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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
15/08/2023 |
Actualizado : |
16/08/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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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INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
28/10/2016 |
Actualizado : |
28/10/2016 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
VANKEIRSBILCK, M.I.; HERRERO, M.A.; VOLPE, S.M.; CARBÓ, L.I.; TORO, S.; LA MANNA, A. |
Afiliación : |
ALEJANDRO FRANCISCO LA MANNA ALONSO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Aptitud de fuentes de agua subterránea en predios lecheros del Noreste Bonaerense, Argentina. Comunicación. |
Complemento del título : |
SP 22. Sistemas de Producción. |
Fecha de publicación : |
2016 |
Fuente / Imprenta : |
IN: REVISTA ARGENTINA DE PRODUCCIÓN ANIMAL, 2016, VOL. 36, ISS.1 (SUPL). 39 CONGRESO ARGENTINO DE PRODUCCIÓN ANIMAL. 19-21 OCTUBRE 2016. ACTAS. Buenos Aires (Argentina): AAPA. |
Páginas : |
p. 92. |
Idioma : |
Español |
Thesagro : |
ARGENTINA; CALIDAD DEL AGUA; FUENTES DE AGUA; LECHERÍA. |
Asunto categoría : |
L01 Ganadería |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/6271/1/aapa-2016-LaManna-4.pdf
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Marc : |
LEADER 00788nam a2200217 a 4500 001 1055934 005 2016-10-28 008 2016 bl uuuu u0uu1 u #d 100 1 $aVANKEIRSBILCK, M.I. 245 $aAptitud de fuentes de agua subterránea en predios lecheros del Noreste Bonaerense, Argentina. Comunicación.$h[electronic resource] 260 $aIN: REVISTA ARGENTINA DE PRODUCCIÓN ANIMAL, 2016, VOL. 36, ISS.1 (SUPL). 39 CONGRESO ARGENTINO DE PRODUCCIÓN ANIMAL. 19-21 OCTUBRE 2016. ACTAS. Buenos Aires (Argentina): AAPA.$c2016 300 $ap. 92. 650 $aARGENTINA 650 $aCALIDAD DEL AGUA 650 $aFUENTES DE AGUA 650 $aLECHERÍA 700 1 $aHERRERO, M.A. 700 1 $aVOLPE, S.M. 700 1 $aCARBÓ, L.I. 700 1 $aTORO, S. 700 1 $aLA MANNA, A.
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