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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
09/06/2023 |
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Actualizado : |
09/06/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
RIZZO-MARTÍN, I.; HIRIGOYEN, A.; ARTHUS-BACOVICH, R.; VARO-MARTÍNEZ, M.A.; NAVARRO-CERRILLO, R. |
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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. |
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Título : |
Site index estimation using airborne laser scanner data in Eucalyptus dunnii Maide stands in Uruguay. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Forests, 2023, Volume 14, Issue 5, article 933. https://doi.org/10.3390/f14050933 -- OPEN ACCESS. |
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ISSN : |
1999-4907 (electronic). |
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DOI : |
10.3390/f14050933 |
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Idioma : |
Inglés |
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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/). |
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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 |
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Palabras claves : |
Eucaliptus spp; LiDAR; Orpheo ToolBox (OTB); Precision silvicultural; Random forest; Site Index; Stand segmentation. |
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Asunto categoría : |
K01 Ciencias forestales - Aspectos generales |
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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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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
05/07/2021 |
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Actualizado : |
05/07/2021 |
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Tipo de producción científica : |
Artículos Indexados |
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Autor : |
REBUFFO, M.; BEMHAJA, M.; RISSO, D. |
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Afiliación : |
MONICA IRENE REBUFFO GFELLER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA DE LURDES BEMHAJA SARAIVA FERREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DIEGO FERNANDO RISSO RIET, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Utilization of forage legumes in pastoral systems: state of art in Uruguay. |
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Fecha de publicación : |
2006 |
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Fuente / Imprenta : |
Lotus Newsletter, 2006, Volume 36, Issue 1, pages 22-33. |
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ISSN : |
1510-7809 |
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Idioma : |
Inglés |
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Contenido : |
Introduction:
Improved pastures, integrated by forage legumes, are the primary base of agriculture and cattle rearing in Uruguay. The growing demand for cattle products requires higher cattle productivity, which is at the present time limited by the yield and quality of the natural
pastures, mainly based in summer grasses. Perennial sown pastures in Uruguay have had a slow but sustained increment in area in the last five decades, from 17.000 has in 1950 to 1.287.000 has in 2003, representing 7% of total pastoral area (DIEA, 2004). In spite of
agricultural policies that promoted the sowing of introduced legumes in the sixties, natural grasslands over sown with legumes represents 5% of the total area at the present time (0,7 million has; DIEA, 2004). Diverse factors have influence on the slow adoption of sown
pastures, among others the cost of establishment, the uncertainty of the physical result due to poor persistence of the introduced legumes, establishment difficulties, the need of careful defoliation management that require some legumes that produce bloat. |
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Palabras claves : |
GRASSLANDS; LEGUMES; SISTEMAS PASTORILES. |
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Thesagro : |
LEGUMINOSAS FORRAJERAS. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15780/1/Lotus-Newsletter-v.36.2006.p.22-33-Rebuffo.pdf
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Marc : |
LEADER 01660naa a2200205 a 4500
001 1062258
005 2021-07-05
008 2006 bl uuuu u00u1 u #d
022 $a1510-7809
100 1 $aREBUFFO, M.
245 $aUtilization of forage legumes in pastoral systems$bstate of art in Uruguay.$h[electronic resource]
260 $c2006
520 $aIntroduction: Improved pastures, integrated by forage legumes, are the primary base of agriculture and cattle rearing in Uruguay. The growing demand for cattle products requires higher cattle productivity, which is at the present time limited by the yield and quality of the natural pastures, mainly based in summer grasses. Perennial sown pastures in Uruguay have had a slow but sustained increment in area in the last five decades, from 17.000 has in 1950 to 1.287.000 has in 2003, representing 7% of total pastoral area (DIEA, 2004). In spite of agricultural policies that promoted the sowing of introduced legumes in the sixties, natural grasslands over sown with legumes represents 5% of the total area at the present time (0,7 million has; DIEA, 2004). Diverse factors have influence on the slow adoption of sown pastures, among others the cost of establishment, the uncertainty of the physical result due to poor persistence of the introduced legumes, establishment difficulties, the need of careful defoliation management that require some legumes that produce bloat.
650 $aLEGUMINOSAS FORRAJERAS
653 $aGRASSLANDS
653 $aLEGUMES
653 $aSISTEMAS PASTORILES
700 1 $aBEMHAJA, M.
700 1 $aRISSO, D.
773 $tLotus Newsletter, 2006, Volume 36, Issue 1, pages 22-33.
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INIA La Estanzuela (LE) |
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