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Analysis of the thermal infrared radiation characteristics of a typical land surface stable target and applicability assessments

  • role： First author第一作者
  • Affiliation：

    Chinese Academy of Sciences Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing 100094, China

    College of Optoelectronics, University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：yangzhiwei19@mails.ucas.ac.cn
  • Introduction：杨治纬，研究方向为热红外遥感。E-mail： yangzhiwei19@mails.ucas.ac.cn
YANG Zhiwei12,  
  • role： Corresponding author通信作者
  • Affiliation：

    Chinese Academy of Sciences Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing 100094, China

  • Email：gaocaixia@aoe.ac.cn
  • Introduction：高彩霞，研究方向为定标与真实性检验，热红外定量遥感。E-mail： gaocaixia@aoe.ac.cn
GAO Caixia1*,  
  • Affiliation：

    Chinese Academy of Sciences Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing 100094, China

QIU Shi1,  
  • Affiliation：

    Chinese Academy of Sciences Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing 100094, China

MA Lingling1,  
  • Affiliation：

    Chinese Academy of Sciences Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing 100094, China

QIAN Yonggang1,  
  • Affiliation：

    Chinese Academy of Sciences Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing 100094, China

ZHAO Yongguang1

resumen

Networked calibration technology using the Earth surface with suitable characteristics as a reference has become a hot topic in the international calibration field. This technology can reduce the uncertainty of independent measurement by means of multiple observations, so calibration frequency and accuracy can be effectively improved. In this study, long-time series of Aqua/MODIS and Landsat8/TIRS thermal infrared data are used to systematically analyze the surface thermal radiation and atmospheric characteristics of eight targets, namely, six pseudo-invariant calibration sites recommended by the Committee on Earth Observation Satellites and the Working Group on Calibration & Validation, the Dunhuang site, and the Geermu Dazaohuo area. Meanwhile, a criterion for selecting land surface stable targets is proposed. Specifically, the criterion states that the spatial standard deviation of brightness temperature should be less than 0.3 K, and the emissivity temporal variation coefficient should be less than 2% so that land surface stable targets suitable for the networked calibration of thermal infrared payloads can be selected for improving the in-orbit calibration accuracy of thermal infrared payloads.To analyze the applicability of each target area at different spatial resolutions, spatial uniformity and temporal stability are evaluated at 1 km spatial resolution by using MODIS/MYD02_1KM and MODIS/MYD21 thermal infrared data, and the uniform and stable area is obtained. On this basis, spatial uniformity is evaluated at 100 and 500 m spatial resolutions by using Landsat8 thermal infrared data. Then, the uniform and stable regions are obtained at 100 and 500 m spatial resolutions. In addition, to analyze the scale characteristics, this study compares two brightness temperature SDs at 500 m spatial resolution with different features; one is the original 500 m, and the other one is downscaled from 100 m.Results show that the areas that meet the selection criteria at 1 km spatial resolution are Libya1_1 km, Libya4_1 km, Algeria3_1 km, Algeria5_1 km, Mauritania1_1 km, Mauritania2_1 km, Dunhuang_1 km, and Geermu_1 km. Among them, Libya4_1 km has the largest area of 75 km×75 km, and Geermu_1 km has the smallest area of 3 km×3 km. At 100 m spatial resolution, seven regions are selected further from Libya_1 km, Mauritania1_1 km, Mauritania2_1 km, and Dunhuang_1 km. In these regions, the maximum area is 30 km×30 km, and the minimum area is 5 km×5 km. In addition, the spatial uniformity of Libya1_1 km, Mauritania1_1 km, Mauritania2_1 km, and Dunhuang_1 km is not sensitive to the spatial scale, indicating that that these areas are suitable for the in-orbit calibration of thermal infrared payloads at various spatial resolutions.

palabra clave

thermal infrared;spatial heterogeneity;Time stability;MODIS;Landsat 8;ECMWF

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