Abstract

In recent years, smart phones have been explored for making a variety of mobile measurements. Smart phones feature many advanced sensors such as cameras, GPS capability, and accelerometers within a handheld device that is portable, inexpensive, and consistently located with an end user. In this work, a smartphone was used as a sun photometer for the remote sensing of atmospheric optical depth. The top-of-the-atmosphere (TOA) irradiance was estimated through the construction of Langley plots on days when the sky was cloudless and clear. Changes in optical depth were monitored on a different day when clouds intermittently blocked the sun. The device demonstrated a measurement precision of 1.2% relative standard deviation for replicate photograph measurements (38 trials, 134 datum). However, when the accuracy of the method was assessed through using optical filters of known transmittance, a more substantial uncertainty was apparent in the data. Roughly 95% of replicate smart phone measured transmittances are expected to lie within ±11.6% of the true transmittance value. This uncertainty in transmission corresponds to an optical depth of approx. ±0.12–0.13 suggesting the smartphone sun photometer would be useful only in polluted areas that experience significant optical depths. The device can be used as a tool in the classroom to present how aerosols and gases effect atmospheric transmission. If improvements in measurement precision can be achieved, future work may allow monitoring networks to be developed in which citizen scientists submit acquired data from a variety of locations.

Highlights

  • In recent years smart phones have become ubiquitous in society

  • A common smart phone has been adapted for use as a sun photometer

  • The measurement uncertainty is similar to the average aerosol optical depths for the continental United States

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Summary

Introduction

In recent years smart phones have become ubiquitous in society. These devices offer unique platforms for remote monitoring applications as they contain advanced processors and communication ability, are equipped with sophisticated sensors (cameras, accelerometers, and GPS), and are consistently located with an end user. The platform offers the potential of massively parallel sensing of environmental pollutants, inexpensive medical diagnosis, and unmatched utility for a variety of associated social and epidemiological studies. While it is unclear if this potential will ever be fully realized, several groups have already begun exploring the idea. Delaney et al suggest cell phones coupled with electrogenerated chemiluminescence detection may offer options for rapid medical diagnosis in developing nations [7]

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