1 |
Feng R, Wang F, Zhou M, et al. Spatiotemporal effects of urban ecological land transitions to thermal environment change in mega-urban agglomeration[J]. Science of The Total Environment,2022:156158. DOI: .
doi: 10.1016/j.scitotenv.2022. 156158
|
2 |
Wang Meiya, Xu Hanqiu. Study on the random forest regression model of land cover and thermal environment in megacities[J]. Remote Sensing Technology and Application, 2022, 37(2): 379-388.
|
2 |
王美雅, 徐涵秋. 超大城市土地覆盖与热环境的随机森林回归模型研究[J]. 遥感技术与应用, 2022, 37(2): 379-388.
|
3 |
Lin J Y, He X Y, Lu S Y, et al. Investigating the influence of three-dimensional building configuration on urban pluvial flooding using random forest algorithm [J]. Environmental Research,2021,196:110438. DOI: .
doi: 10.1016/j.envres. 2020. 110438
|
4 |
Xu Y, Ren C, Ma P F, et al. Urban morphology detection and computation for urban climate research [J]. Landscape and Urban Planning, 2017, 167: 212-224. DOI: .
doi: 10.1016/j.landurbplan.2017.06.018
|
5 |
Yang Jun, Guo Andong, Xi Jianchao, et al. Spatial-temporal differentiation of three-dimensional urban landscape pattern: A case study of Zhongshan District in Dalian[J]. Acta Geographica Sinica, 2017, 72(4): 646-656.
|
5 |
杨俊, 国安东, 席建超, 等. 城市三维景观格局时空分异特征研究——以大连市中山区为例[J]. 地理学报, 2017, 72(4): 646-656.
|
6 |
Li Yao, Pan JingHu, Luo Jing. Urban heat environment and surface energy balance analysis of Xi 'an based on LDCM remote sensing[J]. Remote Sensing Technology and Application, 2015,30(5):868-875.
|
6 |
李瑶, 潘竟虎, 罗晶. 基于Landsat 8影像和能量平衡的西安市热场格局研究[J]. 遥感技术与应用, 2015, 30(5): 868-875.
|
7 |
Lu Y P, Yue W Z, Liu Y, et al. Investigating the spatiotemporal non-stationary relationships between urban spatial form and land surface temperature: A case study of Wuhan, China [J]. Sustainable Cities and Society, 2021, 72: 103070. DOI: .
doi: 10.1016/j.scs.2021.103070
|
8 |
Feng Zhangxian, Wang Shijun, Jin Shanhe, et al. Effects of urban morphology and wind conditions on land surface temperature in Changchun[J]. Acta Geographica Sinica, 2019, 74(5): 902-911.
|
8 |
冯章献, 王士君, 金珊合, 等. 长春市城市形态及风环境对地表温度的影响[J]. 地理学报, 2019, 74(5): 902-911.
|
9 |
Li Chao, Li Xuemei, Tian Yalin, et al. Time and space fusion model comparison of temperature vegetation drought index[J]. Remote Sensing Technology and Application, 2020,35(4):832-844.
|
9 |
李超, 李雪梅, 田亚林, 等. 温度植被干旱指数时空融合模型对比[J]. 遥感技术与应用, 2020, 35(4): 832-844.
|
10 |
Lu Dadao, Sun Dongqi. Development and management tasks of the Yellow River Basin: A preliminary understanding and suggestion[J]. Acta Geographica Sinica, 2019, 74(12): 2431-2436.
|
10 |
陆大道, 孙东琪. 黄河流域的综合治理与可持续发展[J]. 地理学报, 2019, 74(12): 2431-2436.
|
11 |
Kong F, Chen J, Middel A, et al. Impact of 3-D urban landscape patterns on the outdoor thermal environment: A modelling study with SOLWEIG[J]. Computers, Environment and Urban Systems, 2022, 94: 101773. DOI: .
doi: 10.1016/j.compenvurbsys.2022.101773
|
12 |
Yuan B, Zhou L, Dang X W, et al. Separate and combined effects of 3D building features and urban green space on land surface temperature[J]. Journal of Environmental Management, 2021, 295: 113116. DOI: .
doi: 10.1016/j.jenvman.2021.113116
|
13 |
Wang Cuiping, Wang Haowei, Zheng Yuanmao. Evaluation and optimization of three-dimensional spatial distribution for urban complex: A case study on the coastal zone of Xiamen Island[J]. Acta Ecologica Sinica, 2020, 40(22): 8119-8129.
|
13 |
王翠平, 王豪伟, 郑渊茂. 城市建筑群三维空间布局评价与优化——以厦门岛滨海地带为例[J]. 生态学报, 2020, 40(22): 8119-8129.
|
14 |
Liu Y P, Chen C, Li J J, et al. Characterizing three dimensional (3-D) morphology of residential buildings by landscape metrics[J]. Landscape Ecology, 2020, 35: 2587-2599. DOI: .
doi: 10.1007/s10980-020-01084-8
|
15 |
Song J C, Chen W, Zhang J J, et al. Effects of building density on land surface temperature in China: Spatial patterns and determinants[J]. Landscape and Urban Planning, 2020, 198: 103794. DOI: .
doi: 10.1016/j.landurbplan.2020.103794
|
16 |
Estoque R C, Murayama Y, Myint S W. Effects of landscape composition and pattern on land surface temperature: An urban heat island study in the megacities of Southeast Asia[J]. Science of the Total Environment, 2017, 577: 349-359. DOI: .
doi: 10.1016/j.scitotenv.2016.10.195
|
17 |
Zhu Z Z, Zhou D, Wang Y P, et al. Assessment of urban surface and canopy cooling strategies in high-rise residential communities[J]. Journal of Cleaner Production, 2021, 288: 125599. DOI: .
doi: 10.1016/j.jclepro.2020.125599
|
18 |
Shen Zhongjian, Zeng Jian. Spatial relationship of urban development to land surface temperature in three cities of southern Fujian[J]. Acta Geographica Sinica, 2021,76(3): 566-583.
|
18 |
沈中健, 曾坚. 闽南三市城镇发展与地表温度的空间关系[J]. 地理学报, 2021, 76(3): 566-583.
|
19 |
Liu X, Zhou Y Y, Yue W Z, et al. Spatiotemporal patterns of summer urban heat island in Beijing, China using an improved land surface temperature[J]. Journal of Cleaner Production, 2020, 257: 120529. DOI: .
doi: 10.1016/j.jclepro.2020.120529
|
20 |
Xu X C, Ou J P, Liu P H, et al. Investigating the impacts of three-dimensional spatial structures on CO2 emissions at the urban scale[J]. Science of the Total Environment, 2021, 762: 143096. DOI: .
doi: 10.1016/j.scitotenv.2020.143096
|
21 |
Li Yongkang, Wang Xinjun, Ma Yanfei, et al. Downscaling land surface temperature through AMSR-2 observations by using machine learning algorithms[J]. Remote Sensing Technology and Application, 2022, 37(2): 474-487.
|
21 |
李永康, 王新军, 马燕飞, 等. 基于机器学习算法的AMSR-2地表温度降尺度研究[J]. 遥感技术与应用, 2022, 37(2): 474-487.
|
22 |
Li Da, Lin Longzhen, Lin Zhen, et al. EKC test of ecological protection and high-quality development in the Yellow River Basin[J]. Acta Ecologica Sinica, 2021, 41(10): 3965-3974.
|
22 |
李达, 林龙圳, 林震, 等. 黄河流域生态保护和高质量发展的EKC检验[J]. 生态学报, 2021, 41(10): 3965-3974.
|
23 |
Wang Penglong, Gao Feng, Huang Chunlin, et al. Progresson sustainable city assessment index system for SDGs[J]. Remote Sensing Technology and Application,2018,33(5): 784-792.
|
23 |
王鹏龙, 高峰, 黄春林, 等. 面向SDGs的城市可持续发展评价指标体系进展研究[J]. 遥感技术与应用, 2018, 33(5): 784-792.
|
24 |
Lu Yang, Yang Jiansi, Huang Xin,et al. Assessing the effects of urban morphology on Land Surface Temperature in local Climate Zones[J]. Geomatics and Information Science of Wuhan University,2021,46(9)1412-1422.
|
24 |
卢阳, 杨建思, 黄昕, 等. 面向局部气候带的城市形态对地表温度的影响分析[J]. 武汉大学学报(信息科学版),2021,46(9)1412-1422.
|
25 |
Huang X, Wang Y. Investigating the effects of 3D urban morphology on the surface urban heat island effect in urban functional zones by using high-resolution remote sensing data: A case study of Wuhan, Central China[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 152: 119-131. DOI: .
doi: 10.1016/j.isprsjprs.2019.04.010
|
26 |
Yang J, Wang Y C, Xue B, et al. Contribution of urban ventilation to the thermal environment and urban energy demand: Different climate background perspectives[J]. Science of the Total Environment, 2021, 795: 148791. DOI: .
doi: 10.1016/j.scitotenv.2021.148791
|
27 |
Pan Minghui, Lan Siren, Zhu Liying, et al. Influence of landscape pattern types on heat island effect over central Fuzhou City[J]. China Environmental Science, 2020, 40(6): 2635-2646.
|
27 |
潘明慧, 兰思仁, 朱里莹, 等. 景观格局类型对热岛效应的影响——以福州市中心城区为例[J]. 中国环境科学, 2020, 40(6): 2635-2646.
|
28 |
Jiang Sida, Zhan Wenfeng, Yang Jun,et al. Urban heat island studies based on local climate zones: A systematic overview[J]. Acta Geographica Sinica, 2020, 75(9): 1860-1878.
|
28 |
江斯达,占文凤,杨俊,等. 局地气候分区框架下城市热岛时空分异特征研究进展[J].地理学报,2020,75(9):1860-1878.
|
29 |
Wang Y N, Yi G H, Zhou X B, et al. Spatial distribution and influencing factors on urban land surface temperature of twelve megacities in China from 2000 to 2017[J]. Ecological Indicators,2021,125:107533. DOI: .
doi: 10.1016/j.ecolind.2021.107533
|
30 |
Tran H, Uchihama D, Ochi S, et al. Assessment with satellite data of the urban heat island effects in Asian mega cities[J]. International Journal of Applied Earth Observation and Geoinformation,2006,8:34-48. DOI: .
doi: 10.1016/j.jag. 2005. 05.003
|
31 |
Chen X, Zhang Y P. Impacts of urban surface characteristics on spatiotemporal pattern of land surface temperature in Kunming of China[J]. Sustainable Cities and Society, 2017, 32: 87-99. DOI: .
doi: 10.1016/j.scs.2017.03.013
|
32 |
Zhang X M, Estoque R C, Murayama Y. An urban heat island study in Nanchang City, China based on land surface temperature and social-ecological variables[J]. Sustainable Cities and Society, 2017, 32: 557-568. DOI: .
doi: 10.1016/j.scs. 2017. 05.005
|
33 |
Hou L, Yue W Z, Liu X. Spatiotemporal patterns and drivers of summer heat island in Beijing-Tianjin-Hebei Urban Agglomeration, China[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 7516-7527. DOI: .
doi: 10.1109/JSTARS.2021.3094559
|
34 |
Xiong Ying, Zhang Fang. Thermal environment effects of urban human settlements and influencing factors based on multi-source data: A case study of Changsha city[J]. Acta Geographica Sinica, 2020, 75(11): 2443-2458.
|
34 |
熊鹰, 章芳. 基于多源数据的长沙市人居热环境效应及其影响因素分析[J]. 地理学报, 2020, 75(11): 2443-2458.
|
35 |
Yao Yonghui, Zhang Baiping, Han Fang. MODIS-based air temperature estimation in the Hengduan Mountains and its spatio-temporal analysis[J]. Acta Geographica Sinica,2011,66(7): 917-927.
|
35 |
姚永慧, 张百平, 韩芳. 基于Modis地表温度的横断山区气温估算及其时空规律分析[J]. 地理学报, 2011, 66(7): 917-927.
|
36 |
Qiao Zhi, Huang Ningyu, Xu Xinliang, et al. Spatio-temporal pattern and evolution of the urban thermal landscape in metropolitan Beijing between 2003 and 2017[J]. Acta Geographica Sinica, 2019, 74(3): 475-489.
|
36 |
乔治, 黄宁钰, 徐新良, 等. 2003—2017年北京市地表热力景观时空分异特征及演变规律[J]. 地理学报, 2019, 74(3): 475-489.
|
37 |
Wang X, Du P J, Chen D M, et al. Characterizing urbanization-induced land surface phenology change from time-series remotely sensed images at fine spatio-temporal scale: A case study in Nanjing, China (2001—2018)[J]. Journal of Cleaner Production,2020,274:122487. DOI: .
doi: 10.1016/j.jclepro.2020. 122487
|
38 |
Cao Q, Luan Q Z, Liu Y P, et al. The effects of 2D and 3D building morphology on urban environments: A multi-scale analysis in the Beijing metropolitan region[J]. Building and Environment,2021,192: 107635. DOI: .
doi: 10.1016/j.buildenv. 2021.107635
|
39 |
Liu Y X, Peng J, Wang Y L. Efficiency of landscape metrics characterizing urban land surface temperature[J]. Landscape and Urban Planning, 2018, 180: 36-53. DOI: .
doi: 10.1016/j.landurbplan.2018.08.006
|
40 |
Sun F Y, Liu M, Wang Y C, et al. The effects of 3D architectural patterns on the urban surface temperature at a neighborhood scale: Relative contributions and marginal effects[J]. Journal of Cleaner Production, 2020, 258: 120706. DOI: .
doi: 10.1016/j.jclepro.2020.120706
|
41 |
Chen J K, Zhan W F, Jin S G, et al. Separate and combined impacts of building and tree on urban thermal environment from two-and three-dimensional perspectives[J]. Building and Environment, 2021, 194: 107650. DOI: .
doi: 10.1016/j.buildenv.2021.107650
|
42 |
Yang J, Yang Y X, Sun D Q, et al. Influence of urban morphological characteristics on thermal environment[J]. Sustainable Cities and Society, 2021, 72: 103045. DOI: .
doi: 10.1016/j.scs.2021.103045
|
43 |
Alexander C. Influence of the proportion, height and proximity of vegetation and buildings on urban land surface temperature[J]. International Journal of Applied Earth Observations and Geoinformation, 2021, 95: 102265. DOI: .
doi: 10.1016/j.jag.2020.102265
|
44 |
Guo J M, Han G F, Xie Y S, et al. Exploring the relationships between urban spatial form factors and land surface temperature in mountainous area: A case study in Chongqing city, China[J]. Sustainable Cities and Society, 2020, 61: 102286. DOI: .
doi: 10.1016/j.scs.2020.102286
|
45 |
Jiménez-Muñoz J C, Sobrino J A, Mattar C,et al.Atmospheric correction of optical imagery from MODIS and Reanalysis atmospheric products[J]. Remote Sensing of Environment,2010,114(10):2195-2210. DOI: .
doi: 10.1016/j.rse.2010.04.022
|
46 |
Barsi J A, Barker J L, Schott J R. An atmospheric correction parameter calculator for a single thermal band earth-sensing instrument[J]. International Geoscience and Remote Sensing Symposium,2003,5:3014-3016. DOI: .
doi: 10.1109/IGARSS. 2003.1294665
|
47 |
Yao L, Li T, Xu M X, et al. How the landscape features of urban green space impact seasonal land surface temperatures at a city-block-scale: An urban heat island study in Beijing, China[J]. Urban Forestry & Urban Greening, 2020, 52: 126704. DOI: .
doi: 10.1016/j.ufug.2020.126704
|
48 |
Wu C Y, Li J X, Wang C F, et al. Understanding the relationship between urban blue infrastructure and land surface temperature[J]. Science of the Total Environment, 2019, 694: 133742. DOI: .
doi: 10.1016/j.scitotenv.2019.133742
|
49 |
Yang J, Wang Y C, Xiu C L, et al. Optimizing local climate zones to mitigate urban heat island effect in human settlements[J]. Journal of Cleaner Production, 2020, 275: 123767. DOI: .
doi: 10.1016/j.jclepro.2020.123767
|
50 |
Hu D, Meng Q, Schlink U, et al. How do urban morphological blocks shape spatial patterns of land surface temperature over different seasons? A multifactorial driving analysis of Beijing, China[J]. International Journal of Applied Earth Observation and Geoinformation, 2022, 106: 102648. DOI: .
doi: 10.1016/j.jag.2021.102648
|