Assessing the Raspberry Pi as a low-cost alternative for acquisition of near infrared hemispherical digital imagery

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@article{a8ffe21bd3534579a1c19f03bd6a55f4,
title = "Assessing the Raspberry Pi as a low-cost alternative for acquisition of near infrared hemispherical digital imagery",
abstract = "Hemispherical imagery is used in many different sub-fields of climatology to calculate local radiation budgets via sky-view factor analysis. For example, in forested environments, hemispherical imagery can be used to assess the leaf canopy, (i.e. leaf area / gap fraction) as well as the radiation below the canopy structure. Nikon Coolpix cameras equipped with an FC-E8 fisheye lens have become a standard device used in hemispherical imagery analysis however as the camera is no longer manufactured, a new approach needs to be investigated, not least to take advantage of the rapid development in digital photography over the last decade. This paper conducts a comparison between a Nikon Coolpix camera and a cheaper alternative, the Raspberry Pi NoIR camera, to assess its suitability as a viable alternative for future research. The results are promising with low levels of distortion, comparable to the Nikon. Resultant sky-view factor analyses also yield promising results, but challenges remain to overcome small differences in the field of view as well as the present availability of bespoke fittings.",
keywords = "hemispherical fisheye , near infra-red , Raspberry Pi , sensors",
author = "Jennifer Kirby and Lee Chapman and Victoria Chapman",
year = "2018",
month = sep,
day = "15",
doi = "10.1016/j.agrformet.2018.05.004",
language = "English",
volume = "259",
pages = "232--239",
journal = "Agricultural and Forest Meteorology",
issn = "0168-1923",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Assessing the Raspberry Pi as a low-cost alternative for acquisition of near infrared hemispherical digital imagery

AU - Kirby, Jennifer

AU - Chapman, Lee

AU - Chapman, Victoria

PY - 2018/9/15

Y1 - 2018/9/15

N2 - Hemispherical imagery is used in many different sub-fields of climatology to calculate local radiation budgets via sky-view factor analysis. For example, in forested environments, hemispherical imagery can be used to assess the leaf canopy, (i.e. leaf area / gap fraction) as well as the radiation below the canopy structure. Nikon Coolpix cameras equipped with an FC-E8 fisheye lens have become a standard device used in hemispherical imagery analysis however as the camera is no longer manufactured, a new approach needs to be investigated, not least to take advantage of the rapid development in digital photography over the last decade. This paper conducts a comparison between a Nikon Coolpix camera and a cheaper alternative, the Raspberry Pi NoIR camera, to assess its suitability as a viable alternative for future research. The results are promising with low levels of distortion, comparable to the Nikon. Resultant sky-view factor analyses also yield promising results, but challenges remain to overcome small differences in the field of view as well as the present availability of bespoke fittings.

AB - Hemispherical imagery is used in many different sub-fields of climatology to calculate local radiation budgets via sky-view factor analysis. For example, in forested environments, hemispherical imagery can be used to assess the leaf canopy, (i.e. leaf area / gap fraction) as well as the radiation below the canopy structure. Nikon Coolpix cameras equipped with an FC-E8 fisheye lens have become a standard device used in hemispherical imagery analysis however as the camera is no longer manufactured, a new approach needs to be investigated, not least to take advantage of the rapid development in digital photography over the last decade. This paper conducts a comparison between a Nikon Coolpix camera and a cheaper alternative, the Raspberry Pi NoIR camera, to assess its suitability as a viable alternative for future research. The results are promising with low levels of distortion, comparable to the Nikon. Resultant sky-view factor analyses also yield promising results, but challenges remain to overcome small differences in the field of view as well as the present availability of bespoke fittings.

KW - hemispherical fisheye

KW - near infra-red

KW - Raspberry Pi

KW - sensors

U2 - 10.1016/j.agrformet.2018.05.004

DO - 10.1016/j.agrformet.2018.05.004

M3 - Article

VL - 259

SP - 232

EP - 239

JO - Agricultural and Forest Meteorology

JF - Agricultural and Forest Meteorology

SN - 0168-1923

ER -