Estimation of aboveground biomass and carbon sequestration in a cocoa agroforestry system using UAV-LiDAR in northwestern Peru

Accurate estimation of biomass and carbon in agroforestry systems is essential to assess their contribution to climate change mitigation and to improve their management. In this context, UAV-mounted LiDAR technology emerges as a fast, accurate, and non-destructive alternative for the structural char...

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Autores principales: Atalaya Marin, Nilton, Sanchez Fuentes, Teiser, Goñas Goñas, Malluri, Tineo Flores, Daniel, Taboada Mitma, Víctor Hugo, Cabrera Hoyos, Héctor Antonio, Cruz Luis, Juancarlos Alejandro, Ganoza Roncal, Jorge Juan, Gómez Fernández, Darwin
Formato: info:eu-repo/semantics/article
Lenguaje:Inglés
Publicado: Elsevier B.V. 2025
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Acceso en línea:http://hdl.handle.net/20.500.12955/2947
https://doi.org/10.1016/j.rsase.2025.101750
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author Atalaya Marin, Nilton
Sanchez Fuentes, Teiser
Goñas Goñas, Malluri
Tineo Flores, Daniel
Taboada Mitma, Víctor Hugo
Cabrera Hoyos, Héctor Antonio
Cruz Luis, Juancarlos Alejandro
Ganoza Roncal, Jorge Juan
Gómez Fernández, Darwin
author_browse Atalaya Marin, Nilton
Cabrera Hoyos, Héctor Antonio
Cruz Luis, Juancarlos Alejandro
Ganoza Roncal, Jorge Juan
Goñas Goñas, Malluri
Gómez Fernández, Darwin
Sanchez Fuentes, Teiser
Taboada Mitma, Víctor Hugo
Tineo Flores, Daniel
author_facet Atalaya Marin, Nilton
Sanchez Fuentes, Teiser
Goñas Goñas, Malluri
Tineo Flores, Daniel
Taboada Mitma, Víctor Hugo
Cabrera Hoyos, Héctor Antonio
Cruz Luis, Juancarlos Alejandro
Ganoza Roncal, Jorge Juan
Gómez Fernández, Darwin
author_sort Atalaya Marin, Nilton
collection Repositorio INIA
description Accurate estimation of biomass and carbon in agroforestry systems is essential to assess their contribution to climate change mitigation and to improve their management. In this context, UAV-mounted LiDAR technology emerges as a fast, accurate, and non-destructive alternative for the structural characterization of cocoa agroforestry systems. This study aimed to estimate and analyze structural parameters, mainly tree height and diameter at breast height (DBH), as well as to calculate aboveground biomass and carbon sequestration in a cocoa agroforestry system, using LiDAR data obtained with a DJI Matrice 350 RTK UAV equipped with a Zenmuse L2 sensor, complemented by automatic tree segmentation in LiDAR360 and the application of species-specific allometric equations. The results showed a 93 % segmentation efficiency, with accuracies of 0.93 and 0.99 for DBH and height estimations, respectively. The evaluated plot, located at the Yanayacu Experimental Center (Jaén, Peru) and covering an area of 0.58 ha, had stored 15,492.5 kg of aboveground biomass and 7746.25 kg of aboveground carbon, with Mangifera indica and Cocos nucifera contributing more than 80 %. Consequently, this approach demonstrates the potential of UAV-based LiDAR to generate accurate and detailed information on system structure, enabling optimized management of high-biomass species and the development of more efficient and sustainable management strategies.
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spelling INIA29472025-12-03T16:31:32Z Estimation of aboveground biomass and carbon sequestration in a cocoa agroforestry system using UAV-LiDAR in northwestern Peru Atalaya Marin, Nilton Sanchez Fuentes, Teiser Goñas Goñas, Malluri Tineo Flores, Daniel Taboada Mitma, Víctor Hugo Cabrera Hoyos, Héctor Antonio Cruz Luis, Juancarlos Alejandro Ganoza Roncal, Jorge Juan Gómez Fernández, Darwin Agroforestry systems Climate mitigation Theobroma cacao L. Tree segmentation Remote sensing UAV-LiDAR Biomass estimation Carbon sequestration Peru Sistemas agroforestales Mitigación climática Segmentación de árboles Teledetección Estimación de biomasa Secuestro de carbono Perú. https://purl.org/pe-repo/ocde/ford#4.01.00 Mitigación del cambio climático; climate change mitigation; Vehículo aéreo no tripulado; unmanned aerial vehicles Accurate estimation of biomass and carbon in agroforestry systems is essential to assess their contribution to climate change mitigation and to improve their management. In this context, UAV-mounted LiDAR technology emerges as a fast, accurate, and non-destructive alternative for the structural characterization of cocoa agroforestry systems. This study aimed to estimate and analyze structural parameters, mainly tree height and diameter at breast height (DBH), as well as to calculate aboveground biomass and carbon sequestration in a cocoa agroforestry system, using LiDAR data obtained with a DJI Matrice 350 RTK UAV equipped with a Zenmuse L2 sensor, complemented by automatic tree segmentation in LiDAR360 and the application of species-specific allometric equations. The results showed a 93 % segmentation efficiency, with accuracies of 0.93 and 0.99 for DBH and height estimations, respectively. The evaluated plot, located at the Yanayacu Experimental Center (Jaén, Peru) and covering an area of 0.58 ha, had stored 15,492.5 kg of aboveground biomass and 7746.25 kg of aboveground carbon, with Mangifera indica and Cocos nucifera contributing more than 80 %. Consequently, this approach demonstrates the potential of UAV-based LiDAR to generate accurate and detailed information on system structure, enabling optimized management of high-biomass species and the development of more efficient and sustainable management strategies. This research was funded by the Instituto Nacional de Innovación Agraria (INIA) through an Investment Project with CUI No. 2472675 entitled: "Mejoramiento de los servicios de investigación y transferencia de tecnología agraria en la estación agraria experimental Baños del Inca en la localidad de Baños del Inca del distrito de Baños del Inca - provincia de Cajamarca - departamento de Cajamarca". 2025-12-01T19:51:02Z 2025-12-01T19:51:02Z 2025-10-08 info:eu-repo/semantics/article Atalaya, N., Sanchez, T., Goñas, M., Tineo, D., Taboada, V. H., Cabrera, H., Cruz, J., Ganoza, J. J., & Gómez, D. (2025). Estimation of aboveground biomass and carbon sequestration in a cocoa agroforestry system using UAV-LiDAR in northwestern Peru. Remote Sensing Applications: Society and Environment, 40, 101750. https://doi.org/10.1016/j.rsase.2025.101750 2352-9385 http://hdl.handle.net/20.500.12955/2947 https://doi.org/10.1016/j.rsase.2025.101750 eng urn:issn:2352-9385 Remote Sensing Applications: Society and Environment info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/nc/4.0/ application/pdf application/pdf Elsevier B.V. NL Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA
spellingShingle Agroforestry systems
Climate mitigation
Theobroma cacao L.
Tree segmentation
Remote sensing
UAV-LiDAR
Biomass estimation
Carbon sequestration
Peru
Sistemas agroforestales
Mitigación climática
Segmentación de árboles
Teledetección
Estimación de biomasa
Secuestro de carbono
Perú.
https://purl.org/pe-repo/ocde/ford#4.01.00
Mitigación del cambio climático; climate change mitigation; Vehículo aéreo no tripulado; unmanned aerial vehicles
Atalaya Marin, Nilton
Sanchez Fuentes, Teiser
Goñas Goñas, Malluri
Tineo Flores, Daniel
Taboada Mitma, Víctor Hugo
Cabrera Hoyos, Héctor Antonio
Cruz Luis, Juancarlos Alejandro
Ganoza Roncal, Jorge Juan
Gómez Fernández, Darwin
Estimation of aboveground biomass and carbon sequestration in a cocoa agroforestry system using UAV-LiDAR in northwestern Peru
title Estimation of aboveground biomass and carbon sequestration in a cocoa agroforestry system using UAV-LiDAR in northwestern Peru
title_full Estimation of aboveground biomass and carbon sequestration in a cocoa agroforestry system using UAV-LiDAR in northwestern Peru
title_fullStr Estimation of aboveground biomass and carbon sequestration in a cocoa agroforestry system using UAV-LiDAR in northwestern Peru
title_full_unstemmed Estimation of aboveground biomass and carbon sequestration in a cocoa agroforestry system using UAV-LiDAR in northwestern Peru
title_short Estimation of aboveground biomass and carbon sequestration in a cocoa agroforestry system using UAV-LiDAR in northwestern Peru
title_sort estimation of aboveground biomass and carbon sequestration in a cocoa agroforestry system using uav lidar in northwestern peru
topic Agroforestry systems
Climate mitigation
Theobroma cacao L.
Tree segmentation
Remote sensing
UAV-LiDAR
Biomass estimation
Carbon sequestration
Peru
Sistemas agroforestales
Mitigación climática
Segmentación de árboles
Teledetección
Estimación de biomasa
Secuestro de carbono
Perú.
https://purl.org/pe-repo/ocde/ford#4.01.00
Mitigación del cambio climático; climate change mitigation; Vehículo aéreo no tripulado; unmanned aerial vehicles
url http://hdl.handle.net/20.500.12955/2947
https://doi.org/10.1016/j.rsase.2025.101750
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