[HTML][HTML] Data-driven estimation of actual evapotranspiration to support irrigation management: Testing two novel methods based on an unoccupied aerial vehicle and …
O Rozenstein, L Fine, N Malachy, A Richard… - Agricultural Water …, 2023 - Elsevier
Recent advances in remote sensing and machine learning show potential for improving
irrigation use efficiency. In this study, two independent methods to determine the irrigation …
irrigation use efficiency. In this study, two independent methods to determine the irrigation …
A review on models, products and techniques for evapotranspiration measurement, estimation, and validation
In this review study, the major available methods for measurement and estimation of
evapotranspiration (ET) are discussed briefly while explaining the latest developments. The …
evapotranspiration (ET) are discussed briefly while explaining the latest developments. The …
A gap filling method for daily evapotranspiration of global flux data sets based on deep learning
L Qian, L Wu, Z Zhang, J Fan, X Yu, X Liu, Q Yang… - Journal of …, 2024 - Elsevier
In response to irregular data gaps in evapotranspiration (ET) data obtained using eddy
covariance (EC) methods, this study seeks to explore a high-precision interpolation method …
covariance (EC) methods, this study seeks to explore a high-precision interpolation method …
Evaluating the impact of different UAV thermal sensors on evapotranspiration estimation
Accurate evapotranspiration (ET) estimation is vital for precise irrigation management.
Remote sensing provides a unique method for obtaining spatial and temporal ET …
Remote sensing provides a unique method for obtaining spatial and temporal ET …
[HTML][HTML] ClimateFiller: A Python framework for climate time series gap-filling and diagnosis based on artificial intelligence and multi-source reanalysis data
Clean weather time series is the primary ingredient for the successful modeling of any
process in the soil-plant-atmosphere continuum. However, measured meteorological data …
process in the soil-plant-atmosphere continuum. However, measured meteorological data …
[HTML][HTML] Application of a Computational Hybrid Model to Estimate and Filling Gaps for Meteorological Time Series
ER Coutinho, JGF Madeira, RM Silva… - Revista Brasileira de …, 2024 - SciELO Brasil
The present study applies computational intelligence techniques in the development of a
hybrid model composed of Artificial Neural Networks (ANNs) and Genetic Algorithms …
hybrid model composed of Artificial Neural Networks (ANNs) and Genetic Algorithms …
[HTML][HTML] Evapotranspiration Measurements and Modeling
J Tanny - Water, 2022 - mdpi.com
Evaporation is the conversion process of liquid water into vapor and the consequent
transport of that vapor into the atmosphere. In vegetation systems, water vapor flux can …
transport of that vapor into the atmosphere. In vegetation systems, water vapor flux can …
Az eddy-kovariancia mérések alapján származtatható evapotranspiráció bizonytalanságának vizsgálata
A számos kutatás és módszertani fejlesztés ellenére az evapotranspiráció az egyik
legnehezebben becsülhető komponense a vízmérlegnek. Az egyik közvetlen módszer …
legnehezebben becsülhető komponense a vízmérlegnek. Az egyik közvetlen módszer …
[PDF][PDF] EDDY-KOVARIANCIA ALAPÚ EVAPOTRANSZSPIRÁCIÓ MÉRÉSEK ÖSSZEHASONLÍTÓ ELEMZÉSE
I Dóra, B Zoltán, P Krisztina, N Zoltán, B János… - nimbus.elte.hu
A klímaváltozás következtében egyre gyakrabban alakulnak ki olyan szélsőséges időjárási
helyzetek, melyek hatással vannak a vízgazdálkodásra, és érzékenyen érintik a …
helyzetek, melyek hatással vannak a vízgazdálkodásra, és érzékenyen érintik a …