Impacts of urban forests and landscape characteristics on land surface temperature in two urban agglomeration areas of China
Impacts of urban forests and landscape characteristics on land surface temperature in two urban agglomeration areas of China
复制标题
DOI：
10.1016/j.scs.2023.104909
复制
发表时间：
2023-09
影响因子：
11.7
通讯作者：
W. Shen;Qing Liu;Mei Ji;Jiaying He;Tao He;Chengquan Huang
中科院分区：
文献类型：
--
作者：
W. Shen;Qing Liu;Mei Ji;Jiaying He;Tao He;Chengquan Huang
准确描述城市森林变化有助于量化其对城市热环境的影响。以杭州市和肇庆市中国为例，提出了一种基于深度学习的方法，利用中国的高分数据及其生成的标签来提取森林/非森林类型。然后，我们探讨了城市森林格局对地表温度的影响。结果表明，高分1/6影像在城市森林/非森林制图中取得了较好的效果，准确率达到90%以上。结果表明，在杭州和肇庆，植树造林和砍伐森林的净降温分别为-0.62±0.30℃和-1.23±0.26℃，增温分别为1.71±0.16℃和1.29±0.14℃。平衡植树造林和砍伐森林的LST变化，发现由于砍伐森林而导致的总体变暖，特别是在杭州。从肇庆到杭州纬向降温减弱，增温增强，这可以用较强的蒸发效应和不一致的反照率效应来解释。另外，当其他类型转化为景观核心型时，降温作用更为明显，而当景观核心型转变为其他类型时，则表现出较弱的增温，尤其是肇庆地区。这项研究强调了设计合理的植树造林计划、避免砍伐森林活动和减少森林碎片化在制定有效的气候缓解战略方面的重要性。
Accurate characterization of urban forest change can help quantify its impact on the urban thermal environment. Taking Hangzhou City and Zhaoqing City, China as two cases, we proposed a deep learning-based approach to extract forest/non-forest types using China's Gaofen data and the labels it generates. We then explored the impacts of urban forest patterns on land surface temperature (LST). Our results indicate that Gaofen-1/6 images performed well for urban forest/non-forest mapping with an accuracy of over 90%. We found that afforestation and deforestation exerted a net cooling of -0.62±0.30°C and -1.23±0.26°C and warming of 1.71±0.16°C and 1.29±0.14°C in Hangzhou and Zhaoqing, respectively. Balancing the LST changes of both afforestation and deforestation found total warming due to deforestation, especially in Hangzhou. Latitudinal reduced cooling and enhanced warming were found from Zhaoqing to Hangzhou, which can be explained by strong evaporative effects and inconsistent albedo effects. Moreover, a more pronounced cooling when other types converted to landscape core type and a weaker warming when landscape core type converted to other types were detected, especially in Zhaoqing. This study highlights the importance of designing rational afforestation plans, avoiding deforestation activities, and reducing forest fragmentation in delineating effective climate mitigation strategies.