Applied aerial spectroscopy: A case study on remote sensing of an ancient and semi-natural woodland

An area of ancient and semi-natural woodland (ASNW) has been investigated by applied aerial spectroscopy using an unmanned aerial vehicle (UAV) with multispectral image (MSI) camera. A novel normalised difference spectral index (NDSI) algorithm was developed using principal component analysis (PCA)....

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Shara Ahmed, Catherine E. Nicholson, Paul Muto, Justin J. Perry, John R. Dean
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/50af5f2f8e494776bf1fa281c80d9ef4
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:50af5f2f8e494776bf1fa281c80d9ef4
record_format	dspace
spelling	oai:doaj.org-article:50af5f2f8e494776bf1fa281c80d9ef42021-11-25T05:54:24ZApplied aerial spectroscopy: A case study on remote sensing of an ancient and semi-natural woodland1932-6203https://doaj.org/article/50af5f2f8e494776bf1fa281c80d9ef42021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592455/?tool=EBIhttps://doaj.org/toc/1932-6203An area of ancient and semi-natural woodland (ASNW) has been investigated by applied aerial spectroscopy using an unmanned aerial vehicle (UAV) with multispectral image (MSI) camera. A novel normalised difference spectral index (NDSI) algorithm was developed using principal component analysis (PCA). This novel NDSI was then combined with a simple segmentation method of thresholding and applied for the identification of native tree species as well as the overall health of the woodland. Using this new approach allowed the identification of trees at canopy level, across 7.4 hectares (73,934 m2) of ASNW, as oak (53%), silver birch (37%), empty space (9%) and dead trees (1%). This UAV derived data was corroborated, for its accuracy, by a statistically valid ground-level field study that identified oak (47%), silver birch (46%) and dead trees (7.4%). This simple innovative approach, using a low-cost multirotor UAV with MSI camera, is both rapid to deploy, was flown around 100 m above ground level, provides useable high resolution (5.3 cm / pixel) data within 22 mins that can be interrogated using readily available PC-based software to identify tree species. In addition, it provides an overall oversight of woodland health and has the potential to inform a future woodland regeneration strategy.Shara AhmedCatherine E. NicholsonPaul MutoJustin J. PerryJohn R. DeanPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Shara Ahmed Catherine E. Nicholson Paul Muto Justin J. Perry John R. Dean Applied aerial spectroscopy: A case study on remote sensing of an ancient and semi-natural woodland
description	An area of ancient and semi-natural woodland (ASNW) has been investigated by applied aerial spectroscopy using an unmanned aerial vehicle (UAV) with multispectral image (MSI) camera. A novel normalised difference spectral index (NDSI) algorithm was developed using principal component analysis (PCA). This novel NDSI was then combined with a simple segmentation method of thresholding and applied for the identification of native tree species as well as the overall health of the woodland. Using this new approach allowed the identification of trees at canopy level, across 7.4 hectares (73,934 m2) of ASNW, as oak (53%), silver birch (37%), empty space (9%) and dead trees (1%). This UAV derived data was corroborated, for its accuracy, by a statistically valid ground-level field study that identified oak (47%), silver birch (46%) and dead trees (7.4%). This simple innovative approach, using a low-cost multirotor UAV with MSI camera, is both rapid to deploy, was flown around 100 m above ground level, provides useable high resolution (5.3 cm / pixel) data within 22 mins that can be interrogated using readily available PC-based software to identify tree species. In addition, it provides an overall oversight of woodland health and has the potential to inform a future woodland regeneration strategy.
format	article
author	Shara Ahmed Catherine E. Nicholson Paul Muto Justin J. Perry John R. Dean
author_facet	Shara Ahmed Catherine E. Nicholson Paul Muto Justin J. Perry John R. Dean
author_sort	Shara Ahmed
title	Applied aerial spectroscopy: A case study on remote sensing of an ancient and semi-natural woodland
title_short	Applied aerial spectroscopy: A case study on remote sensing of an ancient and semi-natural woodland
title_full	Applied aerial spectroscopy: A case study on remote sensing of an ancient and semi-natural woodland
title_fullStr	Applied aerial spectroscopy: A case study on remote sensing of an ancient and semi-natural woodland
title_full_unstemmed	Applied aerial spectroscopy: A case study on remote sensing of an ancient and semi-natural woodland
title_sort	applied aerial spectroscopy: a case study on remote sensing of an ancient and semi-natural woodland
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/50af5f2f8e494776bf1fa281c80d9ef4
work_keys_str_mv	AT sharaahmed appliedaerialspectroscopyacasestudyonremotesensingofanancientandseminaturalwoodland AT catherineenicholson appliedaerialspectroscopyacasestudyonremotesensingofanancientandseminaturalwoodland AT paulmuto appliedaerialspectroscopyacasestudyonremotesensingofanancientandseminaturalwoodland AT justinjperry appliedaerialspectroscopyacasestudyonremotesensingofanancientandseminaturalwoodland AT johnrdean appliedaerialspectroscopyacasestudyonremotesensingofanancientandseminaturalwoodland
_version_	1718414399464538112

Applied aerial spectroscopy: A case study on remote sensing of an ancient and semi-natural woodland

Ejemplares similares