Abstract

Land surface albedo is an essential parameter for monitoring global/regional climate and land surface energy balance. Although many studies have been conducted on global or regional land surface albedo using various remote sensing data over the past few decades, land surface albedo product with a high spatio–temporal resolution is currently very scarce. This paper proposes a method for deriving land surface albedo with a high spatio–temporal resolution (space: 30 m and time: 2–4 days). The proposed method works by combining the land surface reflectance data at 30 m spatial resolution obtained from the charge-coupled devices in the Huanjing-1A and -1B (HJ-1A/B) satellites with the Moderate Resolution Imaging Spectroradiometer (MODIS) land surface bidirectional reflectance distribution function (BRDF) parameters product (MCD43A1), which is at a spatial resolution of 500 m. First, the land surface BRDF parameters for HJ-1A/B land surface reflectance with a spatial–temporal resolutions of 30 m and 2–4 day are calculated on the basis of the prior knowledge from the MODIS BRDF product; then, the calculated high resolution BRDF parameters are integrated over the illuminating/viewing hemisphere to produce the white- and black-sky albedos at 30 m resolution. These results form the basis for the final land surface albedo derivation by accounting for the proportion of direct and diffuse solar radiation arriving at the ground. The albedo retrieved by this novel method is compared with MODIS land surface albedo products, as well as with ground measurements. The results show that the derived land surface albedo during the growing season of 2012 generally achieved a mean absolute accuracy of ±0.044, and a root mean square error of 0.039, confirming the effectiveness of the newly proposed method.

Highlights

  • Land surface albedo is defined as that fraction of the incident solar radiation in the 0.4–2.5 μm spectrum domain which is reflected by the land surface [1]; it is an important variable that is used for global/regional climatic modeling and calculation of the net shortwave radiation [2,3]

  • After calculating the land surface reflectance, a narrowband to broadband (NTOB) shortwave surface reflectance conversion is performed to ensure the same spectral range for the Huanjing-1A and -1B (HJ-1A/B) data and the Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF) product, which will be shown in Subsection 2.2.1

  • Where rhj is the land surface reflectance observed by HJ-1A/B, Rm is the land surface reflectance calculated by the BRDF of the MODIS pixel at the HJ-1A/B solar and viewing geometries specified by, T indicates each 8 day period of the MODIS BRDF product, and t specifies the number of days within each MODIS 8 day period

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Summary

Introduction

Land surface albedo is defined as that fraction of the incident solar radiation in the 0.4–2.5 μm spectrum domain which is reflected by the land surface [1]; it is an important variable that is used for global/regional climatic modeling and calculation of the net shortwave radiation [2,3]. Resolution of 30 m has been proposed on the basis of a fusion of the Landsat 5 reflectance data and the classification-based MODIS 500 m anisotropic BRDF information [18] This product includes the snow-free land surface albedo with a temporal resolution of 16 day, and was validated over the Maryland, DC, and eastern Virginia areas of the US. Producing a land surface albedo product with high spatio–temporal resolution on the basis of the HJ-1A/B data is possible if an appropriate retrieval algorithm could be devised To this end, this paper proposes an alternative algorithm based on Shuai’s method [18], according to which MODIS pixels (500 m) are classified as either “pure” or “mixed.”.

Theoretical Basis
Derivation of Shortwave Broadband Albedo with High Resolution
Retrieving the Land Surface Albedo in Pure MODIS Pixels
Retrieving Land Surface Albedo at Mixed MODIS Pixels
Study Area and Data
Ground Measurements
Satellite Data
Comparison of Retrieved Albedos with MODIS Product
Comparison of the Retrieved Albedos with Ground Measurements
Analysis of Error Sources
Conclusions
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