Abstract

This paper presents an innovative method for observing vegetation health at a very high spatial resolution (~5 × 5 cm) and low cost by upgrading an existing Aerosol RObotic NETwork (AERONET) ground station dedicated to the observation of aerosols in the atmosphere. This study evaluates the capability of a sun/sky photometer to perform additional surface reflectance observations. The ground station of Toulouse, France, which belongs to the AERONET sun/sky photometer network, is used for this feasibility study. The experiment was conducted for a 5-year period (between 2016 and 2020). The sun/sky photometer was mounted on a metallic structure at a height of 2.5 m, and the acquisition software was adapted to add a periodical (every hour) ground-observation scenario with the sun/sky photometer observing the surface instead of being inactive. Evaluation is performed by using a classical metric characterizing the vegetation health: the normalized difference vegetation index (NDVI), using as reference the satellite NDVI derived from a Sentinel-2 (S2) sensor at 10 × 10 m resolution. Comparison for the 5-year period showed good agreement between the S2 and sun/sky photometer NDVIs (i.e., bias = 0.004, RMSD = 0.082, and R = 0.882 for a mean value of S2A NDVI around 0.6). Discrepancies could have been due to spatial-representativeness issues (of the ground measurement compared to S2), the differences between spectral bands, and the quality of the atmospheric correction applied on S2 data (accuracy of the sun/sky photometer instrument was better than 0.1%). However, the accuracy of the atmospheric correction applied on S2 data in this station appeared to be of good quality, and no dependence on the presence of aerosols was observed. This first analysis of the potential of the CIMEL CE318 sun/sky photometer to monitor the surface is encouraging. Further analyses need to be carried out to estimate the potential in different AERONET stations. The occasional rerouting of AERONET stations could lead to a complementary network of surface reflectance observations. This would require an update of the software, and eventual adaptations of the measurement platforms to the station environments. The additional cost, based on the existing AERONET network, would be quite limited. These new surface measurements would be interesting for measurements of vegetation health (monitoring of NDVI, and also of other vegetation indices such as the leaf area and chlorophyll indices), for validation and calibration exercise purposes, and possibly to refine various scientific algorithms (i.e., algorithms dedicated to cloud detection or the AERONET aerosol retrieval algorithm itself). CIMEL is ready to include the ground scenario used in this study in all new sun/sky photometers.

Highlights

  • The physical and optical characteristics of atmospheric particles can be determined over selected regions using the Aerosol Robotic Network (AERONET), which encompasses hundreds of stations around the world, equipped with sun/sky scanning spectral photometers [1]

  • The objective of this study is to evaluate the capability of a sun/sky photometer from the AERONET network to observe the surface, in addition to the atmosphere

  • The objective of this study was to evaluate the potential of AERONET sun/sky photometers for the observation of the surface properties

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Summary

Introduction

The physical and optical characteristics of atmospheric particles can be determined over selected regions using the Aerosol Robotic Network (AERONET), which encompasses hundreds of stations around the world, equipped with sun/sky scanning spectral photometers [1]. Conceived in the early 1990s, AERONET is a network of autonomously operated CIMEL Electronique sun/sky photometers, used to measure sun and moon collimated direct-beam irradiance and directional sky radiance. This network provides quality-assured, column-integrated aerosol microphysical and radiative properties and aerosol optical depth (AOD). Dubovik and King [13] obtained products such as aerosol volume-size distribution, complex index of refraction, single scattering albedo, and phase functions. These studies poorly investigated the interest of pointing a sun/sky photometer in a downward direction to the surface. The RObotic Station for Atmosphere and Surface characterization (ROSAS) [14]

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