Performance of real evapotranspiration products and water yield estimations in Uruguay
Resumen:
Real evapotranspiration (ETR) is a key variable in socio-ecological systems since it is related to the food supply, climate regulation, among others. Also, ETR strongly determines the water yield (WY) at the catchment level (water available for consumption or irrigation). In that sense, quantifying ETR and WY fluctuations linked to various human pressures is essential for comprehensive water planning. In the last decades, remote sensing ETR estimations have become increasingly performed worldwide for hydrological monitoring. In Uruguay, there are several attempts to quantify the ETR through different approaches. However, assessments related to the performance of the estimates of different sources/products, particularly from remote sensing, are still lacking. The main objectives of this article were: a) to evaluate the performance of different spatial explicit approaches to estimate real ETR and b) to estimate and analyse the variability in water yield derived from the different ETR sources/products for three climatically contrasting years. To achieve this, we used four remote sensing ETR products (PMLv2, MOD16A2, Jackson et al. 1977 and Di Bella et al. 2000), with different spatial and temporal resolutions (from 500 to 1000-m and 8 to 16-d), and two water balance models at two scales, national (INIA-GRAS) and micro-watershed level (Silveira et al. 2016). Our results suggest that MODIS and PMLv2 remote sensing products demonstrated better performances. Both products have high spatial (500-m) and temporal (8-d) resolution, captured seasonal differences between land-covers and showed positive and high correlations with the annual precipitation and productivity. The differences found between products have direct implications on the WY estimates, not only in the quantity but also in its spatial pattern. Future studies should explore MODIS and PML ETR estimations for understanding hydrological and ecological processes, global climate change research, agricultural drought detection and mitigation, and water resource management.
2023 | |
FMV_3_2020_1_162279 | |
Remote sensing Land-cover Water balance NDVI Precipitation |
|
Inglés | |
Universidad de la República | |
COLIBRI | |
https://hdl.handle.net/20.500.12008/43360 | |
Acceso abierto | |
Licencia Creative Commons Atribución (CC - By 4.0) |
_version_ | 1807522809479430144 |
---|---|
author | Gallego Caballero, Federico Martín |
author2 | Camba Sans, Gonzalo Di Bella, C.M Tiscornia Tosar, Guadalupe Paruelo, José María |
author2_role | author author author author |
author_facet | Gallego Caballero, Federico Martín Camba Sans, Gonzalo Di Bella, C.M Tiscornia Tosar, Guadalupe Paruelo, José María |
author_role | author |
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collection | COLIBRI |
dc.contributor.filiacion.none.fl_str_mv | Gallego Caballero Federico Martín, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales. Camba Sans Gonzalo, Universidad de la República (Uruguay). Facultad de Agronomía. Di Bella C.M, Universidad de la República (Uruguay). Facultad de Agronomía. Tiscornia Tosar Guadalupe, INIA Paruelo José María, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales. |
dc.creator.none.fl_str_mv | Gallego Caballero, Federico Martín Camba Sans, Gonzalo Di Bella, C.M Tiscornia Tosar, Guadalupe Paruelo, José María |
dc.date.accessioned.none.fl_str_mv | 2024-04-08T12:38:19Z |
dc.date.available.none.fl_str_mv | 2024-04-08T12:38:19Z |
dc.date.issued.none.fl_str_mv | 2023 |
dc.description.abstract.none.fl_txt_mv | Real evapotranspiration (ETR) is a key variable in socio-ecological systems since it is related to the food supply, climate regulation, among others. Also, ETR strongly determines the water yield (WY) at the catchment level (water available for consumption or irrigation). In that sense, quantifying ETR and WY fluctuations linked to various human pressures is essential for comprehensive water planning. In the last decades, remote sensing ETR estimations have become increasingly performed worldwide for hydrological monitoring. In Uruguay, there are several attempts to quantify the ETR through different approaches. However, assessments related to the performance of the estimates of different sources/products, particularly from remote sensing, are still lacking. The main objectives of this article were: a) to evaluate the performance of different spatial explicit approaches to estimate real ETR and b) to estimate and analyse the variability in water yield derived from the different ETR sources/products for three climatically contrasting years. To achieve this, we used four remote sensing ETR products (PMLv2, MOD16A2, Jackson et al. 1977 and Di Bella et al. 2000), with different spatial and temporal resolutions (from 500 to 1000-m and 8 to 16-d), and two water balance models at two scales, national (INIA-GRAS) and micro-watershed level (Silveira et al. 2016). Our results suggest that MODIS and PMLv2 remote sensing products demonstrated better performances. Both products have high spatial (500-m) and temporal (8-d) resolution, captured seasonal differences between land-covers and showed positive and high correlations with the annual precipitation and productivity. The differences found between products have direct implications on the WY estimates, not only in the quantity but also in its spatial pattern. Future studies should explore MODIS and PML ETR estimations for understanding hydrological and ecological processes, global climate change research, agricultural drought detection and mitigation, and water resource management. |
dc.description.sponsorship.none.fl_txt_mv | FMV_3_2020_1_162279 |
dc.format.extent.es.fl_str_mv | 41 h. |
dc.format.mimetype.es.fl_str_mv | application/pdf |
dc.identifier.citation.es.fl_str_mv | Gallego Caballero, F, Camba Sans, G, Di Bella, C, y otros. "Performance of real evapotranspiration products and water yield estimations in Uruguay" [Preprint] Publicado en: Remote Sensing Applications: Society and Environment, v.32, nov. 2023, https://doi.org/10.1016/j.rsase.2023.101043 |
dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/43360 |
dc.language.iso.none.fl_str_mv | en eng |
dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
dc.subject.es.fl_str_mv | Remote sensing Land-cover Water balance NDVI Precipitation |
dc.title.none.fl_str_mv | Performance of real evapotranspiration products and water yield estimations in Uruguay |
dc.type.es.fl_str_mv | Preprint |
dc.type.none.fl_str_mv | info:eu-repo/semantics/preprint |
dc.type.version.none.fl_str_mv | info:eu-repo/semantics/submittedVersion |
description | Real evapotranspiration (ETR) is a key variable in socio-ecological systems since it is related to the food supply, climate regulation, among others. Also, ETR strongly determines the water yield (WY) at the catchment level (water available for consumption or irrigation). In that sense, quantifying ETR and WY fluctuations linked to various human pressures is essential for comprehensive water planning. In the last decades, remote sensing ETR estimations have become increasingly performed worldwide for hydrological monitoring. In Uruguay, there are several attempts to quantify the ETR through different approaches. However, assessments related to the performance of the estimates of different sources/products, particularly from remote sensing, are still lacking. The main objectives of this article were: a) to evaluate the performance of different spatial explicit approaches to estimate real ETR and b) to estimate and analyse the variability in water yield derived from the different ETR sources/products for three climatically contrasting years. To achieve this, we used four remote sensing ETR products (PMLv2, MOD16A2, Jackson et al. 1977 and Di Bella et al. 2000), with different spatial and temporal resolutions (from 500 to 1000-m and 8 to 16-d), and two water balance models at two scales, national (INIA-GRAS) and micro-watershed level (Silveira et al. 2016). Our results suggest that MODIS and PMLv2 remote sensing products demonstrated better performances. Both products have high spatial (500-m) and temporal (8-d) resolution, captured seasonal differences between land-covers and showed positive and high correlations with the annual precipitation and productivity. The differences found between products have direct implications on the WY estimates, not only in the quantity but also in its spatial pattern. Future studies should explore MODIS and PML ETR estimations for understanding hydrological and ecological processes, global climate change research, agricultural drought detection and mitigation, and water resource management. |
eu_rights_str_mv | openAccess |
format | preprint |
id | COLIBRI_aed04a5be166a477b46f694bcd9a7618 |
identifier_str_mv | Gallego Caballero, F, Camba Sans, G, Di Bella, C, y otros. "Performance of real evapotranspiration products and water yield estimations in Uruguay" [Preprint] Publicado en: Remote Sensing Applications: Society and Environment, v.32, nov. 2023, https://doi.org/10.1016/j.rsase.2023.101043 |
instacron_str | Universidad de la República |
institution | Universidad de la República |
instname_str | Universidad de la República |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/43360 |
publishDate | 2023 |
reponame_str | COLIBRI |
repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
repository.name.fl_str_mv | COLIBRI - Universidad de la República |
repository_id_str | 4771 |
rights_invalid_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
spelling | Gallego Caballero Federico Martín, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales.Camba Sans Gonzalo, Universidad de la República (Uruguay). Facultad de Agronomía.Di Bella C.M, Universidad de la República (Uruguay). Facultad de Agronomía.Tiscornia Tosar Guadalupe, INIAParuelo José María, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales.2024-04-08T12:38:19Z2024-04-08T12:38:19Z2023Gallego Caballero, F, Camba Sans, G, Di Bella, C, y otros. "Performance of real evapotranspiration products and water yield estimations in Uruguay" [Preprint] Publicado en: Remote Sensing Applications: Society and Environment, v.32, nov. 2023, https://doi.org/10.1016/j.rsase.2023.101043https://hdl.handle.net/20.500.12008/43360Real evapotranspiration (ETR) is a key variable in socio-ecological systems since it is related to the food supply, climate regulation, among others. Also, ETR strongly determines the water yield (WY) at the catchment level (water available for consumption or irrigation). In that sense, quantifying ETR and WY fluctuations linked to various human pressures is essential for comprehensive water planning. In the last decades, remote sensing ETR estimations have become increasingly performed worldwide for hydrological monitoring. In Uruguay, there are several attempts to quantify the ETR through different approaches. However, assessments related to the performance of the estimates of different sources/products, particularly from remote sensing, are still lacking. The main objectives of this article were: a) to evaluate the performance of different spatial explicit approaches to estimate real ETR and b) to estimate and analyse the variability in water yield derived from the different ETR sources/products for three climatically contrasting years. To achieve this, we used four remote sensing ETR products (PMLv2, MOD16A2, Jackson et al. 1977 and Di Bella et al. 2000), with different spatial and temporal resolutions (from 500 to 1000-m and 8 to 16-d), and two water balance models at two scales, national (INIA-GRAS) and micro-watershed level (Silveira et al. 2016). Our results suggest that MODIS and PMLv2 remote sensing products demonstrated better performances. Both products have high spatial (500-m) and temporal (8-d) resolution, captured seasonal differences between land-covers and showed positive and high correlations with the annual precipitation and productivity. The differences found between products have direct implications on the WY estimates, not only in the quantity but also in its spatial pattern. Future studies should explore MODIS and PML ETR estimations for understanding hydrological and ecological processes, global climate change research, agricultural drought detection and mitigation, and water resource management.Submitted by Pintos Natalia (nataliapintosmvd@gmail.com) on 2024-04-05T14:08:05Z No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) PP_10.1016.j.rsase.2023.101043.pdf: 2458548 bytes, checksum: e7ead98ef70156cb349e0d7b3dfa150e (MD5)Approved for entry into archive by Faget Cecilia (lfaget@fcien.edu.uy) on 2024-04-08T11:46:54Z (GMT) No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) PP_10.1016.j.rsase.2023.101043.pdf: 2458548 bytes, checksum: e7ead98ef70156cb349e0d7b3dfa150e (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2024-04-08T12:38:19Z (GMT). No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) PP_10.1016.j.rsase.2023.101043.pdf: 2458548 bytes, checksum: e7ead98ef70156cb349e0d7b3dfa150e (MD5) Previous issue date: 2023FMV_3_2020_1_16227941 h.application/pdfenengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución (CC - By 4.0)Remote sensingLand-coverWater balanceNDVIPrecipitationPerformance of real evapotranspiration products and water yield estimations in UruguayPreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaGallego Caballero, Federico MartínCamba Sans, GonzaloDi Bella, C.MTiscornia Tosar, GuadalupeParuelo, José MaríaLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/43360/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-844http://localhost:8080/xmlui/bitstream/20.500.12008/43360/2/license_urla0ebbeafb9d2ec7cbb19d7137ebc392cMD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse |
spellingShingle | Performance of real evapotranspiration products and water yield estimations in Uruguay Gallego Caballero, Federico Martín Remote sensing Land-cover Water balance NDVI Precipitation |
status_str | submittedVersion |
title | Performance of real evapotranspiration products and water yield estimations in Uruguay |
title_full | Performance of real evapotranspiration products and water yield estimations in Uruguay |
title_fullStr | Performance of real evapotranspiration products and water yield estimations in Uruguay |
title_full_unstemmed | Performance of real evapotranspiration products and water yield estimations in Uruguay |
title_short | Performance of real evapotranspiration products and water yield estimations in Uruguay |
title_sort | Performance of real evapotranspiration products and water yield estimations in Uruguay |
topic | Remote sensing Land-cover Water balance NDVI Precipitation |
url | https://hdl.handle.net/20.500.12008/43360 |