首页 | 本学科首页   官方微博 | 高级检索  
     检索      

利用Landsat 7与GF-1 WFV影像反演地表温度
引用本文:符宝玲,琚锋,赵伟忠,许星.利用Landsat 7与GF-1 WFV影像反演地表温度[J].测绘通报,2021,0(11):124-127,135.
作者姓名:符宝玲  琚锋  赵伟忠  许星
作者单位:1. 湖州市测绘院, 浙江 湖州 313000;2. 河海大学, 江苏 南京 210000
摘    要:地表温度在地气循环系统中具有重要作用,是目前地理学研究的重点。然而目前的国产高分辨率影像缺少热红外波段,且具有热红外波段的影像分辨率较低。基于此,本文利用低分辨率影像降尺度方法反演高分辨率影像的地表温度。首先通过Landsat 7影像的热红外波段,提取典型地物的地表温度;对GF-1 WFV影像进行预处理后,利用全约束最小二乘法对高分辨率影像进行混合像元分解;根据平均温度模型,得到高分辨率影像的地表温度,并进行降尺度,通过Landsat 7影像进行精度验证。验证结果显示,均方根误(RMSE)为1.40℃,平均绝对误差(MAE)为0.44℃,精度较高。

关 键 词:地表温度  像元分解  降尺度  GF-1  WFV  
收稿时间:2020-10-12

Land surface temperature inversion based on Landsat 7 and GF-1 WFV images
FU Baoling,JU Feng,ZHAO Weizhong,XU Xing.Land surface temperature inversion based on Landsat 7 and GF-1 WFV images[J].Bulletin of Surveying and Mapping,2021,0(11):124-127,135.
Authors:FU Baoling  JU Feng  ZHAO Weizhong  XU Xing
Institution:1. Huzhou Institute of Surveying and Mapping, Huzhou 313000, China;2. Hohai University, Nanjing 210000, China
Abstract:Land surface temperature (LST) is the focus of geographical research and plays an important role in the earth-atmosphere system. However, the domestic high-resolution image lacks thermal infrared band, and the image resolution of thermal infrared band is relatively low. Based on this, a low resolution image downscaling method is proposed to retrieve high-resolution land surface temperature. Firstly, the surface temperature of typical objects is extracted from the thermal infrared band of Landsat 7 image. After preprocessing the GF-1 WFV image, least squares under the full constrained method is used to decompose the high-resolution image into mixed pixels. According to the average temperature model, the surface temperature of the high-resolution image is obtained. The root mean square error (RMSE) is 1.40℃, the mean absolute error (MAE) is 0.44℃, and the precision is verified with Landsat 7 image.
Keywords:surface temperature  pixel decomposition  downscaling  GF-1 WFV  
本文献已被 万方数据 等数据库收录!
点击此处可从《测绘通报》浏览原始摘要信息
点击此处可从《测绘通报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号