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| dc.creator | Cardil Forradellas, Adrián | |
| dc.creator | Otsu, Kaori | |
| dc.creator | Pla, Magda | |
| dc.creator | Silva, Carlos Alberto | |
| dc.creator | Brotons, Lluís | |
| dc.date | 2019-03-19 | |
| dc.date.accessioned | 2025-11-03T12:14:54Z | |
| dc.date.available | 2025-11-03T12:14:54Z | |
| dc.identifier | https://doi.org/10.1371/journal.pone.0213027 | |
| dc.identifier | 1932-6203 | |
| dc.identifier | http://hdl.handle.net/10459.1/66394 | |
| dc.identifier.uri | http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/23870 | |
| dc.description | Pine processionary moth (PPM) feeds on conifer foliage and periodically result in outbreaks leading to large scale defoliation, causing decreased tree growth, vitality and tree reproduction capacity. Multispectral high-resolution imagery acquired from a UAS platform was successfully used to assess pest tree damage at the tree level in a pine-oak mixed forest. We generated point clouds and multispectral orthomosaics from UAS through photogrammetric processes. These were used to automatically delineate individual tree crowns and calculate vegetation indices such as the normalized difference vegetation index (NDVI) and excess green index (ExG) to objectively quantify defoliation of trees previously identified. Overall, our research suggests that UAS imagery and its derived products enable robust estimation of tree crowns with acceptable accuracy and the assessment of tree defoliation by classifying trees along a gradient from completely defoliated to non-defoliated automatically with 81.8% overall accuracy. The promising results presented in this work should inspire further research and applications involving a combination of methods allowing the scaling up of the results on multispectral imagery by integrating satellite remote sensing information in the assessments over large spatial scales. | |
| dc.description | Funded by AC, Programa Torres Quevedo, (Ref. PTQ-15-07588), Ministerio de Ciencia, Innovación y Universidades (Spain), https://sede.micinn.gob.es/portal/site/eSede/menuitem.df29f2378d5d10a0cee63510223041a0?vgnextoid=e7ac1339c3f03410VgnVCM1000001d04140aRCRD&&lang_choosen=en LB, Parrot Innovation Grant. The sponsors or funders did not play any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. Tecnosylva, S.L. provided support in the form of salaries for author AC, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. | |
| dc.language | eng | |
| dc.publisher | Public Library of Science | |
| dc.relation | Reproducció del document publicat a https://doi.org/10.1371/journal.pone.0213027 | |
| dc.relation | PLoS ONE, 2019, vol. 14, núm. 3, e0213027 | |
| dc.rights | cc-by, (c) Cardil et al., 2019 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Processionària del pi | |
| dc.subject | Defoliació | |
| dc.subject | Boscos i silvicultura | |
| dc.title | Quantifying pine processionary moth defoliation in a pine-oak mixed forest using unmanned aerial systems and multispectral imagery | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion |
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