基于多源遥感数据的济南市主要建成区热环境研究

Study on Thermal Environment of Main Built-up in Ji'nan Based on Multi-source Remote Sensing Data

城市热环境是反映城市环境状况的一个重要指标,本研究基于济南市快速城市化时期的Landsat-8遥感影像,利用遥感图像处理软件IDL8.5反演2016年济南市的地表温度(LST),得到济南市地表温度空间分布格局;并利用NPP-VIIRS夜间灯光数据提取济南市主要建成区范围及郊区范围,同时利用MODIS 8天温度产品,根据城郊温差法计算得到济南市主要建成区热岛强度信息,探究热岛强度的月及季节变化规律。研究发现白天热岛强度变化规律比较明显,夜间热岛强度比较稳定。同时,利用2016年谷歌影像提取济南市地表水体的分布数据,并采用剖面取样的方法在地表温度分布图上做出样点与其对应地表温度的分布曲线,研究发现水体和绿化植被的存在能显著地减缓城市热岛效应。

The urban thermal environment is an important indicator of the urban environment. In order to explore the thermal environment of the built area of Ji’nan,in this study,Landsat-8,MODIS and NPP-VIIRS nighttime remote sensing images were used to extract the surface temperature and the built-up area based on the IDL8.5 platform. The study obtains the distribution pattern of surface temperature in Ji’nan and the heat island intensity information of the built-up area and analyzes the monthly and seasonal variation rules of heat island intensity. The results show that,the intensity of heat island in Jinan during the day is more obvious,and the intensity of night heat island is relatively stable. Simultaneously,this study extracts the distribution of surface water bodies based on the Google image,and analyzes the relationship between sample and surface temperature by section sampling method. Finally,the study finds that the existence of water and green vegetation can significantly reduce the urban heat island effect.