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 | Acceso al texto completo restringido a Biblioteca INIA Tacuarembó. Por información adicional contacte bibliotb@tb.inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha : |
10/12/2020 |
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Actualizado : |
10/12/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
HIRIGOYEN, A.; VARO-MARTINEZ, M.A.; RACHID, C.; FRANCO, J.; NAVARRO-CERRILLO, R.M. |
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Afiliación : |
ANDRES EDUARDO HIRIGOYEN DOMINGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARÍA ANGELES VARO-MARTINEZ, Department of Forestry Engineering, Laboratory of Silviculture, Dendrochronology and Climate Change, DendrodatLab-ERSAF, University of Cordoba, Campus de Rabanales, Córdoba, Spain; ANA CECILIA RACHID CASNATI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JORGE FRANCO, Faculty of Agronomy, University of the Republic, Paysandú, Uruguay; RAFAEL MARÍA NAVARRO-CERRILLO, Department of Forestry Engineering, Laboratory of Silviculture, Dendrochronology and Climate Change, DendrodatLab-ERSAF, University of Cordoba, Campus de Rabanales, Córdoba, Spain. |
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Título : |
Stand characterization of eucalyptus spp. Plantations in uruguay using airborne lidar scanner technology. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Remote Sensing, 1 December 2020, Volume 12, Issue 23, Article number 3947, Pages 1-19. Open Access. Doi: https://doi.org/10.3390/rs12233947 |
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DOI : |
10.3390/rs12233947 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 16 October 2020 / Revised: 5 November 2020 / Accepted: 21 November 2020 / Published: 2 December 2020. Acknowledgments: The authors thank the Instituto Nacional de Investigaciones Agropecuarias (INIA-Uruguay) for supporting our research work and for help during the fieldwork. We are particularly grateful for the support of Roberto Scoz, Demian Gomez, Zenia Barrios and Gustavo Balmelli (INIA), Mariano Blanco, Santiago Heguaburu, Carola Odone and José Carlos de Mello (FOSA). R.M.N.-C. acknowledges the ISOPINE (UCO-1265298) and ESPECTRAMED (CGL2017-86161-R) projects for methodological support. We acknowledge the institutional support of the University of Cordoba-Campus de Excelencia CEIA3. We also thank the ERSAF group and, particularly. Cristina Acosta and Antonio Ariza. for their assistance during this research. We thank David Walker for his revisions of the different versions of this manuscript, and the anonymous referees for their comments and corrections. |
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Contenido : |
Abstract: Airborne lidar scanner (ALS) technology is used in a variety of applications, including forestry. ALS has enormous potential for the estimation of relevant biometric parameters in forest plantations. This study investigates the use of an object-oriented semi-automated segmentation algorithm for stands delineation, based on modeling ALS data, in plantations of Eucalyptus grandis and E. dunnii in Uruguay. The results show that non-parametric methods delivered more accurate and less biased results for total volume (TV) with R2 0.93, RMSE 20.04 m3 h ?1 for E. grandis and R2 0.93, RMSE 18.43 m3 h ?1 for E. dunnii; and above ground biomass (AGB) with R2 0.95, RMSE 70.2 kg h?1 for E. grandis and R2 0.96, RMSE: 71.2 Kg h?1 for E. dunnii. Parametric methods performed better for dominant height (Ho) with R2 0.98, RMSE 0.67 m and R2 : 0.96, RMSE: 0.8 m for E. grandis and E. dunnii, respectively. The most informative ALS metrics for the estimation of AGB and TV were metrics related to the elevation in parametric models (Elev.70 and Elev.75), while for the non-parametric models (k-NN) they were Elev.75 and canopy density. For Ho, the ALS metrics selected were also related to elevation both in the parametric (Elev.90 and Elev.99) and random forest models (Elev.max and Elev.75). The segmentation methodology proposed here matched closely the segments delineated by human operators, and provides a low-cost, cost-effective, easy to apply and update model aimed at generating AGB or TV maps for harvest tasks, based on rasters derived from ALS metrics. The present research shows the capacity of ALS metrics to improve extensive strategic inventories; validating and promoting the adoption of ALS technology for inventory forest stands of Eucalyptus spp. in Uruguay. MenosAbstract: Airborne lidar scanner (ALS) technology is used in a variety of applications, including forestry. ALS has enormous potential for the estimation of relevant biometric parameters in forest plantations. This study investigates the use of an object-oriented semi-automated segmentation algorithm for stands delineation, based on modeling ALS data, in plantations of Eucalyptus grandis and E. dunnii in Uruguay. The results show that non-parametric methods delivered more accurate and less biased results for total volume (TV) with R2 0.93, RMSE 20.04 m3 h ?1 for E. grandis and R2 0.93, RMSE 18.43 m3 h ?1 for E. dunnii; and above ground biomass (AGB) with R2 0.95, RMSE 70.2 kg h?1 for E. grandis and R2 0.96, RMSE: 71.2 Kg h?1 for E. dunnii. Parametric methods performed better for dominant height (Ho) with R2 0.98, RMSE 0.67 m and R2 : 0.96, RMSE: 0.8 m for E. grandis and E. dunnii, respectively. The most informative ALS metrics for the estimation of AGB and TV were metrics related to the elevation in parametric models (Elev.70 and Elev.75), while for the non-parametric models (k-NN) they were Elev.75 and canopy density. For Ho, the ALS metrics selected were also related to elevation both in the parametric (Elev.90 and Elev.99) and random forest models (Elev.max and Elev.75). The segmentation methodology proposed here matched closely the segments delineated by human operators, and provides a low-cost, cost-effective, easy to apply and update model aimed at generating AGB or TV... Presentar Todo |
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Palabras claves : |
ABOVE GROUND BIOMASS; DOMINANT HEIGHT; INTENSIVE SILVICULTURE; PARAMETRIC AND NON-PARAMETRIC METHODS; STAND SEGMENTATION; VOLUME. |
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Asunto categoría : |
K10 Producción forestal |
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Marc : |
LEADER 03675naa a2200265 a 4500
001 1061559
005 2020-12-10
008 2020 bl uuuu u00u1 u #d
024 7 $a10.3390/rs12233947$2DOI
100 1 $aHIRIGOYEN, A.
245 $aStand characterization of eucalyptus spp. Plantations in uruguay using airborne lidar scanner technology.$h[electronic resource]
260 $c2020
500 $aArticle history: Received: 16 October 2020 / Revised: 5 November 2020 / Accepted: 21 November 2020 / Published: 2 December 2020. Acknowledgments: The authors thank the Instituto Nacional de Investigaciones Agropecuarias (INIA-Uruguay) for supporting our research work and for help during the fieldwork. We are particularly grateful for the support of Roberto Scoz, Demian Gomez, Zenia Barrios and Gustavo Balmelli (INIA), Mariano Blanco, Santiago Heguaburu, Carola Odone and José Carlos de Mello (FOSA). R.M.N.-C. acknowledges the ISOPINE (UCO-1265298) and ESPECTRAMED (CGL2017-86161-R) projects for methodological support. We acknowledge the institutional support of the University of Cordoba-Campus de Excelencia CEIA3. We also thank the ERSAF group and, particularly. Cristina Acosta and Antonio Ariza. for their assistance during this research. We thank David Walker for his revisions of the different versions of this manuscript, and the anonymous referees for their comments and corrections.
520 $aAbstract: Airborne lidar scanner (ALS) technology is used in a variety of applications, including forestry. ALS has enormous potential for the estimation of relevant biometric parameters in forest plantations. This study investigates the use of an object-oriented semi-automated segmentation algorithm for stands delineation, based on modeling ALS data, in plantations of Eucalyptus grandis and E. dunnii in Uruguay. The results show that non-parametric methods delivered more accurate and less biased results for total volume (TV) with R2 0.93, RMSE 20.04 m3 h ?1 for E. grandis and R2 0.93, RMSE 18.43 m3 h ?1 for E. dunnii; and above ground biomass (AGB) with R2 0.95, RMSE 70.2 kg h?1 for E. grandis and R2 0.96, RMSE: 71.2 Kg h?1 for E. dunnii. Parametric methods performed better for dominant height (Ho) with R2 0.98, RMSE 0.67 m and R2 : 0.96, RMSE: 0.8 m for E. grandis and E. dunnii, respectively. The most informative ALS metrics for the estimation of AGB and TV were metrics related to the elevation in parametric models (Elev.70 and Elev.75), while for the non-parametric models (k-NN) they were Elev.75 and canopy density. For Ho, the ALS metrics selected were also related to elevation both in the parametric (Elev.90 and Elev.99) and random forest models (Elev.max and Elev.75). The segmentation methodology proposed here matched closely the segments delineated by human operators, and provides a low-cost, cost-effective, easy to apply and update model aimed at generating AGB or TV maps for harvest tasks, based on rasters derived from ALS metrics. The present research shows the capacity of ALS metrics to improve extensive strategic inventories; validating and promoting the adoption of ALS technology for inventory forest stands of Eucalyptus spp. in Uruguay.
653 $aABOVE GROUND BIOMASS
653 $aDOMINANT HEIGHT
653 $aINTENSIVE SILVICULTURE
653 $aPARAMETRIC AND NON-PARAMETRIC METHODS
653 $aSTAND SEGMENTATION
653 $aVOLUME
700 1 $aVARO-MARTINEZ, M.A.
700 1 $aRACHID, C.
700 1 $aFRANCO, J.
700 1 $aNAVARRO-CERRILLO, R.M.
773 $tRemote Sensing, 1 December 2020, Volume 12, Issue 23, Article number 3947, Pages 1-19. Open Access. Doi: https://doi.org/10.3390/rs12233947
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| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
01/03/2019 |
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Actualizado : |
15/01/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
HAMOND, C.; SILVEIRA, C.S.; BURONI, F.; SUANES, A.; NIEVES, C.; SALABERRY, X.; ARÁOZ, V.; COSTA, R.A. DA; RIVERO, R.; GIANNITTI, F.; ZARANTONELLI, L. |
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Afiliación : |
CAMILA HAMOND, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.//Unidad Mixta Pasteur + INIA (UMPI), Institut Pasteur de Montevideo, Uruguay.; CAROLINE DA SILVA SILVEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FLORENCIA BURONI, División Laboratorios Veterinarios Miguel C. Rubino, Laboratorio Regional Noroeste, Ministerio de Ganadería Agricultura y Pesca, Paysandú, Uruguay.; ALEJANDRA SUANES, Departamento de Bacteriología, División Laboratorios Veterinarios Miguel C. Rubino, Sede Central, Ministerio de Ganadería Agricultura y Pesca, Montevideo, Uruguay.; CECILIA NIEVES, Unidad Mixta Pasteur + INIA (UMPI), Institut Pasteur de Montevideo, Uruguay.//Laboratorio de Microbiología Molecular & Estructural, Institut Pasteur de Montevideo, Montevideo, UruguaY.; XIMENA SALABERRY, Departamento de Bacteriología, División Laboratorios Veterinarios Miguel C. Rubino, Sede Central, Ministerio de Ganadería Agricultura y Pesca, Montevideo, Uruguay.; VIRGINIA ARÁOZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RICARDO ALMEIDA DA COSTA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RODOLFO RIVERO, División Laboratorios Veterinarios Miguel C. Rubino, Laboratorio Regional Noroeste, Ministerio de Ganadería Agricultura y Pesca, Paysandú, Uruguay.; FEDERICO GIANNITTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.//6Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN, USA.; Unidad Mixta Pasteur + INIA (UMPI), Institut Pasteur de Montevideo, Montevideo, Uruguay./Laboratorio de Microbiología Molecular & Estructural, Institut Pasteur de Montevideo, Montevideo, Uruguay. |
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Título : |
Leptospira interrogans serogroup Pomona serovar Kennewicki infection in two sheep flocks with acute leptospirosis in Uruguay. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Transboundary and Emerging Diseases ,2019 May, Vol. 66 (3), p. 1186-1194. DOI: https://doi.org/10.1111/tbed.13133 |
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DOI : |
10.1111/tbed.13133 |
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Idioma : |
Inglés |
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Notas : |
Article history: First published: 26 January 2019 /Received: 17 August 2018 / Revised: 18 January 2019 / Accepted: 19 January 2019. |
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Contenido : |
Abstract:Acute leptospirosis is an infrequent disease in sheep that can cause jaundice, haemolysis, haemoglobinuria, hepatitis and nephritis. In most reports the diagnoses have been made by clinical, pathological or serological evidence without isolation or direct identi?cation of the agent. Here, we report one con?rmed and one presumptive outbreak of acute leptospirosis in suckling lambs from two unrelated sheep farms in Uruguay with mortalities of 9/60 (15%) and 9/163 (5.5%) lambs. Both outbreaks occurred in Sep?Oct 2017 after heavy rainfall and ?ooding events. The main gross and histologic pathological ?ndings in two autopsied lambs, one from each farm, included severe di?use jaundice, haemoglobinuria, acute necrotizing hepatitis with cholestasis and interstitial nephritis. Leptospira interrogans serogroup Pomona serovar Kennewicki was isolated from sheep in both ?ocks and the same genotype was identi?ed directly in clinical samples from infected animals, including one of the deceased lambs subjected to autopsy, by ampli?cation and partial sequencing of rrs and secY genes. This serovar has recently been identi?ed in infected cattle and humans in Uruguay . The impact of Leptospira spp. infection in ovine health, and the epidemiologic role of sheep as reservoirs of leptospirosis for humans and animals need further investigation. © 2019 Blackwell Verlag GmbH |
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Palabras claves : |
ACUTE LEPTOSPIROSIS; ENFERMEDADES DE LOS RUMIANTES; MOLECULAR DIAGNOSTICS; MORTALITY; PLATAFORMA DE SALUD ANIMAL; SALUD ANIMAL; SHEEP. |
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Thesagro : |
OVEJA; URUGUAY. |
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Asunto categoría : |
L73 Enfermedades de los animales |
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Marc : |
LEADER 02629naa a2200373 a 4500
001 1059551
005 2020-01-15
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1111/tbed.13133$2DOI
100 1 $aHAMOND, C.
245 $aLeptospira interrogans serogroup Pomona serovar Kennewicki infection in two sheep flocks with acute leptospirosis in Uruguay.$h[electronic resource]
260 $c2019
500 $aArticle history: First published: 26 January 2019 /Received: 17 August 2018 / Revised: 18 January 2019 / Accepted: 19 January 2019.
520 $aAbstract:Acute leptospirosis is an infrequent disease in sheep that can cause jaundice, haemolysis, haemoglobinuria, hepatitis and nephritis. In most reports the diagnoses have been made by clinical, pathological or serological evidence without isolation or direct identi?cation of the agent. Here, we report one con?rmed and one presumptive outbreak of acute leptospirosis in suckling lambs from two unrelated sheep farms in Uruguay with mortalities of 9/60 (15%) and 9/163 (5.5%) lambs. Both outbreaks occurred in Sep?Oct 2017 after heavy rainfall and ?ooding events. The main gross and histologic pathological ?ndings in two autopsied lambs, one from each farm, included severe di?use jaundice, haemoglobinuria, acute necrotizing hepatitis with cholestasis and interstitial nephritis. Leptospira interrogans serogroup Pomona serovar Kennewicki was isolated from sheep in both ?ocks and the same genotype was identi?ed directly in clinical samples from infected animals, including one of the deceased lambs subjected to autopsy, by ampli?cation and partial sequencing of rrs and secY genes. This serovar has recently been identi?ed in infected cattle and humans in Uruguay . The impact of Leptospira spp. infection in ovine health, and the epidemiologic role of sheep as reservoirs of leptospirosis for humans and animals need further investigation. © 2019 Blackwell Verlag GmbH
650 $aOVEJA
650 $aURUGUAY
653 $aACUTE LEPTOSPIROSIS
653 $aENFERMEDADES DE LOS RUMIANTES
653 $aMOLECULAR DIAGNOSTICS
653 $aMORTALITY
653 $aPLATAFORMA DE SALUD ANIMAL
653 $aSALUD ANIMAL
653 $aSHEEP
700 1 $aSILVEIRA, C.S.
700 1 $aBURONI, F.
700 1 $aSUANES, A.
700 1 $aNIEVES, C.
700 1 $aSALABERRY, X.
700 1 $aARÁOZ, V.
700 1 $aCOSTA, R.A. DA
700 1 $aRIVERO, R.
700 1 $aGIANNITTI, F.
700 1 $aZARANTONELLI, L.
773 $tTransboundary and Emerging Diseases ,2019 May, Vol. 66 (3), p. 1186-1194. DOI: https://doi.org/10.1111/tbed.13133
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