城市街区尺度地表热环境遥感监测与分析
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摘要
近年来对城市热环境的研究大多集中在大尺度或城市区域尺度上,基于街区尺度的热环境研究较少。本研究基于高空间分辨率的天宫一号热红外数据,利用JM&S(Jim?nez-Mu?oz&Sobrino)算法反演了南京部分地区地表温度,进而揭示了南京地区夜间地表热环境空间分布规律并分析了其与地表覆盖类型的关系,探讨了不同街区夜间地表温度的差异。研究结果表明,天宫一号具有热异常检测能力,能较好地体现街区尺度地表温度的空间异质性;南京夜间存在明显的城市热岛效应,热岛强度为2.6 K,局部热岛效应较为突出;受土地覆盖类型、人口、建筑等因素的影响,不同街区地表温度差异较为明显。
Research on urban thermal environments is mostly focused on large or urban area scales; research on district-scale urban environments is inadequate. In this study, the high-spatial-resolution thermal infrared domain data from the Tiangong-1 satellite was used to retrieve the land surface temperature(LST) of areas in Nanjing based on the JM&S method. The spatial distribution of the land surface thermal environment in Nanjing at night was revealed, and its relationship with the surface cover was analyzed. The difference in LST in different districts at night was observed. Our results show that the high-spatial resolution of Tiangong-1 has thermal anomaly detection abilities, and the heterogeneity of LST is better reflected through it. An obvious urban heat-island effect exists in Nanjing at night with a 2.6 K heat-island intensity. The difference in temperature in different districts is more obvious, which was affected by surface cover, population, and buildings.
Research on urban thermal environments is mostly focused on large or urban area scales; research on district-scale urban environments is inadequate. In this study, the high-spatial-resolution thermal infrared domain data from the Tiangong-1 satellite was used to retrieve the land surface temperature(LST) of areas in Nanjing based on the JM&S method. The spatial distribution of the land surface thermal environment in Nanjing at night was revealed, and its relationship with the surface cover was analyzed. The difference in LST in different districts at night was observed. Our results show that the high-spatial resolution of Tiangong-1 has thermal anomaly detection abilities, and the heterogeneity of LST is better reflected through it. An obvious urban heat-island effect exists in Nanjing at night with a 2.6 K heat-island intensity. The difference in temperature in different districts is more obvious, which was affected by surface cover, population, and buildings.
引文
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[13]LI H,LIU Q,DU Y,et al.Evaluation of the NCEP and MODISAtmospheric Products for Single Channel Land Surface Temperature Retrieval With Ground Measurements:A Case Study of HJ-1B IRSData[J].IEEE Journal of Selected Topics in Applied Earth Observations&Remote Sensing,2013,6(3):1399-1408.
[14]Sobrino J A,Jiménez-Mu?oz J C,Paolini L.Land surface temperature retrieval from LANDSAT TM 5[J].Remote Sensing of Environment,2004,90(4):434-440.
[15]覃志豪,李文娟,徐斌,等.利用Landsat TM6反演地表温度所需地表辐射率参数的估计方法[J].海洋科学进展,2004,22(b10):129-137.QIN Zhihao,LI Wenjuan,Xu Bing,et al.Estimation Method of Land Surface Emissivity for Retrieving Land Surface Temperature From Landsat TM6 Data[J].Adances in Marine Science,2004,22(b10):129-137.
[16]于文凭,马明国.应用天宫一号高光谱红外谱段数据反演地表温度产品及验证[J].遥感学报,2014,18(s1):144-151.YU Wenping,MA MingGuo.Retrieving the high-spatial-resolution land surface temperature products from the thermal infrared domain of the Tiangong-1[J].Journal of Remote Sensing,2014,18(s1):144-151.
[17]李盼盼,李兆富.基于HJ-1B卫星数据的南京市地表温度反演研究[J].遥感技术与应用,2015,30(4):653-660.LI Panpan,LI Zhaofu.The Study of Land Surface Temperature Retrieval for Nanjing based on HJ-1B Data[J].Remote Sensing Technology and Application,2015,30(4):653-660.
[18]朱卫军.基于单通道算法和MODIS数据的地表温度反演研究[J].城市勘测,2008(5):97-100.ZHU Weijun.Retrieval Land Surface Temperature from MODIS data Base on Single-channel method[J].Urban Geotechnical Investigation&Surveying,2008(5):97-100.
[19]罗菊花,张竞成,黄文江,等.基于单通道算法的HJ-1B与Landsat 5TM地表温度反演一致性研究[J].光谱学与光谱分析,2010,30(12):3285-3289.LUO Jvhua,ZHANG Jincheng,HUANG WenJiang,et al.The Analysis of Consistency between HJ-1B and Landsat 5 TM for Retrieving LSTBased on the Single-Channel Algorithm[J].Spectroscopy and Spectral Analysis,2010,30(12):3285-3289.
[20]杨学森.基于单通道算法的Landsat8卫星数据地表温度反演研究[D].北京:中国地质大学,2015.YANG Xueshen.Research on the Single-Channel Algorithn for Land Surface Temperature Retrieval From Landsat8 Data[D].BeiJing:China University of Geosciences,2015.
[21]王天星,陈松林,马娅,等.亮温与地表温度表征的城市热岛尺度效应对比研究[J].地理与地理信息科学,2007,23(6):73-77.WANG Tianxing,CHEN Songlin,MA Ya,et al.Comparison on Scale Effect of Urban Heat Island Defined by Brightness Temperature and Land Surface Temperature[J].Geography and Geo-Information Science,2007,23(6):73-77.
[22]王舒默.基于MODIS数据的北京近地面气温反演及热岛效应研究[D].兰州:兰州大学,2015.WANG ShuMo.Study on Beijing Surface Air Temperature Inversion and the Heat Island Effect Based on MODIS Data[D].LANZHOU:Lanzhou University,2015.
[2]张微.基于MODIS数据的成都市热岛效应时空变化特征研究[D].成都:四川师范大学,2016.ZHANG Wei.Temporal and spatial variation of heat island effect in Chendu based on MODIS data[D].Chendu:Sichuan normal school,2016.
[3]李璇琼,李永树,卢正,等.兰州市热岛效应时空演化研究[J].城市发展研究,2015,22(7):18-22.LI Xuanqiong,LI Yongshu,LU Zheng,et al.Study on Temporal and Spatial Varitation of Urban Heat Island of Lanzhou[J].Urban Development Studies,2015,22(7):18-22.
[4]薛丹,李成范,雷鸣,等.基于MODIS数据的上海市热岛效应的遥感研究[J].测绘与空间地理信息,2013,36(4):1-3.XUE Dan,LI Chengfan,LEI Ming,et al.A Study on Urban Heat Island Effect of Shanghai from MODIS Data[J].Geomatics&Spatial Information Technology,2013,36(4):1-3.
[5]刘勇洪,轩春怡,权维俊.基于卫星资料的北京陆表水体的热环境效应分析[J].湖泊科学,2013,25(1):73-81.LIU Yonghao,XUAN Chunyi,QUAN Weijun.Thermal environment effect of land surface water bodies in Beijing based on satellite data[J].Lake Sciences,2013,25(1):73-81.
[6]曹畅,李旭辉,张弥,等.中国城市热岛时空特征及其影响因子的分析[J].环境科学,2017,38(10):3987-3997.CAO Chang,LI Xuhui,ZHANG Mi,et al.Correlation Analysis of the Urban Heat Island Effect and Its Impact Factors in China[J].Environment Science,2017,38(10):3987-3997.
[7]沈德才,杨燕琼,吴振彪,等.基于Landsat 8的东莞市热岛效应研究[J].广东林业科技,2014,30(6):20-24.SHEN Decai,YANG Yanqiong,WU Zhenbiao,et al.Research on Urban Heat Island Effect of Dongguan Based on Landsat 8[J].Forestry and Environmental Science,2014,30(6):20-24.
[8]李海峰,李永树,卢正,等.河流廊道景观的热环境效应分析[J].地理与地理信息科学,2015,31(4):51-54.LI Haifeng,LI Yongshu,LU Zheng,et al.Analysis on the Thermal Environment Effect of River Corridor Landscape[J].Geography and Geo-Information Science,2015,31(4):51-54.
[9]历华,杜永明,柳钦火,等.天宫一号数据地表温度反演及其在城市热岛效应中的应用[J].遥感学报,2014,18(s1):133-143.LI Hua,DU Yongming,LIU Qinhuo,et al.Land surface temperature retrieval from Tiangong-1 data and its applications in urban heat island effect[J].Journal of Remote Sensing,2014,18(s1):133-143.
[10]高铭,张善从,李盛阳.天宫一号高光谱成像仪遥感应用[J].遥感学报,2014,18(s1):2-10.GAO Ming,ZHANG Shancong,LI Shengyang.Tiangong-1hyperspectral remote sensing and application[J].Journal of Remote Sensing,2014,18(s1):2-10.
[11]黄小仙,傅雨田.天宫一号超光谱仪红外谱段的实验室定标[J].遥感学报,2014,18(s1):35-41.HUANG Xiaoxian,FU Yutian.Calibration for the thermal band of hyperspectral imager in Tiangong-1[J].Journal of Remote Sensing,2014,18(s1):35-41.
[12]韩启金,傅俏燕,张学文,等.高分一号卫星宽视场成像仪的高频次辐射定标[J].光学精密工程,2014,22(7):1707-1714.HAN Qijin,FU Xiaoyan,ZHANG Xuewen,et al.High-frequency radiomeyric calibration for wide field-of-view sensor of GF-1satellite[J].Optics and Precision Engineering,2014,22(7):1707-1714.
[13]LI H,LIU Q,DU Y,et al.Evaluation of the NCEP and MODISAtmospheric Products for Single Channel Land Surface Temperature Retrieval With Ground Measurements:A Case Study of HJ-1B IRSData[J].IEEE Journal of Selected Topics in Applied Earth Observations&Remote Sensing,2013,6(3):1399-1408.
[14]Sobrino J A,Jiménez-Mu?oz J C,Paolini L.Land surface temperature retrieval from LANDSAT TM 5[J].Remote Sensing of Environment,2004,90(4):434-440.
[15]覃志豪,李文娟,徐斌,等.利用Landsat TM6反演地表温度所需地表辐射率参数的估计方法[J].海洋科学进展,2004,22(b10):129-137.QIN Zhihao,LI Wenjuan,Xu Bing,et al.Estimation Method of Land Surface Emissivity for Retrieving Land Surface Temperature From Landsat TM6 Data[J].Adances in Marine Science,2004,22(b10):129-137.
[16]于文凭,马明国.应用天宫一号高光谱红外谱段数据反演地表温度产品及验证[J].遥感学报,2014,18(s1):144-151.YU Wenping,MA MingGuo.Retrieving the high-spatial-resolution land surface temperature products from the thermal infrared domain of the Tiangong-1[J].Journal of Remote Sensing,2014,18(s1):144-151.
[17]李盼盼,李兆富.基于HJ-1B卫星数据的南京市地表温度反演研究[J].遥感技术与应用,2015,30(4):653-660.LI Panpan,LI Zhaofu.The Study of Land Surface Temperature Retrieval for Nanjing based on HJ-1B Data[J].Remote Sensing Technology and Application,2015,30(4):653-660.
[18]朱卫军.基于单通道算法和MODIS数据的地表温度反演研究[J].城市勘测,2008(5):97-100.ZHU Weijun.Retrieval Land Surface Temperature from MODIS data Base on Single-channel method[J].Urban Geotechnical Investigation&Surveying,2008(5):97-100.
[19]罗菊花,张竞成,黄文江,等.基于单通道算法的HJ-1B与Landsat 5TM地表温度反演一致性研究[J].光谱学与光谱分析,2010,30(12):3285-3289.LUO Jvhua,ZHANG Jincheng,HUANG WenJiang,et al.The Analysis of Consistency between HJ-1B and Landsat 5 TM for Retrieving LSTBased on the Single-Channel Algorithm[J].Spectroscopy and Spectral Analysis,2010,30(12):3285-3289.
[20]杨学森.基于单通道算法的Landsat8卫星数据地表温度反演研究[D].北京:中国地质大学,2015.YANG Xueshen.Research on the Single-Channel Algorithn for Land Surface Temperature Retrieval From Landsat8 Data[D].BeiJing:China University of Geosciences,2015.
[21]王天星,陈松林,马娅,等.亮温与地表温度表征的城市热岛尺度效应对比研究[J].地理与地理信息科学,2007,23(6):73-77.WANG Tianxing,CHEN Songlin,MA Ya,et al.Comparison on Scale Effect of Urban Heat Island Defined by Brightness Temperature and Land Surface Temperature[J].Geography and Geo-Information Science,2007,23(6):73-77.
[22]王舒默.基于MODIS数据的北京近地面气温反演及热岛效应研究[D].兰州:兰州大学,2015.WANG ShuMo.Study on Beijing Surface Air Temperature Inversion and the Heat Island Effect Based on MODIS Data[D].LANZHOU:Lanzhou University,2015.
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