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Advances and challenges in the validation of remote sensing albedo products

  • role： First author第一作者
  • Affiliation：

    College of Earth and Environment Sciences, Lanzhou University, Lanzhou 730000, China

  • Email：wuxd@lzu.edu.cn
  • Introduction：吴小丹，1987年，女，副教授，研究方向为遥感数据产品真实性检验。E-mail：wuxd@lzu.edu.cn
Xiaodan WU1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：xiaoqing@radi.ac.cn
  • Introduction：肖青，1971年，男，研究员，研究方向为定量遥感、遥感试验。E-mail：xiaoqing@radi.ac.cn
Qing XIAO23*,  
  • Affiliation：

    Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

Jianguang WEN23,  
  • Affiliation：

    Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

Dongqin YOU23

resumen

Validation of satellite-derived albedo products is an essential precursor to scientific research and subsequent environmental monitoring. Unlike the simple comparison between two datasets, validation involves determining the ground truth at pixel scale that exists independently. The reliability of validation results depends on the accurate treatment of ground-based measurements, upscaling, and assessment methods. This study analyzed the current state and development trends of validation technique specifically for remote sensing of albedo products. Ground-based measurements are the primary source of truth value at pixel scale to validate remote sensing products. The balance between the comprehensiveness and strictness of a validation can be achieved by selecting either the extensively distributed but sparse networks or small-scale but dense networks depending on each specific goal. However, ground measurements cannot provide sufficient information for the acquisition of truth value at pixel scale due to their limited spatial scales. Moreover, this finding was especially true for heterogeneous surfaces. Therefore, an upscaling technique should be explored to minimize errors due to the large spatial-scale difference between ground measurements and satellite product pixels. High-resolution imageries can provide spatial distribution characteristics of surface albedo within a coarse pixel, and these imageries can address the severity of the upscaling problem. Apart from these factors, the quality index, the effect of solar zenith angle, and the choice of albedo can all affect the quality of validation. The sparse networks can ensure the comprehensiveness of the validation but ignore the scale problems embodied in the validation. The dense networks can address the scale problem but cannot support the validation on a global scale. With regard to upscaling issues, the combination of ground measurements and high-resolution imageries can provide ideal upscaling results. However, differences remained among different methods. The traditional multi-scale validation strategy suffered from critical uncertainties caused by high-resolution albedo maps’errors, geometric mismatches, and calibration model errors. Recently, the upscaling method based on the idea of trend surface has attracted the attention of scholars whose interest is the validation field. This method compensates the errors of high-resolution maps and calibration model, thus improving the quality of upscaling results. The quality index of satellite albedo products should be considered in validation. Otherwise, wrong results may be obtained. Moreover, ground measurements with solar zenith angle exceeding 75° should be discarded. Great achievements have been obtained with regard to ground measurements, upscaling, and assessing methods in the past few years. Nevertheless, the accuracy of validation results remained hindered by several problems, which had not been seriously considered. This study provided an overview of existing validation activity, including ground-based data acquisition and processing, upscaling method for calculating the reference at pixel scale, and assessment method. Furthermore, their key challenges were also presented.

palabra clave

validation;heterogeneous surfaces;scale effect;albedo

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