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

被引:12
|
作者
Helman, David [1 ,2 ]
Yungstein, Yehuda [1 ,2 ]
Mulero, Gabriel [1 ]
Michael, Yaron [1 ]
机构
[1] Hebrew Univ Jerusalem, Robert H Smith Fac Agr Food & Environm, Inst Environm Sci, Dept Soil & Water Sci, IL-7610001 Rehovot, Israel
[2] Hebrew Univ Jerusalem, Adv Sch Environm Studies, IL-9112102 Jerusalem, Israel
关键词
artificial intelligence (AI); greenery system; hyperspectral; machine learning; nature-based solution; remote sensing; thermal; urban vegetation; urban agriculture; urban farming; vertical green living wall (VGW); PHOTOCHEMICAL REFLECTANCE INDEX; SOIL-WATER CONTENT; CHLOROPHYLL CONTENT; INDOOR AIR; CO2; UPTAKE; PLANT; PHYTOREMEDIATION; LEAF; PRI; EVAPOTRANSPIRATION;
D O I
10.3390/rs14143485
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
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页数:16
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