基于多源遥感数据的辽宁地表温度反演及空间分布研究

以辽宁地表温度为研究对象，采用普适性单通道算法，利用FY-3A/MERSI数据，并结合MODIS 1000 m分辨率数据，反演了2009年和2010年4-9月间10个时次晴空或局部晴空时的地表温度。结果表明：计算验证了模型的反演精度与同期NASA所发布MODIS地表温度产品的精度相当，其结果与相应的56个气象站点的实际观测数据相一致。多源遥感数据的综合应用，可获得较合理的地表温度反演结果；不同土地覆盖类型间地表温度的高低在相同时间内存在显著差异；研究期内，林地、水田、旱地和建设用地的NDVI与地表温度具有负相关性。综合利用遥感、地理信息系统技术，可以表征地表温度与土地利用类型以及地表温度与归一化植被指数(NDVI)之间的关系。

Retrieval of land surface temperature and its spatial distribution in Liaoning province based on multi-source remote sensing data

Based on the long wave radiation data from FY-3A/MERSI and MODIS data with 1 km resolution,the land surface temperatures(LST)in 10 sunny days or local sunny days from April to September in 2009 and 2010 were retrieved using a generalized single-channel method in Liaoning province.The results indicate that the verified accuracy of model is consistent with that of MODIS LST products from NASA,and the values of LST agree well with the observational values from 56 weather stations.The retrieval of LST is more reliable because of the combination of multi-source remote sensing data.The difference of LST is significant in the different land use/cover types in the same time.The correlations between LST and NDVI in forest,paddy field,dry land and building are negative.The relationships between LST and land use/cover types,LST and NDVI could be analyzed by the remote sensing and GIS technology.