A grassroots remote sensing toolkit using live coding, smartphones, kites and lightweight drones

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Abstract

This manuscript describes the development of an android-based smartphone application for capturing aerial photographs and spatial metadata automatically, for use in grassroots mapping applications. The aim of the project was to exploit the plethora of on-board sensors within modern smartphones (accelerometer, GPS, compass, camera) to generate ready-to-use spatial data from lightweight aerial platforms such as drones or kites. A visual coding ‘scheme blocks’ framework was used to build the application (‘app’), so that users could customise their own data capture tools in the field. The paper reports on the coding framework, then shows the results of test flights from kites and lightweight drones and finally shows how open-source geospatial toolkits were used to generate geographical information system (GIS)-ready GeoTIFF images from the metadata stored by the app. Two Android smartphones were used in testing–a high specification OnePlus One handset and a lower cost Acer Liquid Z3 handset, to test the operational limits of the app on phones with different sensor sets. We demonstrate that best results were obtained when the phone was attached to a stable single line kite or to a gliding drone. Results show that engine or motor vibrations from powered aircraft required dampening to ensure capture of high quality images. We demonstrate how the products generated from the open-source processing workflow are easily used in GIS. The app can be downloaded freely from the Google store by searching for ‘UAV toolkit’ (UAV toolkit 2016), and used wherever an Android smartphone and aerial platform are available to deliver rapid spatial data (e.g. in supporting decision-making in humanitarian disaster-relief zones, in teaching or for grassroots remote sensing and democratic mapping).

Figures

  • Table 1. Specifications of the two test smartphones used in this study. All information taken from http://www.gsmchoice.co.uk/ [accessed 4 August
  • Table 2. Airborne platforms used for testing the app and the various sites where flight tests were performed.
  • Fig 1. A 3D printed holder for the OnePlus One handset for suspension from a single line KAP kite. (a) the bare 3D printed holder (b) with the smartphone positioned (c) with superglued earplug dampeners to allow compression to fix the phone in place (d) with a stone taped to the jig to test the kite’s fly-ability with a payload, and fixed using alpine butterfly knots to the kite’s line prior to first deployment of the phone and (e) with the phone fixed using cable/ zip ties prior to the first KAP test flight on a beach showing two of the authors preparing to launch the kite.
  • Fig 2. Examples of basic fitting methods to hold the mobile phone handset in place on airborne platforms. Shown are (a) a wooden bar suspended from two strings on the flexifoil stunt kite with the OnePlus One phone attached using hardware tape (b) the Acer Liquid Z3 taped to the underside of the balsawood Flair Cub aircraft with hardware tape and (c) the OnePlus One phone attached using hardware tape to the underside of the QuanumNova lightweight quadcopter with a sponge to reduce image blurring caused by airframe vibration.
  • Fig 3. Screenshots from the app showing (a) the opening screen (b) the coding scheme bricks and (c) an example of live coding where a scheme brick is in the process of being moved within the program.
  • Fig 4. Examples of the coding blocks that could be chosen on the OnePlus One handset where (a) is the triggers, (b) shows actions that the phone can perform when a trigger is set (c) demonstrates sensor selection and (d) shows mathematical operators.
  • Fig 5. Example metadata shown on the screen of the OnePlus One phone.
  • Fig 6. Vibration issues caused image blurring when the phone handset was not vibration dampened.

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CITATION STYLE

APA

Anderson, K., Griffiths, D., DeBell, L., Hancock, S., Duffy, J. P., Shutler, J. D., … Griffiths, A. (2016). A grassroots remote sensing toolkit using live coding, smartphones, kites and lightweight drones. PLoS ONE, 11(5). https://doi.org/10.1371/journal.pone.0151564

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