Assessing the Raspberry Pi as a low-cost alternative for acquisition of near infrared hemispherical digital imagery
Research output: Contribution to journal › Article › peer-review
Colleges, School and Institutes
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.
|Journal||Agricultural and Forest Meteorology|
|Early online date||15 May 2018|
|Publication status||Published - 15 Sep 2018|
- hemispherical fisheye , near infra-red , Raspberry Pi , sensors