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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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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó; INIA Treinta y Tres. |
Fecha actual : |
21/02/2014 |
Actualizado : |
30/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
Autor : |
ALZUGARAY, R.; ÁVILA, S. |
Afiliación : |
MARIA DEL ROSARIO ALZUGARAY DUHALDE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIFLOR STELLA ÁVILA SILVA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Acerca de los cascarudos negros |
Fecha de publicación : |
2006 |
Fuente / Imprenta : |
Revista INIA, 2006, no. 9, p. 21-23 |
ISSN : |
1510-9011 |
Idioma : |
Español |
Notas : |
Los Ing. Agr. Enrique Deambrosi (INIA Treinta y Tres) y Hernán Zorrilla (Asesor privado) aportaron sus observaciones de la zafra 2005-2006. |
Palabras claves : |
CASCARUDOS NEGROS; DAÑOS EN CULTIVOS. |
Thesagro : |
ARROZ; CONTROL; CULTIVOS; DILOBODERUS ABDERUS; EUETHEOLA HUMILIS; INSECTOS; INSECTOS DANINOS; PLAGAS DE PLANTAS; URUGUAY. |
Asunto categoría : |
-- H10 Plagas de las plantas |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/863/1/111219220807170832.pdf
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Marc : |
LEADER 00810naa a2200277 a 4500 001 1013164 005 2019-10-30 008 2006 bl uuuu u00u1 u #d 022 $a1510-9011 100 1 $aALZUGARAY, R. 245 $aAcerca de los cascarudos negros 260 $c2006 500 $aLos Ing. Agr. Enrique Deambrosi (INIA Treinta y Tres) y Hernán Zorrilla (Asesor privado) aportaron sus observaciones de la zafra 2005-2006. 650 $aARROZ 650 $aCONTROL 650 $aCULTIVOS 650 $aDILOBODERUS ABDERUS 650 $aEUETHEOLA HUMILIS 650 $aINSECTOS 650 $aINSECTOS DANINOS 650 $aPLAGAS DE PLANTAS 650 $aURUGUAY 653 $aCASCARUDOS NEGROS 653 $aDAÑOS EN CULTIVOS 700 1 $aÁVILA, S. 773 $tRevista INIA, 2006, no. 9, p. 21-23
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