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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
09/06/2023 |
Actualizado : |
09/06/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
RIZZO-MARTÍN, I.; HIRIGOYEN, A.; ARTHUS-BACOVICH, R.; VARO-MARTÍNEZ, M.A.; NAVARRO-CERRILLO, R. |
Afiliación : |
IVÁN RIZZO-MARTÍN, Department of Forest Production and Wood Technology, Faculty of Agronomy, University of the Republic, Montevideo 12900, Uruguay; ANDRES EDUARDO HIRIGOYEN DOMINGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RODRIGO ARTHUS-BACOVICH, Observatory of Global Change of the Mediterranean Forest, Department of Forest Engineering, University of Córdoba, E-14071 Córdoba, Spain; MARÍA ÁNGELES VARO-MARTÍNEZ, Department of Forestry Engineering, Laboratory of Silviculture, Dendrochronology and Climate Change, DendrodatLab-ERSAF, University of Cordoba, Campus de Rabanales, Crta. IV, km. 396, E-14071 Córdoba, Spain; RAFAEL NAVARRO-CERRILLO, Department of Forestry Engineering, Laboratory of Silviculture, Dendrochronology and Climate Change, DendrodatLab-ERSAF, University of Cordoba, Campus de Rabanales, Crta. IV, km. 396, E-14071 Córdoba, Spain. |
Título : |
Site index estimation using airborne laser scanner data in Eucalyptus dunnii Maide stands in Uruguay. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
Forests, 2023, Volume 14, Issue 5, article 933. https://doi.org/10.3390/f14050933 -- OPEN ACCESS. |
ISSN : |
1999-4907 (electronic). |
DOI : |
10.3390/f14050933 |
Idioma : |
Inglés |
Notas : |
Article history: Received 16 March 2023; Revised 23 April 2023; Accepted 27 April 2023; Published 1 May 2023. -- Correspondence: Rizzo-Martín, I.; Department of Forest Production and Wood Technology, Faculty of Agronomy, University of the Republic, Montevideo, Uruguay; email:ivan-rizzo@hotmail.com -- Funding: This research was funded by SILVADAPT.NET (RED2018-102719-T), EVIDENCE (Ref: 2822/2021) and REMEDIO (PID2021-128463OB-I00). -- This article belongs to the Special Issue Application of Laser Scanning and Satellite Image in Forest Mensuration (https://www.mdpi.com/journal/forests/special_issues/Application_Mensuration ). -- License: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Contenido : |
Intensive silviculture demands new inventory tools for better forest management and planning. Airborne laser scanning (ALS) was shown to be one of the best alternatives for high-precision inventories applied to productive plantations. The aim of this study was to generate multiple stand-scale maps of the site index (SI) using ALS data in the intensive silviculture of Eucalyptus dunnii Maide plantations in Uruguay. Forty-three plots (314.16 m3) were established in intensive E. dunnii plantations in the departments of Río Negro and Paysandú (Uruguay). ALS data were obtained for an area of 1995 ha. Linear and Random Forest models were fitted to estimate the height and site index, and OrpheoToolBox (OTB) software was used for stand segmentation. Linear models for dominant height (DH) estimation had a better fit (R2 = 0.84, RMSE = 0.94 m, MAPE = 0.04, Bias = 0.002) than the Random Forest (R2 = 0.85, RMSE = 1.27 m, MAPE = 7.20, Bias=-0.173) model when including only the 99th percentile metric. The coefficient between RMSE values of the cross-validation and RMSE of the model had a higher value for the linear model (0.93) than the Random Forest (0.75). The SI was estimated by applying the RF model, which included the ALS metrics corresponding to the 99th height percentile and the 80th height bicentile (R2 = 0.65; RMSE = 1.62 m). OTB segmentation made it possible to define a minimum segment size of 2.03 ha (spatial radius = 30, range radius = 1 and minimum region size = 64). This study provides a new tool for better forest management and promotes the need for further progress in the application of ALS data in the intensive silviculture of Eucalyptus spp. plantations in Uruguay. © 2023 by the authors. Licensee MDPI, Basel, Switzerland. MenosIntensive silviculture demands new inventory tools for better forest management and planning. Airborne laser scanning (ALS) was shown to be one of the best alternatives for high-precision inventories applied to productive plantations. The aim of this study was to generate multiple stand-scale maps of the site index (SI) using ALS data in the intensive silviculture of Eucalyptus dunnii Maide plantations in Uruguay. Forty-three plots (314.16 m3) were established in intensive E. dunnii plantations in the departments of Río Negro and Paysandú (Uruguay). ALS data were obtained for an area of 1995 ha. Linear and Random Forest models were fitted to estimate the height and site index, and OrpheoToolBox (OTB) software was used for stand segmentation. Linear models for dominant height (DH) estimation had a better fit (R2 = 0.84, RMSE = 0.94 m, MAPE = 0.04, Bias = 0.002) than the Random Forest (R2 = 0.85, RMSE = 1.27 m, MAPE = 7.20, Bias=-0.173) model when including only the 99th percentile metric. The coefficient between RMSE values of the cross-validation and RMSE of the model had a higher value for the linear model (0.93) than the Random Forest (0.75). The SI was estimated by applying the RF model, which included the ALS metrics corresponding to the 99th height percentile and the 80th height bicentile (R2 = 0.65; RMSE = 1.62 m). OTB segmentation made it possible to define a minimum segment size of 2.03 ha (spatial radius = 30, range radius = 1 and minimum region size = 64). This stu... Presentar Todo |
Palabras claves : |
Eucaliptus spp; LiDAR; Orpheo ToolBox (OTB); Precision silvicultural; Random forest; Site Index; Stand segmentation. |
Asunto categoría : |
K01 Ciencias forestales - Aspectos generales |
URL : |
https://www.mdpi.com/1999-4907/14/5/933/pdf
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Marc : |
LEADER 03491naa a2200289 a 4500 001 1064185 005 2023-06-09 008 2023 bl uuuu u00u1 u #d 022 $a1999-4907 (electronic). 024 7 $a10.3390/f14050933$2DOI 100 1 $aRIZZO-MARTÍN, I. 245 $aSite index estimation using airborne laser scanner data in Eucalyptus dunnii Maide stands in Uruguay.$h[electronic resource] 260 $c2023 500 $aArticle history: Received 16 March 2023; Revised 23 April 2023; Accepted 27 April 2023; Published 1 May 2023. -- Correspondence: Rizzo-Martín, I.; Department of Forest Production and Wood Technology, Faculty of Agronomy, University of the Republic, Montevideo, Uruguay; email:ivan-rizzo@hotmail.com -- Funding: This research was funded by SILVADAPT.NET (RED2018-102719-T), EVIDENCE (Ref: 2822/2021) and REMEDIO (PID2021-128463OB-I00). -- This article belongs to the Special Issue Application of Laser Scanning and Satellite Image in Forest Mensuration (https://www.mdpi.com/journal/forests/special_issues/Application_Mensuration ). -- License: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 520 $aIntensive silviculture demands new inventory tools for better forest management and planning. Airborne laser scanning (ALS) was shown to be one of the best alternatives for high-precision inventories applied to productive plantations. The aim of this study was to generate multiple stand-scale maps of the site index (SI) using ALS data in the intensive silviculture of Eucalyptus dunnii Maide plantations in Uruguay. Forty-three plots (314.16 m3) were established in intensive E. dunnii plantations in the departments of Río Negro and Paysandú (Uruguay). ALS data were obtained for an area of 1995 ha. Linear and Random Forest models were fitted to estimate the height and site index, and OrpheoToolBox (OTB) software was used for stand segmentation. Linear models for dominant height (DH) estimation had a better fit (R2 = 0.84, RMSE = 0.94 m, MAPE = 0.04, Bias = 0.002) than the Random Forest (R2 = 0.85, RMSE = 1.27 m, MAPE = 7.20, Bias=-0.173) model when including only the 99th percentile metric. The coefficient between RMSE values of the cross-validation and RMSE of the model had a higher value for the linear model (0.93) than the Random Forest (0.75). The SI was estimated by applying the RF model, which included the ALS metrics corresponding to the 99th height percentile and the 80th height bicentile (R2 = 0.65; RMSE = 1.62 m). OTB segmentation made it possible to define a minimum segment size of 2.03 ha (spatial radius = 30, range radius = 1 and minimum region size = 64). This study provides a new tool for better forest management and promotes the need for further progress in the application of ALS data in the intensive silviculture of Eucalyptus spp. plantations in Uruguay. © 2023 by the authors. Licensee MDPI, Basel, Switzerland. 653 $aEucaliptus spp 653 $aLiDAR 653 $aOrpheo ToolBox (OTB) 653 $aPrecision silvicultural 653 $aRandom forest 653 $aSite Index 653 $aStand segmentation 700 1 $aHIRIGOYEN, A. 700 1 $aARTHUS-BACOVICH, R. 700 1 $aVARO-MARTÍNEZ, M.A. 700 1 $aNAVARRO-CERRILLO, R. 773 $tForests, 2023, Volume 14, Issue 5, article 933. https://doi.org/10.3390/f14050933 -- OPEN ACCESS.
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Registros recuperados : 45 | |
41. | | RESQUÍN, F.; RACHID, C.; HIRIGOYEN, A.; DOLDÁN, J.; LOPRETTI, M.; BONIFACINO, S.; BUXEDAS, L.; VÁZQUEZ, S.; SAPOLINSKI, A.; GONZÁLEZ, M.; CARRASCO-LETELIER, L.; CAPDEVIELLE, F. Producción de biomasa y etanol a partir de Eucalyptus en plantaciones de alta densidad. Revista INIA Uruguay, 2015, n. 41, p. 35-38 (Revista INIA; 41)Tipo: Artículos en Revistas Agropecuarias |
Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó. |
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42. | | CAZZULI, F.; DURANTE, M.; HIRIGOYEN, A.; SÁNCHEZ, J.; ROVIRA, P.J.; BERETTA, V.; SIMEONE, A.; JAURENA, M.; SAVIAN, J.V.; POPPI, D.; MONTOSSI, F.; LAGOMARSINO, X.; LUZARDO, S.; BRITO, G.; VELAZCO, J.I.; LATTANZI, F.; BREMM, C. Beef cattle grazing native grasslands may follow three different supplement response patterns. Grasses. 2023, Volume 2, Issue 3, pages 168-184. https://doi.org/10.3390/grasses2030014 --- OPEN ACCESS. Article history: Received 3 May 2023; Revised 1 July 2023; Accepted 13 July 2023; Published 7 August 2023. -- Academic Editor: Fabio Gresta. -- FUNDING: This research was funded by INIA Uruguay. -- LICENSE: This article is an open access...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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43. | | CAZZULI, F.; DURANTE, M.; HIRIGOYEN, A.; SÁNCHEZ, J.; ROVIRA, P.J.; BERETTA, V.; SIMEONE, A.; JAURENA, M.; SAVIAN, J.V.; POPPI, D.; MONTOSSI, F.; LAGOMARSINO, X.; LUZARDO, S.; BRITO, G.; VELAZCO, J.I.; LATTANZI, F.; BREMM, C. Dinámica de la respuesta a la suplementación invernal de bovinos en crecimiento sobre campo natural. Producción animal. Revista INIA Uruguay, Diciembre 2023, no.75 p.12-16. (Revista INIA; 75). *Grados.día: es una forma de estimar la temperatura acumulada, como la sumatoria de la diferencia entre la temperatura promedio de cada día y una
temperatura llamada "base", que en el caso de este estudio fue 0 °C. El día inicial de la...Tipo: Artículos en Revistas Agropecuarias |
Biblioteca(s): INIA Las Brujas. |
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44. | | CAZZULI, F.; SÁNCHEZ, J.; HIRIGOYEN, A.; ROVIRA, P.J.; BERETTA, V.; SIMEONE, A.; JAURENA, M.; DURANTE, M.; SAVIAN, J.V.; POPPI, D.; MONTOSSI, F.; LAGOMARSINO, X.; LUZARDO, S.; BRITO, G.; VELAZCO, J.I.; BREMM, C.; LATTANZI, F. Eficiencia de uso de suplementos energético-proteicos en vacunos en invierno sobre campo natural: análisis de casi 30 años de ensayos nacionales. Producción Animal. Revista INIA Uruguay, Marzo 2022, no.68, p.19-22. (Revista INIA; 68).Tipo: Artículos en Revistas Agropecuarias |
Biblioteca(s): INIA Las Brujas. |
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45. | | CAZZULI, F.; SÁNCHEZ, J.; HIRIGOYEN, A.; ROVIRA, P.J.; BERETTA, V.; SIMEONE, A.; JAURENA, M.; DURANTE, M.; SAVIAN, J.V.; POPPI, D.; MONTOSSI, F.; LAGOMARSINO, X.; LUZARDO, S.; BRITO, G.; VELAZCO, J.I.; BREMM, C.; LATTANZI, F. Supplement feed efficiency of growing beef cattle grazing native Campos grasslands during winter: a collated analysis. Translational Animal Science. 2023, Volume 7, Issue 1, txad028. https://doi.org/10.1093/tas/txad028 -- OPEN ACCESS Article history: Received 03 October 2022; Accepted 09 March 2023; Published 10 March 2023; Corrected and typeset 01 April 2023. -- Corresponding author: fcazzuli@inia.org.uy -- Issue Section: Forage Based Livestock Systems. -- License:...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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