摘要
采用4种不同的地表特征因子及其组合,使用三层分解模型对研究区地表温度进行降尺度实验。实验结果表明:1)使用多地表特征因子组合的三层分解模型获得的降尺度精度高于使用单因子获得的降尺度精度,均方根误差由0.813 K提高到0.763 K,降尺度结果的误差主要集中在建筑区域;2)采用热场强度指数和热场变异指数作为评价指标,研究城市热岛效应,两种评价指标均表明多因子模型的精度优于单因子模型的精度。
A three-layer decomposition model is used to downscale the surface temperature of the study area via four different surface feature factors and their combinations.Experimental results show that the three-layer decomposition model using multi-surface feature factor combination obtains higher downscaling accuracy than that using a single factor,and the root mean square error increases from 0.813 K to 0.763 K;the main source of error is the architectural area.To study the urban heat island effect,this study uses the heat field intensity index and heat field variation index for evaluation;both evaluation indexes indicate that the accuracy of the multi-factor model is better than that of the single factor model.
作者
张文奇
巩彩兰
胡勇
宋文韬
匡定波
Zhang Wenqi;Gong Cailan;Hu Yong;Song Wentao;Kuang Dingbo(Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai200083,China;University of Chinese Academy of Sciences,Beijing100049,China;Key Laboratory of Infrared System Detection and Imaging Technology,Chinese Academy of Sciences,Shanghai200083,China)
出处
《光学学报》
EI
CAS
CSCD
北大核心
2019年第9期330-338,共9页
Acta Optica Sinica
基金
国家重点研发计划(2017YFC0602103)
中科院上海技术物理研究所创新专项项目(CX-58)
关键词
遥感
热红外图像降尺度
地表特征因子
城市热岛
地表温度
remote sensing
thermal infrared image downscaling
surface feature factor
urban heat island
surface temperature