Suitability of a single imager multispectral sensor for tree health analysis

Michael M Bahe; Ryan L. Murphy; Matthew B. Russell; Joseph F. Knight; Gary Johnson

doi:10.1016/j.ufug.2021.127187

Suitability of a single imager multispectral sensor for tree health analysis

Michael M Bahe, Ryan L. Murphy, Matthew B. Russell, Joseph F. Knight, Gary Johnson

Forest Resources

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4 Scopus citations

Abstract

The objective of this project was to validate the efficacy of a miniature multispectral, single-sensor camera for detecting stress in deciduous juvenile tree foliage in a controlled environment. To that end, deciduous liners (one year old, nursery-grown transplants) representing five tree species (Celtis occidentalis L., Gleditsia triacanthos forma inermis Schneid, Gymnocladus dioicus (L.) K. Koch, Quercus rubra L., and Ulmus americana L.) were containerized and subsequently subjected to two treatments representing common landscape site stresses: drought and elevated soil pH. To minimize any atmospheric effects on reflectance values, the trees were placed in enclosed, artificially lit chambers during the detection process. The normalized difference vegetation index (NDVI) was utilized as the metric for analysis. Results showed the single imager sensor derived NDVI values were reliable indicators of tree stress within the species groups. Results also revealed that the derived values were not reliable indicators of tree stress across the species groups.

Original language	English (US)
Article number	127187
Journal	Urban Forestry and Urban Greening
Volume	63
DOIs	https://doi.org/10.1016/j.ufug.2021.127187
State	Published - Aug 2021

Bibliographical note

Funding Information:
Funding for this research was provided in part by the Minnesota Department of Natural Resources , the U.S. Forest Service Eastern Region, and the University of Minnesota Urban Forestry Outreach Research and Extension Lab . The University of Minnesota is an equal opportunity provider.

Publisher Copyright:
© 2021 Elsevier GmbH

Keywords

NDVI
Remote sensing
UAS
Urban forestry
Vegetation index

UN SDGs

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

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10.1016/j.ufug.2021.127187

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title = "Suitability of a single imager multispectral sensor for tree health analysis",

abstract = "The objective of this project was to validate the efficacy of a miniature multispectral, single-sensor camera for detecting stress in deciduous juvenile tree foliage in a controlled environment. To that end, deciduous liners (one year old, nursery-grown transplants) representing five tree species (Celtis occidentalis L., Gleditsia triacanthos forma inermis Schneid, Gymnocladus dioicus (L.) K. Koch, Quercus rubra L., and Ulmus americana L.) were containerized and subsequently subjected to two treatments representing common landscape site stresses: drought and elevated soil pH. To minimize any atmospheric effects on reflectance values, the trees were placed in enclosed, artificially lit chambers during the detection process. The normalized difference vegetation index (NDVI) was utilized as the metric for analysis. Results showed the single imager sensor derived NDVI values were reliable indicators of tree stress within the species groups. Results also revealed that the derived values were not reliable indicators of tree stress across the species groups.",

keywords = "NDVI, Remote sensing, UAS, Urban forestry, Vegetation index",

author = "Bahe, {Michael M} and Murphy, {Ryan L.} and Russell, {Matthew B.} and Knight, {Joseph F.} and Gary Johnson",

note = "Funding Information: Funding for this research was provided in part by the Minnesota Department of Natural Resources , the U.S. Forest Service Eastern Region, and the University of Minnesota Urban Forestry Outreach Research and Extension Lab . The University of Minnesota is an equal opportunity provider. Publisher Copyright: {\textcopyright} 2021 Elsevier GmbH",

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doi = "10.1016/j.ufug.2021.127187",

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AU - Bahe, Michael M

AU - Murphy, Ryan L.

AU - Russell, Matthew B.

AU - Knight, Joseph F.

AU - Johnson, Gary

N1 - Funding Information: Funding for this research was provided in part by the Minnesota Department of Natural Resources , the U.S. Forest Service Eastern Region, and the University of Minnesota Urban Forestry Outreach Research and Extension Lab . The University of Minnesota is an equal opportunity provider. Publisher Copyright: © 2021 Elsevier GmbH

PY - 2021/8

Y1 - 2021/8

N2 - The objective of this project was to validate the efficacy of a miniature multispectral, single-sensor camera for detecting stress in deciduous juvenile tree foliage in a controlled environment. To that end, deciduous liners (one year old, nursery-grown transplants) representing five tree species (Celtis occidentalis L., Gleditsia triacanthos forma inermis Schneid, Gymnocladus dioicus (L.) K. Koch, Quercus rubra L., and Ulmus americana L.) were containerized and subsequently subjected to two treatments representing common landscape site stresses: drought and elevated soil pH. To minimize any atmospheric effects on reflectance values, the trees were placed in enclosed, artificially lit chambers during the detection process. The normalized difference vegetation index (NDVI) was utilized as the metric for analysis. Results showed the single imager sensor derived NDVI values were reliable indicators of tree stress within the species groups. Results also revealed that the derived values were not reliable indicators of tree stress across the species groups.

AB - The objective of this project was to validate the efficacy of a miniature multispectral, single-sensor camera for detecting stress in deciduous juvenile tree foliage in a controlled environment. To that end, deciduous liners (one year old, nursery-grown transplants) representing five tree species (Celtis occidentalis L., Gleditsia triacanthos forma inermis Schneid, Gymnocladus dioicus (L.) K. Koch, Quercus rubra L., and Ulmus americana L.) were containerized and subsequently subjected to two treatments representing common landscape site stresses: drought and elevated soil pH. To minimize any atmospheric effects on reflectance values, the trees were placed in enclosed, artificially lit chambers during the detection process. The normalized difference vegetation index (NDVI) was utilized as the metric for analysis. Results showed the single imager sensor derived NDVI values were reliable indicators of tree stress within the species groups. Results also revealed that the derived values were not reliable indicators of tree stress across the species groups.

KW - NDVI

KW - Remote sensing

KW - UAS

KW - Urban forestry

KW - Vegetation index

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Suitability of a single imager multispectral sensor for tree health analysis

Abstract

Bibliographical note

Keywords

UN SDGs

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