Journal of Guangdong University of Technology ›› 2021, Vol. 38 ›› Issue (02): 53-59.doi: 10.12052/gdutxb.200090
• Comprehensive Studies • Previous Articles Next Articles
Chen Bing-jie, Chen Pei-min, Huang Ze-peng, Ng Alex Hay-Man, Wang Hua
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[1] MANLEY G. On the frequency of snowfall in metropolitan England [J]. Quarterly Journal of the Royal Meteorological Society, 1958, 84(359): 70-72. [2] HUANG Q, LU Y. Urban heat island research from 1991 to 2015: a bibliometric analysis [J]. Theoretical and Applied Climatology, 2018, 131(3-4): 1055-1067. [3] KING V J, DAVIS C. A case study of urban heat islands in the Carolinas [J]. Global Environmental Change Part B Environmental Hazards, 2007, 7(4): 353-359. [4] LI H D, ZHOU Y Y, WANG X, et al. Quantifying urban heat island intensity and its physical mechanism using WRF/UCM [J]. The Science of the Total Environment, 2019, 650: 3110-3119. [5] SULTANA S, SATYANARAYANA A N V. Assessment of urbanisation and urban heat island intensities using landsat imageries during 2000-2018 over a sub-tropical Indian City [J]. Sustainable Cities and Society, 2020, 52: 101846. [6] GONG J, HU Z, CHEN W, et al. Urban expansion dynamics and modes in metropolitan Guangzhou, China [J]. Land Use Policy, 2018, 72: 100-109. [7] LIU F, ZHANG X, MURAYAMA Y, et al. Impacts of land cover/use on the urban thermal environment: a comparative study of 10 megacities in China [J]. Remote Sensing, 2020, 12(2): 307. [8] SUN Q, WU Z, TAN J. The relationship between land surface temperature and land use/land cover in Guangzhou, China [J]. Environmental Earth Sciences, 2012, 65(6): 1687-1694. [9] 陈康林, 龚建周, 陈晓越. 广州市热岛强度的空间格局及其分异特征[J]. 生态学杂志, 2017, 36(3): 792-799. CHEN K L, GONG J Z, CHEN X Y. Spatial pattern and differentiation characteristics of urban heat island intensity in Guangzhou city [J]. Chinese Journal of Ecology, 2017, 36(3): 792-799. [10] 广州市统计局. 广州统计年鉴[M/OL]. 北京: 中国统计出版社, 2000-2019. http://112.94.72.17/portal/queryInfo/statisticsYearbook/index. [11] U. S. Geological Survey. Landsat—earth observation satellites[R]. Reston, VA: U. S. Geological Survey, 2016. [12] THORNE K, MARKHARN B, SLATER P, et al. Radiometric calibration of Landsat [J]. Photogrammetric Engineering and Remote Sensing, 1997, 63(7): 853-858. [13] BERNSTEIN L S, JIN X, GREGOR B, et al. Quick atmospheric correction code: algorithm description and recent upgrades [J]. Optical Engineering, 2012, 51(11): 111719. [14] CHANG C C, LIN C J. LIBSVM: a library for support vector machines [J]. ACM Transactions on Intelligent Systems and Technology (TIST), 2011, 2(3): 1-27. [15] 覃志豪, ZHANG M H, ARNON K, 等. 用陆地卫星TM6数据演算地表温度的单窗算法[J]. 地理学报, 2001, 68(4): 456-466. QIN Z H, ZHANG M H, ARNON K, et al. Mono-window algorithm for retrieving land surface temperature from Landsat TM6 data [J]. Acta Geographica Sinica, 2001, 68(4): 456-466. [16] RONGALI G, KESHARI A K, GOSAIN A K, et al. Split-window algorithm for retrieval of land surface temperature using Landsat 8 thermal infrared data [J]. Journal of Geovisualization and Spatial Analysis, 2018, 2(2): 14. [17] JORDI C, JUAN J M O, ANUPMA P, et al. An improved single-channel method to retrieve land surface temperature from the Landsat-8 thermal band [J]. Remote Sensing, 2018, 10(3): 431. [18] YU X, GUO X, WU Z. Land surface temperature retrieval from Landsat 8 tirs—comparison between radiative transfer equation-based method, split window algorithm and single channel method [J]. Remote Sensing, 2014, 10(6): 9829-9852. [19] GILABERT M A, CONESE C, MASELLI F. An atmospheric correction method for the automatic retrieval of surface reflectances from TM images [J]. International Journal of Remote Sensing, 1994, 15(10): 2065-2086. [20] SEKERTEKIN A, BONAFONI S. Land surface temperature retrieval from Landsat 5, 7, and 8 over rural areas: assessment of different retrieval algorithms and emissivity models and toolbox implementation [J]. Remote Sensing, 2020, 12(2): 294. [21] 覃志豪, LI W J, ZHANG M H, 等. 单窗算法的大气参数估计方法[J]. 国土资源遥感, 2003(2): 37-43. QIN Z H, LI W J, ZHANG M H, et al. Estimating of the essential atmospheric parameters of mono-window algorithm for land surface temperature retrieval from Landsat TM6 [J]. Remote Sensing for Land & Resources, 2003(2): 37-43. [22] 杨景梅, 邱金桓. 用地面湿度参量计算我国整层大气可降水量及有效水汽含量方法的研究[J]. 大气科学, 2002, 26(1): 9-22. YANG J M, QIU J H. A method for estimating precipitable water and effective water vapor content from ground humidity parameters [J]. Chinese Journal of Atmospheric Sciences, 2002, 26(1): 9-22. [23] 覃志豪, 李文娟, 徐斌, 等. 陆地卫星TM6波段范围内地表比辐射率的估计[J]. 国土资源遥感, 2004, 3: 28-32. QIN Z H, LI W J, XU B, et al. The estimation of land surface emissivity for Landsat TM6 [J]. Remote Sensing for Land & Resources, 2004, 3: 28-32. [24] 马鑫鑫. 广州产业园区建设对城市形态的影响(1978~2017年)[D]. 广州: 华南理工大学, 2018. |
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