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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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INIA Tacuarembó (TBO) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas. |
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Fecha actual : |
05/10/2015 |
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Actualizado : |
15/03/2021 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
OTERO, A.; BERGER, A.; MORALES, X.; CALISTRO, R. |
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Afiliación : |
ALVARO RICARDO OTERO CAMA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRES GUSTAVO BERGER RICCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA XIMENA MORALES LORENZONI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RICARDO ARIEL CALISTRO DIAZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Eddy covariance estimates of evapotranspiration in irrigated and rainfed soybean in Uruguay: abstract. |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Agrociencia Uruguay, 2015, v.19, Special Issue, Congreso CIGR. 3r. Inter-Regional CIGR Conference on Land and Water Challenges: Tools for developing "Dr. Mario García Petillo", p.8 |
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ISSN : |
1510-0839 |
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Idioma : |
Inglés |
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Notas : |
EDITORIAL BOARD SPECIAL ISSUE: García, C. (Instituto Nacional de Investigación Agropecuaria); Puppo, L. (Universidad de la República, Facultad de Agronomía); Tarjuelo, J.M. (Univ. Castilla-La Mancha, España); Carsjens, G-.J. (Univ.Wageningen, Holanda). |
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Contenido : |
Estimating total crop water use and the associated variability are critical for planning, for the design of supplementary irrigation
strategies and for subsequent management. Tough there have been great advances in estimating actual evapotranspiration,
achieving accurate estimates at the field level is still a challenge. The characterization of site specific characteristics influencing
evapotranspiration like soil properties impose a great challenge to the use of modeling, and the accurate characterization of the
variability within a field of crop status may bias estimates. Using remote sensing to estimate crop status and energy balance at
a fine scale overcome some of these issues. Nevertheless there is a need to have accurate and precise measurements of
evapotranspiration that can serve as validation sites. The eddy covariance method provides the accuracy and footprint
necessary to be used as a reference. Two towers were installed between 2010 and 2015 at two contrasting locations each year
in the south-west of Uruguay at agricultural fields with wheat-soybean crop rotation. The sites were maintained at the same
location during wheat and soybean. Sites were managed with supplementary irrigation at full demand or without irrigation. Each
tower had instruments to measure in parallel the energy balance (radiometers, flux plates and soil temperature probes), and
evapotranspiration directly from eddy covariance (sonic anemometer, IRGA). All locations met fetch requirements, were
representative of agricultural fields and were situated in an area dominated by agricultural land. Season long totals showed large
variability depending on crop status and seasonal precipitation regime that determined crop growth and leaf area development.
Totals for irrigated fields in the north (Salto, 650-800mm) were higher than in the south (Colonia-Soriano, 600-750), and higher
than standard requirements for the region. This study provides reference values for a significant number of growing conditions
and years for irrigated or rain-fed soybean crops. MenosEstimating total crop water use and the associated variability are critical for planning, for the design of supplementary irrigation
strategies and for subsequent management. Tough there have been great advances in estimating actual evapotranspiration,
achieving accurate estimates at the field level is still a challenge. The characterization of site specific characteristics influencing
evapotranspiration like soil properties impose a great challenge to the use of modeling, and the accurate characterization of the
variability within a field of crop status may bias estimates. Using remote sensing to estimate crop status and energy balance at
a fine scale overcome some of these issues. Nevertheless there is a need to have accurate and precise measurements of
evapotranspiration that can serve as validation sites. The eddy covariance method provides the accuracy and footprint
necessary to be used as a reference. Two towers were installed between 2010 and 2015 at two contrasting locations each year
in the south-west of Uruguay at agricultural fields with wheat-soybean crop rotation. The sites were maintained at the same
location during wheat and soybean. Sites were managed with supplementary irrigation at full demand or without irrigation. Each
tower had instruments to measure in parallel the energy balance (radiometers, flux plates and soil temperature probes), and
evapotranspiration directly from eddy covariance (sonic anemometer, IRGA). All locations met fetch requirements, wer... Presentar Todo |
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Palabras claves : |
COVARIANZA DE TORBELLINOS; COVARIANZA EDDY; COVARIANZA TURBULENTA; CULTIVO DE SECANO; CULTIVO IRRIGADO; ETA; EVAPOTRANSPIRACIÓN ACTUAL; MEDICIÓN DE COVARIANZA; MEDIDA DE COVARIANZA. |
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Thesagro : |
EDDY COVARIANCE; EFICACIA EN EL USO DEL AGUA; ETA; GLYCINE MAX; SOJA; SOYBEAN; WATER USE EFFICIENCY. |
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Asunto categoría : |
F60 Fisiología y bioquímica de la planta
P30 Ciencia del suelo y manejo del suelo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5046/1/Agrociencia-Congreso-CIGR2015-v.19.si.p.8-OTERO.pdf
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Marc : |
LEADER 03476naa a2200373 a 4500
001 1053490
005 2021-03-15
008 2015 bl uuuu u00u1 u #d
022 $a1510-0839
100 1 $aOTERO, A.
245 $aEddy covariance estimates of evapotranspiration in irrigated and rainfed soybean in Uruguay$babstract.
260 $c2015
500 $aEDITORIAL BOARD SPECIAL ISSUE: García, C. (Instituto Nacional de Investigación Agropecuaria); Puppo, L. (Universidad de la República, Facultad de Agronomía); Tarjuelo, J.M. (Univ. Castilla-La Mancha, España); Carsjens, G-.J. (Univ.Wageningen, Holanda).
520 $aEstimating total crop water use and the associated variability are critical for planning, for the design of supplementary irrigation strategies and for subsequent management. Tough there have been great advances in estimating actual evapotranspiration, achieving accurate estimates at the field level is still a challenge. The characterization of site specific characteristics influencing evapotranspiration like soil properties impose a great challenge to the use of modeling, and the accurate characterization of the variability within a field of crop status may bias estimates. Using remote sensing to estimate crop status and energy balance at a fine scale overcome some of these issues. Nevertheless there is a need to have accurate and precise measurements of evapotranspiration that can serve as validation sites. The eddy covariance method provides the accuracy and footprint necessary to be used as a reference. Two towers were installed between 2010 and 2015 at two contrasting locations each year in the south-west of Uruguay at agricultural fields with wheat-soybean crop rotation. The sites were maintained at the same location during wheat and soybean. Sites were managed with supplementary irrigation at full demand or without irrigation. Each tower had instruments to measure in parallel the energy balance (radiometers, flux plates and soil temperature probes), and evapotranspiration directly from eddy covariance (sonic anemometer, IRGA). All locations met fetch requirements, were representative of agricultural fields and were situated in an area dominated by agricultural land. Season long totals showed large variability depending on crop status and seasonal precipitation regime that determined crop growth and leaf area development. Totals for irrigated fields in the north (Salto, 650-800mm) were higher than in the south (Colonia-Soriano, 600-750), and higher than standard requirements for the region. This study provides reference values for a significant number of growing conditions and years for irrigated or rain-fed soybean crops.
650 $aEDDY COVARIANCE
650 $aEFICACIA EN EL USO DEL AGUA
650 $aETA
650 $aGLYCINE MAX
650 $aSOJA
650 $aSOYBEAN
650 $aWATER USE EFFICIENCY
653 $aCOVARIANZA DE TORBELLINOS
653 $aCOVARIANZA EDDY
653 $aCOVARIANZA TURBULENTA
653 $aCULTIVO DE SECANO
653 $aCULTIVO IRRIGADO
653 $aETA
653 $aEVAPOTRANSPIRACIÓN ACTUAL
653 $aMEDICIÓN DE COVARIANZA
653 $aMEDIDA DE COVARIANZA
700 1 $aBERGER, A.
700 1 $aMORALES, X.
700 1 $aCALISTRO, R.
773 $tAgrociencia Uruguay, 2015$gv.19, Special Issue, Congreso CIGR. 3r. Inter-Regional CIGR Conference on Land and Water Challenges: Tools for developing "Dr. Mario García Petillo", p.8
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