遥感数据的城市不透水面估算及增温效应

Estimations to impervious surface and their effects of warming for city using remote sensing data

为了更精确地估算城市不透水面信息以及探索城市不透水面的增温效应,以合肥市为研究区,对landsat 8数据进行处理,使用单通道算法反演地表温度(LST).提出改进的归一化不透水面指数(MNDISI),使用该指数估计不透水面分布信息和不透水面盖度(ISC).将不透水面盖度进行划分,结合遥感数据和气象数据对不透水面的热环境效应加以研究,分析不透水面盖度变化所导致的地表温度和气温变化.结果表明,不透水面盖度与地表温度之间呈指数关系,与气温之间呈线性关系.地表温度和气温随着不透水面盖度的增加而升高.当某区域内的不透水面盖度在43%时,区域内不透水面增温效应和其他地物的降温效应达到动态平衡.

Taking Hefei city as study area, land surface temperature（LST） was retrieved by single-channelinversion algorithm dealing with the data of landsat-8 imagery, in order to extract the impervious surface ofurban more accurately and explore the warming effects of impervious surface of urban. A new index,modified normalized difference impervious surface index （MNDISI）, was proposed, and distributioninformation of impervious surface and impervious surface coverage（ISC） were estimated using the index.ISC were subdivided based on their distribution information. Thermal environment effect of impervioussurface combining with remote sensing data and meteorological data was analyzed, Changes of land surfacetemperature and air temperature caused by changes of impervious surface coverage were specificallyanalyzed. Results show that the impervious surface coverage distribution has an exponential correlationwith land surface temperature, and a linear relationship with air temperature. Land surface temperatureand air temperature are rising with increase of impervious surface coverage. When impervious surfacecoverage reaches at 43%, the warming effect of impervious surface and the cooling effect of other landsurface type can reach a dynamic equilibrium.