Remote sensing of atmospheric optical depth using a smartphone sun photometer
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...
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description | 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. |
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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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0084119</identifier><identifier>PMID: 24416199</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accelerometers ; Atmosphere - chemistry ; Atmospheric aerosols ; Atmospheric physics ; Atmospheric transmission ; Biochemistry ; Cameras ; Cell Phone ; Cellular telephones ; Chemistry ; Clouds ; Computer Science ; Data acquisition ; Datum (elevation) ; Earth Sciences ; Engineering ; Gases ; Irradiance ; Laboratories ; Light ; Medical diagnosis ; Optical analysis ; Optical filters ; Optical Phenomena ; Optics ; Outdoor air quality ; Photometers ; Photometry - instrumentation ; Portable equipment ; Quantum dots ; Reference Standards ; Remote sensing ; Remote Sensing Technology - instrumentation ; Remote Sensing Technology - methods ; Sensors ; Sky ; Smart phones ; Smartphones ; Solar System ; Sun ; Transmittance ; Uncertainty</subject><ispartof>PloS one, 2014-01, Vol.9 (1), p.e84119-e84119</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Cao, Thompson. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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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.</description><subject>Accelerometers</subject><subject>Atmosphere - chemistry</subject><subject>Atmospheric aerosols</subject><subject>Atmospheric physics</subject><subject>Atmospheric transmission</subject><subject>Biochemistry</subject><subject>Cameras</subject><subject>Cell Phone</subject><subject>Cellular telephones</subject><subject>Chemistry</subject><subject>Clouds</subject><subject>Computer Science</subject><subject>Data acquisition</subject><subject>Datum (elevation)</subject><subject>Earth Sciences</subject><subject>Engineering</subject><subject>Gases</subject><subject>Irradiance</subject><subject>Laboratories</subject><subject>Light</subject><subject>Medical diagnosis</subject><subject>Optical analysis</subject><subject>Optical filters</subject><subject>Optical Phenomena</subject><subject>Optics</subject><subject>Outdoor air quality</subject><subject>Photometers</subject><subject>Photometry - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cao, Tingting</au><au>Thompson, Jonathan E</au><au>Dias, João Miguel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Remote sensing of atmospheric optical depth using a smartphone sun photometer</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-01-08</date><risdate>2014</risdate><volume>9</volume><issue>1</issue><spage>e84119</spage><epage>e84119</epage><pages>e84119-e84119</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24416199</pmid><doi>10.1371/journal.pone.0084119</doi><tpages>e84119</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Accelerometers Atmosphere - chemistry Atmospheric aerosols Atmospheric physics Atmospheric transmission Biochemistry Cameras Cell Phone Cellular telephones Chemistry Clouds Computer Science Data acquisition Datum (elevation) Earth Sciences Engineering Gases Irradiance Laboratories Light Medical diagnosis Optical analysis Optical filters Optical Phenomena Optics Outdoor air quality Photometers Photometry - instrumentation Portable equipment Quantum dots Reference Standards Remote sensing Remote Sensing Technology - instrumentation Remote Sensing Technology - methods Sensors Sky Smart phones Smartphones Solar System Sun Transmittance Uncertainty |
title | Remote sensing of atmospheric optical depth using a smartphone sun photometer |
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