
This paper investigates the production of low-cost environmental sensors to collect data on environmental factors influencing plant stress in designed landscapes. Parameters measured include soil moisture, humidity, temperature and solar exposure. A prototype sensor is constructed from available components and installed on a trial site in Sydney, Australia. Data received from the prototype sensor is integrated with a Landscape Information Model to provide ongoing post-occupancy feedback. Results indicate that such sensors are straightforward to assemble, and are cost effective. It is suggested that developing familiarity with this and other sensor applications has potential to improve landscape education and practice. Lack of uptake in the landscape professions is, as indicated by the literature, primarily resulting from lack of training and knowledge barriers. An implementation guide is proposed to address this gap.
Autor / Author: | White, Michael G.; Haeusler, M. Hank; Zeunert, Joshua |
Institution / Institution: | University of New South Wales/Australia; University of New South Wales/Australia; University of New South Wales/Australia |
Seitenzahl / Pages: | 8 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA – Journal of Digital Landscape Architecture, 7-2022 |
Tagung / Conference: | Digital Landscape Architecture 2022 – Hybrid Landscapes |
Veranstaltungsort, -datum / Venue, Date: | Harvard University, Cambridge Mass, USA 09-06-22 - 10-06-22 |
Schlüsselwörter (de): | |
Keywords (en): | Digital sensor, IoT, embedded, landscape performance |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537724012 |
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