Abstract

Albedo characterizes the radiometric interface of land surfaces, especially vegetation, and the atmosphere. Albedo is a critical input to many models, such as crop growth models, hydrological models and climate models. For the extensive attention to crop monitoring, a physical albedo model for crops is developed based on the law of energy conservation and spectral invariants, which is derived from a prior forest albedo model. The model inputs have been efficiently and physically parameterized, including the dependency of albedo on the solar zenith/azimuth angle, the fraction of diffuse skylight in the incident radiance, the canopy structure, the leaf reflectance/transmittance and the soil reflectance characteristics. Both the anisotropy of soil reflectance and the clumping effect of crop leaves at the canopy scale are considered, which contribute to the improvement of the model accuracy. The comparison between the model results and Monte Carlo simulation results indicates that the canopy albedo has high accuracy with an RMSE < 0.005. The validation using ground measurements has also demonstrated the reliability of the model and that it can reflect the interaction mechanism between radiation and the canopy-soil system.

Highlights

  • Surface albedo determines the shortwave radiation budget and the energy transfers at the soil-vegetation-atmosphere interface and further influences of ecosystem, hydrology and meteorology processes, such as photosynthesis and evaporation [1]

  • This paper aims to estimate the crop albedo in the base of the forest albedo model by Manninen et al [22] and Stenberg [24]

  • The maize was at the seedling stage, so the soil reflectance has a significant influence on the canopy albedo, which represents the situation on which the model focuses

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Summary

Introduction

Surface albedo determines the shortwave radiation budget and the energy transfers at the soil-vegetation-atmosphere interface and further influences of ecosystem, hydrology and meteorology processes, such as photosynthesis and evaporation [1]. As vegetation plays a crucial role in all of these natural processes, carefully depicting the vegetation albedo is of prime interest when studying crop monitoring [2], hydrological cycle modeling [3,4], weather forecasting and climate modeling [5]. Compared to other vegetation types, this crop requires extra attention, because it shows significant seasonal variation and strong fluctuations caused by human activities. A great number of research studies are beginning to focus on the modeling and inversion of crop characteristics, especially the crop albedo [5,6].

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