Guo Huadong, Chen Fulong, Tang Yunwei, Ding Yanbin, Chen Min, Zhou Wei, Zhu Meng, Gao Sheng, Yang Ruixia, Zheng Wenwu, Fang Chaoyang, Lin Hui, Roders Ana Pereira, Cigna Francesca, Tapete Deodato, Xu Bing
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China.
International Centre on Space Technologies for Natural and Cultural Heritage Under the Auspices of UNESCO, Beijing 100094, China.
Innovation (Camb). 2023 Aug 12;4(5):100496. doi: 10.1016/j.xinn.2023.100496. eCollection 2023 Sep 11.
The quantification of the extent and dynamics of land-use changes is a key metric employed to assess the progress toward several Sustainable Development Goals (SDGs) that form part of the United Nations 2030 Sustainable Development Agenda. In terms of anthropogenic factors threatening the conservation of heritage properties, such a metric aids in the assessment of achievements toward heritage sustainability solving the problem of insufficient data availability. Therefore, in this study, 589 cultural World Heritage List (WHL) properties from 115 countries were analyzed, encompassing globally distributed and statistically significant samples of "monuments and groups of buildings" (73.2%), "sites" (19.3%), and "cultural landscapes" (7.5%). Land-cover changes in the WHL properties between 2015 and 2020 were automatically extracted from big data collections of high-resolution satellite imagery accessed via Google Earth Engine using intelligent remote sensing classification. Sustainability indexes (SIs) were estimated for the protection zones of each property, and the results were employed, for the first time, to assess the progress of each country toward SDG Target 11.4. Despite the apparent advances in SIs (10.4%), most countries either exhibited steady (20.0%) or declining (69.6%) SIs due to limited cultural investigations and enhanced negative anthropogenic disturbances. This study confirms that land-cover changes are among serious threats for heritage conservation, with heritage in some countries wherein the need to address this threat is most crucial, and the proposed spatiotemporal monitoring approach is recommended.
土地利用变化的程度和动态量化是一项关键指标,用于评估在联合国2030年可持续发展议程中的若干可持续发展目标(SDG)方面取得的进展。就威胁遗产地保护的人为因素而言,这样一个指标有助于评估在遗产可持续性方面取得的成就,解决数据可用性不足的问题。因此,在本研究中,分析了来自115个国家的589处世界文化遗产名录(WHL)遗产地,涵盖了全球分布且具有统计学意义的“古迹和建筑群”(73.2%)、“遗址”(19.3%)和“文化景观”(7.5%)样本。利用智能遥感分类,从通过谷歌地球引擎获取的高分辨率卫星图像大数据集中自动提取了2015年至2020年期间WHL遗产地的土地覆盖变化。估算了每个遗产地保护区的可持续性指数(SI),并首次将结果用于评估每个国家在可持续发展目标11.4方面的进展。尽管SI有明显进步(10.4%),但由于文化调查有限和负面人为干扰加剧,大多数国家的SI要么保持稳定(20.0%),要么下降(69.6%)。本研究证实,土地覆盖变化是遗产保护面临的严重威胁之一,在一些国家,解决这一威胁的需求最为关键,并建议采用所提出的时空监测方法。