Use of unmanned aerial vehicles for the diagnosis of parasitic plant infestation at the crown level in Pinus hartwegii

Forest degradation has increased in recent years due to biotic, abiotic, and anthropogenic factors. Parasitic plants are some of the main disturbance agents affecting forest resources. In temperate forests, the most frequent pest such as parasitic plants are from the genus Loranthaceae spp. Monitori...

Full description

Bibliographic Details
Main Authors: León-Bañuelos LA, Endara-Agramont AR, Nava-Bernal EG, Gómez-Demetrio W
Format: Article
Language:English
Published: Italian Society of Silviculture and Forest Ecology (SISEF) 2023-10-01
Series:iForest - Biogeosciences and Forestry
Subjects:
Online Access:https://iforest.sisef.org/contents/?id=ifor4002-016
_version_ 1797647692113903616
author León-Bañuelos LA
Endara-Agramont AR
Nava-Bernal EG
Gómez-Demetrio W
author_facet León-Bañuelos LA
Endara-Agramont AR
Nava-Bernal EG
Gómez-Demetrio W
author_sort León-Bañuelos LA
collection DOAJ
description Forest degradation has increased in recent years due to biotic, abiotic, and anthropogenic factors. Parasitic plants are some of the main disturbance agents affecting forest resources. In temperate forests, the most frequent pest such as parasitic plants are from the genus Loranthaceae spp. Monitoring parasitic plants through traditional methods requires a large amount of time and human resources. Unmanned aerial vehicles (UAV) as a remote sensing tool have increased in popularity in different regions. UAV were used to assess the degree of infestation of Yellow Dwarf Mistletoe (YDM). In the present study, the presence of Yellow Dwarf Mistletoe (Arceuthobium globosum Hawksw. & Wiens) was identified using two information collection methods to estimate the level of infestation in a Pinus hartwegii Lindl. forest. First, the traditional method (Hawksworth) was used to estimate the degree of infestation per individual tree. Second, a remote sensing method using UAV was used to capture information at the crown level. Then, the Colorimetric Ranges at the Pixel Level (CRPL) method was used in conjunction with the decomposition of pixels with the RGB (Red-Green-Blue) model to define areas with the presence of infestation. The result of the methods was compared by calculating the pixels equivalence percentages identified as infested per level of infestation. The Hawksworth’s method was used by determining three levels: level 0 (healthy) = 0-2% pixels; Level 1 (medium) = 3-5% pixels; and Level 2 (high) ≥ 5% pixels. The methods coincided in detecting a high level of infestation while were biased in detecting healthy trees and low levels of infestation. Nonetheless, the remote sensing method using UAV remains a viable alternative in the monitoring of mistletoe for its capacity to present an overall diagnosis of the level of infestation.
first_indexed 2024-03-11T15:21:10Z
format Article
id doaj.art-7b4b5161d8e14fadb84b7889b1a09858
institution Directory Open Access Journal
issn 1971-7458
language English
last_indexed 2024-03-11T15:21:10Z
publishDate 2023-10-01
publisher Italian Society of Silviculture and Forest Ecology (SISEF)
record_format Article
series iForest - Biogeosciences and Forestry
spelling doaj.art-7b4b5161d8e14fadb84b7889b1a098582023-10-28T12:37:56ZengItalian Society of Silviculture and Forest Ecology (SISEF)iForest - Biogeosciences and Forestry1971-74582023-10-0116128228910.3832/ifor4002-0164002Use of unmanned aerial vehicles for the diagnosis of parasitic plant infestation at the crown level in Pinus hartwegiiLeón-Bañuelos LA0Endara-Agramont AR1Nava-Bernal EG2Gómez-Demetrio W3Instituto de Ciencias Agropecuarias y Rurales - ICAR - MéxicoInstituto de Ciencias Agropecuarias y Rurales - ICAR - MéxicoInstituto de Ciencias Agropecuarias y Rurales - ICAR - MéxicoInstituto de Ciencias Agropecuarias y Rurales - ICAR - MéxicoForest degradation has increased in recent years due to biotic, abiotic, and anthropogenic factors. Parasitic plants are some of the main disturbance agents affecting forest resources. In temperate forests, the most frequent pest such as parasitic plants are from the genus Loranthaceae spp. Monitoring parasitic plants through traditional methods requires a large amount of time and human resources. Unmanned aerial vehicles (UAV) as a remote sensing tool have increased in popularity in different regions. UAV were used to assess the degree of infestation of Yellow Dwarf Mistletoe (YDM). In the present study, the presence of Yellow Dwarf Mistletoe (Arceuthobium globosum Hawksw. & Wiens) was identified using two information collection methods to estimate the level of infestation in a Pinus hartwegii Lindl. forest. First, the traditional method (Hawksworth) was used to estimate the degree of infestation per individual tree. Second, a remote sensing method using UAV was used to capture information at the crown level. Then, the Colorimetric Ranges at the Pixel Level (CRPL) method was used in conjunction with the decomposition of pixels with the RGB (Red-Green-Blue) model to define areas with the presence of infestation. The result of the methods was compared by calculating the pixels equivalence percentages identified as infested per level of infestation. The Hawksworth’s method was used by determining three levels: level 0 (healthy) = 0-2% pixels; Level 1 (medium) = 3-5% pixels; and Level 2 (high) ≥ 5% pixels. The methods coincided in detecting a high level of infestation while were biased in detecting healthy trees and low levels of infestation. Nonetheless, the remote sensing method using UAV remains a viable alternative in the monitoring of mistletoe for its capacity to present an overall diagnosis of the level of infestation.https://iforest.sisef.org/contents/?id=ifor4002-016Pattern RecognitionCRPL AlgorithmArceuthobium globosumRemote Sensing
spellingShingle León-Bañuelos LA
Endara-Agramont AR
Nava-Bernal EG
Gómez-Demetrio W
Use of unmanned aerial vehicles for the diagnosis of parasitic plant infestation at the crown level in Pinus hartwegii
iForest - Biogeosciences and Forestry
Pattern Recognition
CRPL Algorithm
Arceuthobium globosum
Remote Sensing
title Use of unmanned aerial vehicles for the diagnosis of parasitic plant infestation at the crown level in Pinus hartwegii
title_full Use of unmanned aerial vehicles for the diagnosis of parasitic plant infestation at the crown level in Pinus hartwegii
title_fullStr Use of unmanned aerial vehicles for the diagnosis of parasitic plant infestation at the crown level in Pinus hartwegii
title_full_unstemmed Use of unmanned aerial vehicles for the diagnosis of parasitic plant infestation at the crown level in Pinus hartwegii
title_short Use of unmanned aerial vehicles for the diagnosis of parasitic plant infestation at the crown level in Pinus hartwegii
title_sort use of unmanned aerial vehicles for the diagnosis of parasitic plant infestation at the crown level in pinus hartwegii
topic Pattern Recognition
CRPL Algorithm
Arceuthobium globosum
Remote Sensing
url https://iforest.sisef.org/contents/?id=ifor4002-016
work_keys_str_mv AT leonbanuelosla useofunmannedaerialvehiclesforthediagnosisofparasiticplantinfestationatthecrownlevelinpinushartwegii
AT endaraagramontar useofunmannedaerialvehiclesforthediagnosisofparasiticplantinfestationatthecrownlevelinpinushartwegii
AT navabernaleg useofunmannedaerialvehiclesforthediagnosisofparasiticplantinfestationatthecrownlevelinpinushartwegii
AT gomezdemetriow useofunmannedaerialvehiclesforthediagnosisofparasiticplantinfestationatthecrownlevelinpinushartwegii