High-Throughput Remote Sensing of Vertical Green Living Walls (VGWs) in Workplaces

  • David Helman*
  • , Yehuda Yungstein
  • , Gabriel Mulero
  • , Yaron Michael
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Vertical green living walls (VGWs)—growing plants on vertical walls inside or outside buildings—have been suggested as a nature-based solution to improve air quality and comfort in modern cities. However, as with other greenery systems (e.g., agriculture), managing VGW systems requires adequate temporal and spatial monitoring of the plants as well as the surrounding environment. Remote sensing cameras and small, low-cost sensors have become increasingly valuable for conventional vegetation monitoring; nevertheless, they have rarely been used in VGWs. In this descriptive paper, we present a first-of-its-kind remote sensing high-throughput monitoring system in a VGW workplace. The system includes low- and high-cost sensors, thermal and hyperspectral remote sensing cameras, and in situ gas-exchange measurements. In addition, air temperature, relative humidity, and carbon dioxide concentrations are constantly monitored in the operating workplace room (scientific computer lab) where the VGW is established, while data are continuously streamed online to an analytical and visualization web application. Artificial Intelligence is used to automatically monitor changes across the living wall. Preliminary results of our unique monitoring system are presented under actual working room conditions while discussing future directions and potential applications of such a high-throughput remote sensing VGW system.

Original languageEnglish
Article number14
Pages (from-to)3485
Number of pages1
JournalRemote Sensing
Volume14
Issue number14
DOIs
StatePublished - Jul 2022

Bibliographical note

Publisher Copyright:
© 2022 by the authors.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • artificial intelligence (AI)
  • greenery system
  • hyperspectral
  • machine learning
  • nature-based solution
  • remote sensing
  • thermal
  • urban agriculture
  • urban farming
  • urban vegetation
  • vertical green living wall (VGW)

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