成都市及其周边县城市热岛效应反演与分析
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摘要
基于RS和GIS技术,利用Landsat8遥感影像的热红外波段(TIR),采用单通道算法(SC算法),对成都市及其周边县进行地表温度反演,并对反演结果进行两类分区统计,即行政区划和土地利用分类,以此对成都市及周边县进行城市热岛效应研究。结果表明:成都市及其周边县存在着较强的城市热岛效应,其温度由内而外逐次降低,内部区域温度可达到50.66℃,外部区域仅有21.59℃,温差较大,热岛效应明显。
Based on RS and GIS technology, using the thermal infrared band(TIR), of Landsat8 remote sensing image, the single channel algorithm(SC algorithm) is used to retrieve the surface temperature of Chengdu and its surrounding counties, and two kinds of partition statistics are carried out on the inversion results. That is, administrative division and land use classification, in order to study the urban heat island effect of Chengdu and its surrounding counties. The results show that there is a strong urban heat island effect in Chengdu and its surrounding counties, and its temperature decreases gradually from the inside to the outside. the temperature in the internal region can reach 50.66 ℃, while that in the external region is only 21.59 ℃. The temperature difference is large and the heat island effect is obvious.
Based on RS and GIS technology, using the thermal infrared band(TIR), of Landsat8 remote sensing image, the single channel algorithm(SC algorithm) is used to retrieve the surface temperature of Chengdu and its surrounding counties, and two kinds of partition statistics are carried out on the inversion results. That is, administrative division and land use classification, in order to study the urban heat island effect of Chengdu and its surrounding counties. The results show that there is a strong urban heat island effect in Chengdu and its surrounding counties, and its temperature decreases gradually from the inside to the outside. the temperature in the internal region can reach 50.66 ℃, while that in the external region is only 21.59 ℃. The temperature difference is large and the heat island effect is obvious.
引文
[1]中华人民共和国国家统计局.年度人口及城市概况数据[DB/OL].http://data.stats.gov.cn/easyquery.htm?cn=C01.
[2]刘冰冰,曾勇年.基于Landsat8数据的城市群热岛效应分析——长株潭城市群为例[J].山东农业大学学报(自然科学版),2018,49(4):591-597.
[3]何炳伟,赵伟,李爱农,等.基于Landsat8遥感影像的新旧城区热环境特征对比研究——以成都市为例[J].遥感技术与应用,2017,32(6):1141-1150.
[4]Jimenez-Munoz J C, Sobrino J A, Skokovic D, et al. Land Surface Temperature Retrieval Methods From Landsat-8 Thermal Infrared Sensor Data[J]. Geoscience and Remote Sensing Letters,IEEE,2014,11(10):1840-1843.
[5]徐涵秋.新型Landsat8卫星影像的反射率和地表温度反演[J].地球物理学报,2015,58(3):741-747.
[6]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,2004,16(3):28-32.
[2]刘冰冰,曾勇年.基于Landsat8数据的城市群热岛效应分析——长株潭城市群为例[J].山东农业大学学报(自然科学版),2018,49(4):591-597.
[3]何炳伟,赵伟,李爱农,等.基于Landsat8遥感影像的新旧城区热环境特征对比研究——以成都市为例[J].遥感技术与应用,2017,32(6):1141-1150.
[4]Jimenez-Munoz J C, Sobrino J A, Skokovic D, et al. Land Surface Temperature Retrieval Methods From Landsat-8 Thermal Infrared Sensor Data[J]. Geoscience and Remote Sensing Letters,IEEE,2014,11(10):1840-1843.
[5]徐涵秋.新型Landsat8卫星影像的反射率和地表温度反演[J].地球物理学报,2015,58(3):741-747.
[6]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,2004,16(3):28-32.