A feasibility study of uninhabited aircraft systems for rapid and cost-effective plant stress monitoring at green stormwater infrastructure facilities

Vegetation health monitoring is key to identifying early signs of water stress, pollutant-induced toxicity, and plant diseases in green urban stormwater facilities. However, rigorous monitoring to collect accurate quantitative data is an expensive and time-consuming process. This paper examines the...

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Autores principales:	Kery Prettyman, Meghna Babbar-Sebens, Christopher E. Parrish, Jeremy Matthew Babbar-Sebens
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	fraction of intercepted photosynthetically active radiation green infrastructure ndvi stormwater uninhabited aircraft systems vegetation monitoring Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/ce51579b2a56411289eaf4917db79ce2
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spelling	oai:doaj.org-article:ce51579b2a56411289eaf4917db79ce22021-11-05T17:46:30ZA feasibility study of uninhabited aircraft systems for rapid and cost-effective plant stress monitoring at green stormwater infrastructure facilities1464-71411465-173410.2166/hydro.2020.195https://doaj.org/article/ce51579b2a56411289eaf4917db79ce22021-05-01T00:00:00Zhttp://jh.iwaponline.com/content/23/3/417https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734Vegetation health monitoring is key to identifying early signs of water stress, pollutant-induced toxicity, and plant diseases in green urban stormwater facilities. However, rigorous monitoring to collect accurate quantitative data is an expensive and time-consuming process. This paper examines the feasibility of using uninhabited aircraft systems (UAS), in comparison to standard ground-based methods, for monitoring biomass and primary production in two bioswale cells at an urban stormwater facility. Implementation of the UAS-based approach involved flight planning in an urban area to meet resolution requirements of bioswale imagery obtained from near-infrared and red-green-blue cameras. The resulting normalized difference vegetation index (NDVI) estimated from UAS data was tracked over a 2-month period during the transition from spring to summer, showing the spatial distribution of NDVI and the change in vegetation coverage areas over time. In comparison, ground-based measurements of the fraction of intercepted photosynthetically active radiation (PAR) presented multiple practical challenges during implementation in the field, leading to over- and underestimates of intercepted PAR. Overall, UAS-derived NDVI was found to be a valuable reflectance-based, vegetation health-monitoring methodology that can be used by utilities and cities for practical, cost-effective, and rapid assessment of vegetation stress and for long-term maintenance in green stormwater facilities. HIGHLIGHTS Ground-based monitoring of green infrastructure (GI) facilities for estimation of fraction of intercepted photosynthetically active radiation poses multiple operational challenges.; Uninhabited aircraft systems (UAS) were found to enable efficient acquisition of multi-temporal normalized difference vegetation index (NDVI) data for GI site monitoring, through the workflow developed in this study.; Time series of UAS-derived NDVI showed the expected downward trend over a two-month period starting on June 1, 2019.; Spatial variation in UAS-derived NDVI provides plant-specific health information that may assist in GI site management.;Kery PrettymanMeghna Babbar-SebensChristopher E. ParrishJeremy Matthew Babbar-SebensIWA Publishingarticlefraction of intercepted photosynthetically active radiationgreen infrastructurendvistormwateruninhabited aircraft systemsvegetation monitoringInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 3, Pp 417-437 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	fraction of intercepted photosynthetically active radiation green infrastructure ndvi stormwater uninhabited aircraft systems vegetation monitoring Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
spellingShingle	fraction of intercepted photosynthetically active radiation green infrastructure ndvi stormwater uninhabited aircraft systems vegetation monitoring Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 Kery Prettyman Meghna Babbar-Sebens Christopher E. Parrish Jeremy Matthew Babbar-Sebens A feasibility study of uninhabited aircraft systems for rapid and cost-effective plant stress monitoring at green stormwater infrastructure facilities
description	Vegetation health monitoring is key to identifying early signs of water stress, pollutant-induced toxicity, and plant diseases in green urban stormwater facilities. However, rigorous monitoring to collect accurate quantitative data is an expensive and time-consuming process. This paper examines the feasibility of using uninhabited aircraft systems (UAS), in comparison to standard ground-based methods, for monitoring biomass and primary production in two bioswale cells at an urban stormwater facility. Implementation of the UAS-based approach involved flight planning in an urban area to meet resolution requirements of bioswale imagery obtained from near-infrared and red-green-blue cameras. The resulting normalized difference vegetation index (NDVI) estimated from UAS data was tracked over a 2-month period during the transition from spring to summer, showing the spatial distribution of NDVI and the change in vegetation coverage areas over time. In comparison, ground-based measurements of the fraction of intercepted photosynthetically active radiation (PAR) presented multiple practical challenges during implementation in the field, leading to over- and underestimates of intercepted PAR. Overall, UAS-derived NDVI was found to be a valuable reflectance-based, vegetation health-monitoring methodology that can be used by utilities and cities for practical, cost-effective, and rapid assessment of vegetation stress and for long-term maintenance in green stormwater facilities. HIGHLIGHTS Ground-based monitoring of green infrastructure (GI) facilities for estimation of fraction of intercepted photosynthetically active radiation poses multiple operational challenges.; Uninhabited aircraft systems (UAS) were found to enable efficient acquisition of multi-temporal normalized difference vegetation index (NDVI) data for GI site monitoring, through the workflow developed in this study.; Time series of UAS-derived NDVI showed the expected downward trend over a two-month period starting on June 1, 2019.; Spatial variation in UAS-derived NDVI provides plant-specific health information that may assist in GI site management.;
format	article
author	Kery Prettyman Meghna Babbar-Sebens Christopher E. Parrish Jeremy Matthew Babbar-Sebens
author_facet	Kery Prettyman Meghna Babbar-Sebens Christopher E. Parrish Jeremy Matthew Babbar-Sebens
author_sort	Kery Prettyman
title	A feasibility study of uninhabited aircraft systems for rapid and cost-effective plant stress monitoring at green stormwater infrastructure facilities
title_short	A feasibility study of uninhabited aircraft systems for rapid and cost-effective plant stress monitoring at green stormwater infrastructure facilities
title_full	A feasibility study of uninhabited aircraft systems for rapid and cost-effective plant stress monitoring at green stormwater infrastructure facilities
title_fullStr	A feasibility study of uninhabited aircraft systems for rapid and cost-effective plant stress monitoring at green stormwater infrastructure facilities
title_full_unstemmed	A feasibility study of uninhabited aircraft systems for rapid and cost-effective plant stress monitoring at green stormwater infrastructure facilities
title_sort	feasibility study of uninhabited aircraft systems for rapid and cost-effective plant stress monitoring at green stormwater infrastructure facilities
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/ce51579b2a56411289eaf4917db79ce2
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A feasibility study of uninhabited aircraft systems for rapid and cost-effective plant stress monitoring at green stormwater infrastructure facilities

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