测绘通报 ›› 2021, Vol. 0 ›› Issue (11): 124-127,135.doi: 10.13474/j.cnki.11-2246.2021.352

• 技术交流 • 上一篇    下一篇

利用Landsat 7与GF-1 WFV影像反演地表温度

符宝玲1, 琚锋1,2, 赵伟忠1, 许星1   

  1. 1. 湖州市测绘院, 浙江 湖州 313000;
    2. 河海大学, 江苏 南京 210000
  • 收稿日期:2020-10-12 出版日期:2021-11-25 发布日期:2021-12-02
  • 作者简介:符宝玲(1992-),女,硕士,助理工程师,主要从事3S技术与地学应用方面的工作。E-mail:523112904@qq.com

Land surface temperature inversion based on Landsat 7 and GF-1 WFV images

FU Baoling1, JU Feng1,2, ZHAO Weizhong1, XU Xing1   

  1. 1. Huzhou Institute of Surveying and Mapping, Huzhou 313000, China;
    2. Hohai University, Nanjing 210000, China
  • Received:2020-10-12 Online:2021-11-25 Published:2021-12-02

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

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.

Key words: surface temperature, pixel decomposition, downscaling, GF-1 WFV

中图分类号: