustainable Development Goals Based on Multisource Data[J]. Advances in Earth Science, 2024 , 39(2) : 181 -192 . DOI: 10.11867/j.issn.1001-8166.2024.009
1 | International Union for Conservation of Nature (IUCN), World Wildlife Fund (WWF). World conservation strategy: living resource conservation for sustainable development[M]. Gland, Switzerland: IUCN, 1980. |
2 | United Nations. Transforming our world: the 2030 agenda for sustainable development[R]. United Nations, 2015. |
3 | International Council for Science (ICSU), International Social Science Council (ISSC). Review of the sustainable development goals: the science perspective[R]. Paris: International Council for Science, 2015. |
4 | Yonglong Lü, WANG Yichao, YUAN Jingjing, et al. The ecology of sustainability: progress and prospect[J]. Acta Ecologica Sinica, 2019, 39(10): 3 401-3 415. |
4 | 吕永龙, 王一超, 苑晶晶, 等. 可持续生态学[J]. 生态学报, 2019, 39(10): 3 401-3 415. |
5 | LU Y L, NAKICENOVIC N, VISBECK M, et al. Policy: five priorities for the UN sustainable development goals[J]. Nature, 2015, 520: 432-433. |
6 | 外交部网站. 中方发布《中国落实2030年可持续发展议程国别方案》[EB/OL]. (2016-10-13) [2023-10-20]. . |
7 | GUO Huadong, LIANG Dong, CHEN Fang, et al. Big Earth Data facilitates sustainable development goals[J]. Bulletin of Chinese Academy of Sciences, 2021, 36(8): 874-884. |
7 | 郭华东,梁栋,陈方,等. 地球大数据促进联合国可持续发展目标实现[J]. 中国科学院院刊, 2021, 36(8): 874-884. |
8 | LU Y L, ZHANG Y Q, CAO X H, et al. Forty years of reform and opening up: China’s progress toward a sustainable path[J]. Science Advances, 2019, 5(8). DOI:10.1126/sciadv.aau9413 . |
9 | NILSSON M. A draft framework for understanding SDG interactions[J]. Chemistry International, 2016, 38(6). DOI:10.1515/ci-2016-0632 . |
10 | Yonglong Lü, WANG Yichao, YUAN Jingjing, et al. Some thoughts on promoting the implementation of sustainable development goals in China[J]. China Population, Resources and Environment,2018, 28(1): 1-9. |
10 | 吕永龙,王一超,苑晶晶,等.关于中国推进实施可持续发展目标的若干思考[J]. 中国人口·资源与环境, 2018, 28(1): 1-9. |
11 | NIU Wenyuan, MA Ning, LIU Yijun. World sustainable development: from action to science—sustainability science and the annual report for world sustainable development 2015[J]. Bulletin of Chinese Academy of Sciences, 2015, 30(5): 573-585. |
11 | 牛文元, 马宁, 刘怡君. 可持续发展从行动走向科学——《2015世界可持续发展年度报告》[J]. 中国科学院院刊, 2015, 30(5): 573-585. |
12 | SCHMIDT-TRAUB G, KROLL C, TEKSOZ K, et al. National baselines for the sustainable development goals assessed in the SDG Index and dashboards[J]. Nature Geoscience, 2017, 10(8): 547-555. |
13 | FULDAUER L I, THACKER S, HAGGIS R A, et al. Targeting climate adaptation to safeguard and advance the sustainable development goals[J]. Nature Communications, 2022, 13.DOI:10.1038/s41467-022-31202-w . |
14 | BIERMANN F, HICKMANN T, SéNIT C A, et al. Scientific evidence on the political impact of the sustainable development goals[J]. Nature Sustainability, 2022, 5(9): 795-800. |
15 | LENZEN M, GESCHKE A, WEST J, et al. Implementing the material footprint to measure progress towards sustainable development goals 8 and 12[J]. Nature Sustainability, 2022, 5(2): 157-166. |
16 | ALLEN C, NEJDAWI R, EL-BABA J, et al. Indicator-based assessments of progress towards the Sustainable Development Goals (SDGs): a case study from the Arab region[J]. Sustainability Science, 2017, 12(6): 975-989. |
17 | COLE M J, BAILEY R M, NEW M G. Spatial variability in sustainable development trajectories in South Africa: provincial level safe and just operating spaces[J]. Sustainability Science, 2017, 12(5): 829-848. |
18 | WANG Y C, LU Y L, HE G Z, et al. Spatial variability of Sustainable development goals in China: a provincial level evaluation[J]. Environmental Development, 2020, 35. DOI:10.1016/j.envdev.2019.100483 . |
19 | XU Z C, CHAU S N, CHEN X Z, et al. Assessing progress towards sustainable development over space and time[J]. Nature, 2020, 577: 74-78. |
20 | OMISORE A G. Attaining sustainable development goals in sub-Saharan Africa: the need to address environmental challenges[J]. Environmental Development, 2018, 25: 138-145. |
21 | RAI S M, BROWN B D, RUWANPURA K N. SDG 8: decent work and economic growth—a gendered analysis[J]. World Development, 2019, 113: 368-380. |
22 | WANG M R, JANSSEN A B G, BAZIN J, et al. Accounting for interactions between sustainable development goals is essential for water pollution control in China[J]. Nature Communications, 2022, 13. DOI:10.1038/s41467-022-28351-3 . |
23 | RASUL G. Managing the food, water, and energy nexus for achieving the sustainable development goals in South Asia[J]. Environmental Development, 2016, 18: 14-25. |
24 | ZHANG J Z, WANG S, ZHAO W W, et al. Finding pathways to synergistic development of sustainable development goals in China[J]. Humanities and Social Sciences Communications, 2022, 9(1). DOI:10.1057/s41599-022-01036-4 . |
25 | HORAN D. A framework to harness effective partnerships for the sustainable development goals[J]. Sustainability Science, 2022, 17(4): 1 573-1 587. |
26 | WU X T, FU B J, WANG S, et al. Decoupling of SDGs followed by re-coupling as sustainable development progresses[J]. Nature Sustainability, 2022, 5: 452-459. |
27 | DI LUCIA L, SLADE R, KHAN J. Decision-making fitness of methods to understand sustainable development goal interactions[J]. Nature Sustainability, 2022, 5(2): 131-138. |
28 | ALCAMO J. Water quality and its interlinkages with the Sustainable Development Goals[J]. Current Opinion in Environmental Sustainability, 2019, 36: 126-140. |
29 | FL?RKE M, B?RLUND I, van VLIET M T H, et al. Analysing trade-offs between SDGs related to water quality using salinity as a marker[J]. Current Opinion in Environmental Sustainability, 2019, 36: 96-104. |
30 | ALLEN C, METTERNICHT G, WIEDMANN T. Initial progress in implementing the Sustainable Development Goals (SDGs): a review of evidence from countries[J]. Sustainability Science, 2018, 13(5): 1 453-1 467. |
31 | SALVIA A L, LEAL FILHO W, BRANDLI L L, et al. Assessing research trends related to sustainable development goals: local and global issues[J]. Journal of Cleaner Production, 2019, 208: 841-849. |
32 | SACHS J, SCHMIDT-TRAUB G, KROLL C, et al. Sustainable development report 2020[M]. Cambridge, UK: Cambridge University Press, 2021. |
33 | SACHS J D, KROLL C, LAFORTUNE G, et al. Sustainable development report 2021: the decade of action for the sustainable development goals[R]. Cambridge: Cambridge University Press, 2021. |
34 | SACHS J, KROLL C, LAFORTUNE G, et al. Sustainable development report 2022[M]. Cambridge, UK: Cambridge University Press, 2022. |
35 | XUE Lan, WENG Lingfei. The policy opportunities and challenges in China’s implementation of 2030 sustainable development goals[J]. China Soft Science, 2017(1): 1-12. |
35 | 薛澜, 翁凌飞. 中国实现联合国2030年可持续发展目标的政策机遇和挑战[J]. 中国软科学, 2017(1): 1-12. |
36 | United Nations. Report of the Inter-agency and expert group on sustainable development goal indicators[R]. New York: United Nations, 2016. |
37 | United Nations. The sustainable development goals report 2021[R]. New York: United Nations, 2021: 60-61. |
38 | FU Bojie. The united nations sustainable development goals and the historical tasks of geographic science [J]. Science and Technology Review, 2020, 38(13): 19-24. |
38 | 傅伯杰.联合国可持续发展目标与地理科学的历史任务[J].科技导报,2020, 38(13): 19-24. |
39 | GUO Huadong. A project on big Earth data science engineering[J]. Bulletin of Chinese Academy of Sciences, 2018, 33(8): 818-824. |
39 | 郭华东.地球大数据科学工程[J].中国科学院院刊,2018, 33(8): 818-824. |
40 | CHEN Jun, REN Huiru, Geng Wen, et al. Quantitative measurement and monitoring Sustainable Development Goals (SDGs) with geospatial information[J]. Geomatics World, 2018, 25(1): 1-7. |
40 | 陈军,任惠茹,耿雯,等.基于地理信息的可持续发展目标(SDGs)量化评估[J].地理信息世界,2018,25(1): 1-7. |
41 | COCHRAN F, DANIEL J, JACKSON L, et al. Earth observation-based ecosystem services indicators for national and subnational reporting of the sustainable development goals[J]. Remote Sensing of Environment, 2020, 244. DOI:10.1016/j.rse.2020.111796 . |
42 | GUO H D, CHEN F, SUN Z C, et al. Big Earth Data: a practice of sustainability science to achieve the sustainable development goals[J]. Science Bulletin, 2021, 66(11): 1 050-1 053. |
43 | GIULIANI G, MAZZETTI P, SANTORO M, et al. Knowledge generation using satellite Earth observations to support Sustainable Development Goals (SDG): a use case on land degradation[J]. International Journal of Applied Earth Observation and Geoinformation, 2020, 88. DOI:10.1016/j.jag.2020.102068 . |
44 | WANG Juanle, WEI Haishuo, YAN Xinrong, et al. Review and perspective for resources and environmental information development and service along the economic corridors of the “Belt and Road” initiative[J]. Journal of Geo-Information Science, 2022, 24(6): 1 019-1 033. |
44 | 王卷乐, 魏海硕, 严欣荣, 等. “一带一路” 经济走廊资源环境信息开发利用研究进展与展望[J]. 地球信息科学学报, 2022, 24(6): 1 019-1 033. |
45 | GUO H D, WANG L Z, LIANG D. Big Earth Data from space: a new engine for Earth science[J]. Science Bulletin, 2016, 61(7): 505-513. |
46 | HASSANI H, HUANG X, MACFEELY S, et al. Big data and the United Nations Sustainable Development Goals (UN SDGs) at a glance[J]. Big Data and Cognitive Computing, 2021, 5(3). DOI:10.3390/bdcc5030028 . |
47 | WANG Penglong, WANG Bao, XU Bingxin, et al. Progress and prospect of sustainable development goals in underdeveloped mountainous areas[J]. Advances in Earth Science, 2022, 37(9): 937-948. |
47 | 王鹏龙,王宝,徐冰鑫,等.欠发达山区可持续发展目标研究进展与展望[J].地球科学进展,2022, 37(9): 937-948. |
48 | KAVVADA A, METTERNICHT G, KERBLAT F, et al. Towards delivering on the sustainable development goals using Earth observations[J]. Remote Sensing of Environment, 2020, 247. DOI:10.1016/j.rse.2020.111930 . |
49 | GAO Jun, ZHANG Zhonghao, LI Weiyue, et al. Urban sustainable development evaluation with big earth data: data, indicators, and methods[J]. Bulletin of Chinese Academy of Sciences, 2021, 36(8): 940-949. |
49 | 高峻, 张中浩, 李巍岳, 等. 地球大数据支持下的城市可持续发展评估: 指标、数据与方法[J]. 中国科学院院刊, 2021, 36(8): 940-949. |
50 | WANG Futao, YU Rencheng, LI Jingxi, et al. Big Earth Data in support of marine sustainable development[J]. Bulletin of Chinese Academy of Sciences, 2021, 36(8): 932-939. |
50 | 王福涛, 于仁成, 李景喜, 等. 地球大数据支撑海洋可持续发展[J]. 中国科学院院刊, 2021, 36(8): 932-939. |
51 | HUANG Chunlin, SUN Zhongchang, JIANG Huiping, et al. Big Earth Data supports sustainable cities and communities: progress and challenges[J]. Bulletin of Chinese Academy of Sciences, 2021, 36(8): 914-922. |
51 | 黄春林, 孙中昶, 蒋会平, 等. 地球大数据助力“可持续城市和社区” 目标实现:进展与挑战[J]. 中国科学院院刊, 2021, 36(8): 914-922. |
52 | HUANG Lei, JIA Gensuo, FANG Shibo, et al. Big Earth Data for UN sustainable development goals: climate change and action[J]. Bulletin of Chinese Academy of Sciences, 2021, 36(8): 923-931. |
52 | 黄磊, 贾根锁, 房世波, 等. 地球大数据支撑联合国可持续发展目标:气候变化与应对[J]. 中国科学院院刊, 2021, 36(8): 923-931. |
53 | LU Shanlong, JIA Li, JIANG Yunzhong, et al. Progress and prospect on monitoring and evaluation of united nations SDG 6 (clean water and sanitation) target[J]. Bulletin of Chinese Academy of Sciences, 2021, 36(8): 904-913. |
53 | 卢善龙, 贾立, 蒋云钟, 等. 联合国可持续发展目标6(清洁饮水与卫生设施)监测评估:进展与展望[J]. 中国科学院院刊, 2021, 36(8): 904-913. |
54 | MONDEJAR M E, AVTAR R, DIAZ H L B, et al. Digitalization to achieve sustainable development goals: steps towards a smart green planet[J]. The Science of the Total Environment, 2021, 794. DOI:10.1016/j.scitotenv.2021.148539 . |
55 | TAMIMINIA H, SALEHI B, MAHDIANPARI M, et al. Google Earth Engine for geo-big data applications: a meta-analysis and systematic review[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 164: 152-170. |
56 | WEISE K, H?FER R, FRANKE J, et al. Wetland extent tools for SDG 6.6.1 reporting from the Satellite-based Wetland Observation Service (SWOS)[J]. Remote Sensing of Environment, 2020, 247. DOI:10.1016/j.rse.2020.111892 . |
57 | GUO H D, LIANG D, SUN Z C, et al. Measuring and evaluating SDG indicators with Big Earth Data[J]. Science Bulletin, 2022, 67(17): 1 792-1 801. |
58 | 空天信息创新研究院. 中国科学院发布《地球大数据支撑可持续发展目标报告》[EB/OL]. (2019-09-27) [2023-10-20]. . |
59 | International Research Center of Big Data for Sustainable Development Goals, Chinese Academy of Sciences (CBAS, CAS). Big Earth Data in support of the sustainable development goals (2020) [R]. Beijing: Science Press,2020. |
59 | 中国科学院 可持续发展大数据国际研究中心. 地球大数据支撑可持续发展目标报告(2020)[R]. 北京:科学出版社,2020. |
60 | International Research Center of Big Data for Sustainable Development Goals, Chinese Academy of Sciences (CBAS, CAS). Big Earth Data in support of the sustainable development goals (2021) [R]. Beijing: Science Press,2021. |
60 | 中国科学院可持续发展大数据国际研究中心. 地球大数据支撑可持续发展目标报告(2021)[R]. 北京:科学出版社,2021. |
61 | International Research Center of Big Data for Sustainable Development Goals, Chinese Academy of Sciences (CBAS, CAS). Big Earth Data in support of the sustainable development goals (2022) [R]. Beijing: Science Press,2022. |
61 | 中国科学院可持续发展大数据国际研究中心. 地球大数据支撑可持续发展目标报告(2022)[R]. 北京:科学出版社,2022. |
62 | CHEN Jun, PENG Shu, ZHAO Xuesheng, et al. Measuring regional progress towards SDGs by combining geospatial and statistical information[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(4): 473-479. |
62 | 陈军, 彭舒, 赵学胜, 等. 顾及地理空间视角的区域SDGs综合评估方法与示范[J]. 测绘学报, 2019, 48(4): 473-479. |
63 | WU B F, TIAN F Y, ZHANG M, et al. Cloud services with big data provide a solution for monitoring and tracking sustainable development goals[J]. Geography and Sustainability, 2020, 1(1): 25-32. |
64 | LI Z L, GONG X Y, JUN C, et al. Functional requirements of systems for visualization of Sustainable Development Goal (SDG) indicators[J]. Journal of Geovisualization and Spatial Analysis, 2020, 4(1). DOI:10.1007/s41651-019-0046-x . |
65 | HUANG Chunlin, FENG Yaya, GAO Feng, et al. Integrated assessment of SDG progress of national innovation demonstration zones for the 2030 agenda for sustainable development: a case study of Lincang City, Yunnan Province[J]. Advances in Earth Science, 2023, 38(10): 987-998. |
65 | 黄春林,冯娅娅,高峰,等. 可持续发展议程创新示范区SDGs综合评估——以临沧市为例[J]. 地球科学进展,2023, 38(10): 987-998. |
66 | SINGH A, KANAUJIA A, SINGH V K, et al. Artificial intelligence for sustainable development goals: bibliometric patterns and concept evolution trajectories[J]. Sustainable Development, 2023. DOI:10.1002/sd.2706 . |
67 | JAIN A, GUE I H, JAIN P. Research trends, themes, and insights on artificial neural networks for smart cities towards SDG-11[J]. Journal of Cleaner Production, 2023, 412. DOI:10.1016/j.jclepro.2023.137300 . |
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