Estimating the Threshold of Detection on Tree Crown Defoliation Using Vegetation Indices from UAS Multispectral Imagery

Periodical outbreaks of Thaumetopoea pityocampa feeding on pine needles may pose a threat to Mediterranean coniferous forests by causing severe tree defoliation, growth reduction, and eventually mortality. To cost–effectively monitor the temporal and spatial damages in pine–oak mixed stands using un...

Descripción completa

Detalles Bibliográficos
Autores: Otsu, Kaori, Pla, Magda, Duane, Andrea, Cardil Forradellas, Adrián, Brotons, Lluís
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/84378
Acceso en línea:https://doi.org/10.3390/drones3040080
http://hdl.handle.net/10459.1/84378
Access Level:acceso abierto
Palabra clave:Unmanned aerial systems (UAS)
Multispectral imagery
Forest defoliation
Thaumetopoea pityocampa
Vegetation index
Thresholding analysis
id ES_4fd85548391e8b85d2b87e0b360fc2e9
oai_identifier_str oai:recercat.cat:10459.1/84378
network_acronym_str ES
network_name_str España
repository_id_str
spelling Estimating the Threshold of Detection on Tree Crown Defoliation Using Vegetation Indices from UAS Multispectral ImageryOtsu, KaoriPla, MagdaDuane, AndreaCardil Forradellas, AdriánBrotons, LluísUnmanned aerial systems (UAS)Multispectral imageryForest defoliationThaumetopoea pityocampaVegetation indexThresholding analysisPeriodical outbreaks of Thaumetopoea pityocampa feeding on pine needles may pose a threat to Mediterranean coniferous forests by causing severe tree defoliation, growth reduction, and eventually mortality. To cost–effectively monitor the temporal and spatial damages in pine–oak mixed stands using unmanned aerial systems (UASs) for multispectral imagery, we aimed at developing a simple thresholding classification tool for forest practitioners as an alternative method to complex classifiers such as Random Forest. The UAS flights were performed during winter 2017–2018 over four study areas in Catalonia, northeastern Spain. To detect defoliation and further distinguish pine species, we conducted nested histogram thresholding analyses with four UAS-derived vegetation indices (VIs) and evaluated classification accuracy. The normalized difference vegetation index (NDVI) and NDVI red edge performed the best for detecting defoliation with an overall accuracy of 95% in the total study area. For discriminating pine species, accuracy results of 93–96% were only achievable with green NDVI in the partial study area, where the Random Forest classification combined for defoliation and tree species resulted in 91–93%. Finally, we achieved to estimate the average thresholds of VIs for detecting defoliation over the total area, which may be applicable across similar Mediterranean pine stands for monitoring regional forest health on a large scale.MDPI202220222019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.3390/drones3040080http://hdl.handle.net/10459.1/84378http://hdl.handle.net/10459.1/84378reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a https://doi.org/10.3390/drones3040080Drones, 2019, vol. 3, núm. 4, art. 80cc-by (c) Kaori Otsu et. al., 2019info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:recercat.cat:10459.1/843782026-05-29T05:05:01Z
dc.title.none.fl_str_mv Estimating the Threshold of Detection on Tree Crown Defoliation Using Vegetation Indices from UAS Multispectral Imagery
title Estimating the Threshold of Detection on Tree Crown Defoliation Using Vegetation Indices from UAS Multispectral Imagery
spellingShingle Estimating the Threshold of Detection on Tree Crown Defoliation Using Vegetation Indices from UAS Multispectral Imagery
Otsu, Kaori
Unmanned aerial systems (UAS)
Multispectral imagery
Forest defoliation
Thaumetopoea pityocampa
Vegetation index
Thresholding analysis
title_short Estimating the Threshold of Detection on Tree Crown Defoliation Using Vegetation Indices from UAS Multispectral Imagery
title_full Estimating the Threshold of Detection on Tree Crown Defoliation Using Vegetation Indices from UAS Multispectral Imagery
title_fullStr Estimating the Threshold of Detection on Tree Crown Defoliation Using Vegetation Indices from UAS Multispectral Imagery
title_full_unstemmed Estimating the Threshold of Detection on Tree Crown Defoliation Using Vegetation Indices from UAS Multispectral Imagery
title_sort Estimating the Threshold of Detection on Tree Crown Defoliation Using Vegetation Indices from UAS Multispectral Imagery
dc.creator.none.fl_str_mv Otsu, Kaori
Pla, Magda
Duane, Andrea
Cardil Forradellas, Adrián
Brotons, Lluís
author Otsu, Kaori
author_facet Otsu, Kaori
Pla, Magda
Duane, Andrea
Cardil Forradellas, Adrián
Brotons, Lluís
author_role author
author2 Pla, Magda
Duane, Andrea
Cardil Forradellas, Adrián
Brotons, Lluís
author2_role author
author
author
author
dc.subject.none.fl_str_mv Unmanned aerial systems (UAS)
Multispectral imagery
Forest defoliation
Thaumetopoea pityocampa
Vegetation index
Thresholding analysis
topic Unmanned aerial systems (UAS)
Multispectral imagery
Forest defoliation
Thaumetopoea pityocampa
Vegetation index
Thresholding analysis
description Periodical outbreaks of Thaumetopoea pityocampa feeding on pine needles may pose a threat to Mediterranean coniferous forests by causing severe tree defoliation, growth reduction, and eventually mortality. To cost–effectively monitor the temporal and spatial damages in pine–oak mixed stands using unmanned aerial systems (UASs) for multispectral imagery, we aimed at developing a simple thresholding classification tool for forest practitioners as an alternative method to complex classifiers such as Random Forest. The UAS flights were performed during winter 2017–2018 over four study areas in Catalonia, northeastern Spain. To detect defoliation and further distinguish pine species, we conducted nested histogram thresholding analyses with four UAS-derived vegetation indices (VIs) and evaluated classification accuracy. The normalized difference vegetation index (NDVI) and NDVI red edge performed the best for detecting defoliation with an overall accuracy of 95% in the total study area. For discriminating pine species, accuracy results of 93–96% were only achievable with green NDVI in the partial study area, where the Random Forest classification combined for defoliation and tree species resulted in 91–93%. Finally, we achieved to estimate the average thresholds of VIs for detecting defoliation over the total area, which may be applicable across similar Mediterranean pine stands for monitoring regional forest health on a large scale.
publishDate 2019
dc.date.none.fl_str_mv 2019
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.3390/drones3040080
http://hdl.handle.net/10459.1/84378
http://hdl.handle.net/10459.1/84378
url https://doi.org/10.3390/drones3040080
http://hdl.handle.net/10459.1/84378
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a https://doi.org/10.3390/drones3040080
Drones, 2019, vol. 3, núm. 4, art. 80
dc.rights.none.fl_str_mv cc-by (c) Kaori Otsu et. al., 2019
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by (c) Kaori Otsu et. al., 2019
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407844838670336
score 15,811543

Similares en LA Referencia