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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
27/06/2019 |
Actualizado : |
05/07/2022 |
Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
Autor : |
AREOSA, P.; BONE, G.; GRAU, M.; RODRÍGUEZ, N.; MOLINA, C.; HEGEDUS, P. DE; ÁLVAREZ, J.; SCARPITTA, N.; BARBAT, R.; COPPOLA, B.; BARRETO, S.; LLOVET, P.; AYALA, W.; LAPETINA, J. |
Afiliación : |
PABLO AREOSA, Departamento de Ciencias Sociales de Facultad de Agronomía (UDELAR).; GUAYMIRÁN BONE, Departamento de Ciencias Sociales de Facultad de Agronomía (UDELAR).; MARTÍN GRAU, Departamento de Ciencias Sociales de Facultad de Agronomía (UDELAR).; NORBERTO RODRÍGUEZ, Departamento de Ciencias Sociales de Facultad de Agronomía (UDELAR).; CARLOS MOLINA, Departamento de Ciencias Sociales de Facultad de Agronomía (UDELAR).; PEDRO DE HEGEDUS, Departamento de Ciencias Sociales de Facultad de Agronomía (UDELAR).; JORGE ÁLVAREZ, Departamento de Ciencias Sociales de Facultad de Agronomía (UDELAR).; NICOLÁS SCARPITTA, Instituto Plan Agropecuario.; RICARDO BARBAT, Instituto Plan Agropecuario.; BETTINA, COPPOLA, Instituto Plan Agropecuario.; SANTIAGO BARRETO, Instituto Plan Agropecuario.; PABLO ALEXIS LLOVET FILIPPINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; WALTER FELIZARDO AYALA SILVERA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOAQUIN LAPETINA ACERENZA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
FPTA 343: co-innovación para el desarrollo sustentable de la ganadería familiar en las Sierras del Este. |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
Revista INIA Uruguay, 2019, no.57, p.73-77. |
Serie : |
(Revista INIA; 57) |
ISSN : |
1510-9011 |
Idioma : |
Español |
Palabras claves : |
EXTENSIÓN RURAL; GANADERÍA FAMILIAR. |
Asunto categoría : |
A50 Investigación agraria |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12944/1/Revista-INIA-57-Junio-2019-p.73-77.pdf
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Marc : |
LEADER 00846naa a2200313 a 4500 001 1059916 005 2022-07-05 008 2019 bl uuuu u00u1 u #d 022 $a1510-9011 100 1 $aAREOSA, P. 245 $aFPTA 343$bco-innovación para el desarrollo sustentable de la ganadería familiar en las Sierras del Este. 260 $c2019 490 $a(Revista INIA; 57) 653 $aEXTENSIÓN RURAL 653 $aGANADERÍA FAMILIAR 700 1 $aBONE, G. 700 1 $aGRAU, M. 700 1 $aRODRÍGUEZ, N. 700 1 $aMOLINA, C. 700 1 $aHEGEDUS, P. DE 700 1 $aÁLVAREZ, J. 700 1 $aSCARPITTA, N. 700 1 $aBARBAT, R. 700 1 $aCOPPOLA, B. 700 1 $aBARRETO, S. 700 1 $aLLOVET, P. 700 1 $aAYALA, W. 700 1 $aLAPETINA, J. 773 $tRevista INIA Uruguay, 2019, no.57, p.73-77.
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INIA Treinta y Tres (TT) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
15/08/2023 |
Actualizado : |
16/08/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
GALLEGO, F.; CAMBA SANS, G.; DI BELLA, C.M.; TISCORNIA, G.; PARUELO, J. |
Afiliación : |
F. GALLEGO, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo, Uruguay; G. CAMBA SANS, Departamento de Métodos Cuantitativos y Sistemas de Información. Facultad de Agronomía. Universidad de Buenos, Av. San Martín 4453, Buenos Aires, Argentina; C.M. DI BELLA, Departamento de Métodos Cuantitativos y Sistemas de Información. Facultad de Agronomía. Universidad de Buenos, Av. San Martín 4453, Buenos Aires, Argentina; IFEVA-CONICET, Av. San Martín 4453, Buenos Aires, Argentina; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Inst. Ecología y Ciencias Ambientales, Fac. Ciencias, Univ. de la República, Mdeo; Dpto. Métodos Cuantitativos y Sistemas Inf., Fac. Agronomía. Univ. Bs.As, Bs.As., Argentina; IFEVA-CONICET. |
Título : |
Performance of real evapotranspiration products and water yield estimations in Uruguay. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
Remote Sensing Applications: Society and Environment. 2023, Volume 32, 101043. https://doi.org/10.1016/j.rsase.2023.101043 |
ISSN : |
2352-9385 (online). |
DOI : |
10.1016/j.rsase.2023.101043 |
Idioma : |
Inglés |
Notas : |
Article history: Received 2 March 2023; Received in revised form 5 July 2023; Accepted 7 August 2023; Available online 9 August 2023. -- Corresponding author. Iguá 4225, Montevideo, CP:11400, Uruguay. E-mail addresses: fgallego@fcien.edu.uy (F. Gallego), camba@agro.uba.ar (G. Camba Sans), carlos.m.dibella@gmail.com (C.M. Di Bella), gtiscornia@inia.org.uy (G. Tiscornia), jparuelo@inia.org.uy (J.M. Paruelo). -- Funding: This research was funded by the FMV - ANII project (FMV_3_2020_1_162279) and INIA. -- Supplementary data: Supplementary data to this article can be found online at https://doi.org/10.1016/j.rsase.2023.101043 -- |
Contenido : |
Real evapotranspiration (ETR) is a key variable in socio-ecological systems since it is related to the food supply, climate regulation, among others. Additionally, ETR plays a significant role in determining water yield (WY) at the catchment level, which directly impacts water availability for consumption and irrigation. Therefore, it is essential to quantify ETR and WY fluctuations in response to various human pressures to enable comprehensive water planning. In recent decades, remote sensing has become increasingly employed worldwide for hydrological monitoring and estimating ETR. In Uruguay, several approaches have been attempted to quantify ETR. However, there is still a lack of assessments concerning the performance of different products, particularly those using remote sensing. The main objectives of this article were twofold: a) to evaluate the performance of various spatial explicit approaches for estimating real ETR and b) to estimate and analyse the variability in WY derived from the different ETR products for three climatically contrasting years. To achieve these objectives, we utilized four remote sensing ETR products: the Penman?Monteith?Leuning model (PMLv2), the MODIS product, the Simplified Jackson Model based on Landsat images and INTA-SEPA model based on NOAA-AVHRR images. We also employed two water balance models at two scales: national (derived from the National Institute for Agricultural Research of Uruguay, INIA) and micro-watershed level. Our results indicate that MODIS and PMLv2 remote sensing products exhibited better performances compared to the other approaches. These products provided the highest spatial (500 m) and temporal (8 days) resolution, effectively capturing seasonal differences between land-covers. Moreover, they showed positive and strong correlations with annual precipitation and productivity. The discrepancies observed between products have direct implications on the estimation of WY, not only in terms of quantity but also in terms of spatial patterns. Future studies should explore the application of MODIS and PMLv2 ETR estimations for understanding hydrological and ecological processes, conducting climate change research, detecting and mitigating agricultural drought, and managing water resources effectively. © 2023 Elsevier B.V. All rights reserved. MenosReal evapotranspiration (ETR) is a key variable in socio-ecological systems since it is related to the food supply, climate regulation, among others. Additionally, ETR plays a significant role in determining water yield (WY) at the catchment level, which directly impacts water availability for consumption and irrigation. Therefore, it is essential to quantify ETR and WY fluctuations in response to various human pressures to enable comprehensive water planning. In recent decades, remote sensing has become increasingly employed worldwide for hydrological monitoring and estimating ETR. In Uruguay, several approaches have been attempted to quantify ETR. However, there is still a lack of assessments concerning the performance of different products, particularly those using remote sensing. The main objectives of this article were twofold: a) to evaluate the performance of various spatial explicit approaches for estimating real ETR and b) to estimate and analyse the variability in WY derived from the different ETR products for three climatically contrasting years. To achieve these objectives, we utilized four remote sensing ETR products: the Penman?Monteith?Leuning model (PMLv2), the MODIS product, the Simplified Jackson Model based on Landsat images and INTA-SEPA model based on NOAA-AVHRR images. We also employed two water balance models at two scales: national (derived from the National Institute for Agricultural Research of Uruguay, INIA) and micro-watershed level. Our results i... Presentar Todo |
Palabras claves : |
Land-cover; NDVI; Precipitation; Remote sensing; Water balance. |
Asunto categoría : |
-- |
Marc : |
LEADER 03781naa a2200265 a 4500 001 1064286 005 2023-08-16 008 2023 bl uuuu u00u1 u #d 022 $a2352-9385 (online). 024 7 $a10.1016/j.rsase.2023.101043$2DOI 100 1 $aGALLEGO, F. 245 $aPerformance of real evapotranspiration products and water yield estimations in Uruguay.$h[electronic resource] 260 $c2023 500 $aArticle history: Received 2 March 2023; Received in revised form 5 July 2023; Accepted 7 August 2023; Available online 9 August 2023. -- Corresponding author. Iguá 4225, Montevideo, CP:11400, Uruguay. E-mail addresses: fgallego@fcien.edu.uy (F. Gallego), camba@agro.uba.ar (G. Camba Sans), carlos.m.dibella@gmail.com (C.M. Di Bella), gtiscornia@inia.org.uy (G. Tiscornia), jparuelo@inia.org.uy (J.M. Paruelo). -- Funding: This research was funded by the FMV - ANII project (FMV_3_2020_1_162279) and INIA. -- Supplementary data: Supplementary data to this article can be found online at https://doi.org/10.1016/j.rsase.2023.101043 -- 520 $aReal evapotranspiration (ETR) is a key variable in socio-ecological systems since it is related to the food supply, climate regulation, among others. Additionally, ETR plays a significant role in determining water yield (WY) at the catchment level, which directly impacts water availability for consumption and irrigation. Therefore, it is essential to quantify ETR and WY fluctuations in response to various human pressures to enable comprehensive water planning. In recent decades, remote sensing has become increasingly employed worldwide for hydrological monitoring and estimating ETR. In Uruguay, several approaches have been attempted to quantify ETR. However, there is still a lack of assessments concerning the performance of different products, particularly those using remote sensing. The main objectives of this article were twofold: a) to evaluate the performance of various spatial explicit approaches for estimating real ETR and b) to estimate and analyse the variability in WY derived from the different ETR products for three climatically contrasting years. To achieve these objectives, we utilized four remote sensing ETR products: the Penman?Monteith?Leuning model (PMLv2), the MODIS product, the Simplified Jackson Model based on Landsat images and INTA-SEPA model based on NOAA-AVHRR images. We also employed two water balance models at two scales: national (derived from the National Institute for Agricultural Research of Uruguay, INIA) and micro-watershed level. Our results indicate that MODIS and PMLv2 remote sensing products exhibited better performances compared to the other approaches. These products provided the highest spatial (500 m) and temporal (8 days) resolution, effectively capturing seasonal differences between land-covers. Moreover, they showed positive and strong correlations with annual precipitation and productivity. The discrepancies observed between products have direct implications on the estimation of WY, not only in terms of quantity but also in terms of spatial patterns. Future studies should explore the application of MODIS and PMLv2 ETR estimations for understanding hydrological and ecological processes, conducting climate change research, detecting and mitigating agricultural drought, and managing water resources effectively. © 2023 Elsevier B.V. All rights reserved. 653 $aLand-cover 653 $aNDVI 653 $aPrecipitation 653 $aRemote sensing 653 $aWater balance 700 1 $aCAMBA SANS, G. 700 1 $aDI BELLA, C.M. 700 1 $aTISCORNIA, G. 700 1 $aPARUELO, J. 773 $tRemote Sensing Applications: Society and Environment. 2023, Volume 32, 101043. https://doi.org/10.1016/j.rsase.2023.101043
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