Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Sonia Valdivielso"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract Isotopic composition modelling is a key aspect in many environmental studies. This work presents Isocompy, an open source Python library that estimates isotopic compositions through machine learning algorithms with user-defined variables. Is
Externí odkaz:
https://doaj.org/article/a57f9a73368747d084900221e6fac93b
Autor:
Joan Botey i Bassols, Carmen Bedia, María Cuevas-González, Sonia Valdivielso, Michele Crosetto, Enric Vázquez-Suñé
Publikováno v:
Remote Sensing, Vol 15, Iss 20, p 4964 (2023)
InSAR coherence-change detection (CCD) is a promising remote sensing technique that is able to map areas affected by torrential sediment transport triggered by flash floods in arid environments. CCD maps the changes in the interferometric coherence b
Externí odkaz:
https://doaj.org/article/ae043380487a4a61a4902bd4c9ee0611
Autor:
Joan Botey i Bassols, Carmen Bedia, María Cuevas-González, Sonia Valdivielso, Michele Crosetto, Enric Vázquez-Suñé
Publikováno v:
Remote Sensing, Vol 15, Iss 12, p 3034 (2023)
Coherence change detection (CCD) is a remote sensing technique used to map phenomena that, under certain conditions, can be directly related to changes in Interferometric SAR (InSAR) coherence. Mapping the areas affected by sediment transport events
Externí odkaz:
https://doaj.org/article/ee07d3b36fda4b14a6286231f29d6eba
Autor:
Rotman A. Criollo Manjarrez, Laura Scheiber, Laura Poza, Sonia Valdivielso Mijangos, Pedro Simunovic, Enric Vázquez-Suñé
Publikováno v:
Advances in Geosciences. 59:17-25
The hydrologic cycle behaviour in the Bolivian Altiplano and how it interacts with human activity are still not fully understood. The hydraulic cycle is examined in a novel way in this work by considering extended time series of associated hydrologic
Autor:
Vázquez-Suñé, Joan Botey i Bassols, Carmen Bedia, María Cuevas-González, Sonia Valdivielso, Michele Crosetto, Enric
Publikováno v:
Remote Sensing; Volume 15; Issue 12; Pages: 3034
Coherence change detection (CCD) is a remote sensing technique used to map phenomena that, under certain conditions, can be directly related to changes in Interferometric SAR (InSAR) coherence. Mapping the areas affected by sediment transport events
Stable isotopic composition modelling of water is an important part of resource management studies. We present a tool that estimates water stable isotope compositions using discontinuous inputs in time and space through machine learning algorithms. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27095f5600bef203289f11728d022d4c
https://doi.org/10.5194/egusphere-egu23-1672
https://doi.org/10.5194/egusphere-egu23-1672
Isotopic composition modelling is a key aspect in many environmental studies. This work presents an open source Python library that estimates isotopic compositions through machine learning algorithms with user-defined variables. This library includes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98075c178f671e7ed987bf2a7b46e8f9
https://doi.org/10.22541/essoar.167590831.19426646/v1
https://doi.org/10.22541/essoar.167590831.19426646/v1
In the peripheral aquifer of the Salar de Atacama, recharge is a key term of the water balance. This recharge is produced under arid conditions in the sub-basins surrounding the Salar and is dominated by medium salinity water due the intense evapo-co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::800e7b342a4efe1a4cd5b654b4de97c6
https://doi.org/10.5194/egusphere-egu22-9097
https://doi.org/10.5194/egusphere-egu22-9097
The determination of aquifer recharge zones is necessary for optimal and sustainable management of water resources. Stable isotopes (δ18O and δ2H) are an effective tool to better understand the relationship between precipitation and groundwater. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bae3d2f2b6b13d5fa9f3cdc297221fe6
https://doi.org/10.5194/egusphere-egu22-9346
https://doi.org/10.5194/egusphere-egu22-9346