15 citations as recorded by crossref.

1. Deep learning and satellite remote sensing for biodiversity monitoring and conservation N. Pettorelli et al.
2. Development and validation of physically constrained machine learning for improving remote sensing-based evapotranspiration estimation J. Wei et al.
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4. Dynamics and environmental thresholds of ecosystem respiration across the conterminous United States: Insights from AmeriFlux and remote sensing data G. Tefera et al.
5. Dryland evapotranspiration from remote sensing solar-induced chlorophyll fluorescence: Constraining an optimal stomatal model within a two-source energy balance model J. Bu et al.
6. Artificial intelligence and Eddy covariance: A review A. Lucarini et al.
7. Application and Uncertainty Analysis of Data-Driven and Process-Based Evapotranspiration Models Across Various Ecosystems Q. Wang et al.
8. Evaluating the ability of deep learning on actual daily evapotranspiration estimation over the heterogeneous surfaces J. Feng et al.
9. A Novel Framework Based on Data Fusion and Machine Learning for Upscaling Evapotranspiration from Flux Towers to the Regional Scale P. Zhu et al.
10. A physics-constrained deep learning framework for actual evapotranspiration estimation using ground station observations and remote sensing data L. Wang et al.
11. Advanced monitoring of soil-vegetation co-dynamics reveals the successive controls of snowmelt on soil moisture and on plant seasonal dynamics in a mountainous watershed B. Dafflon et al.
12. Spatiotemporal Changes and Driver Analysis of Ecosystem Respiration in the Tibetan and Inner Mongolian Grasslands W. Liu et al.
13. An Outlook for Deep Learning in Ecosystem Science G. Perry et al.
14. Optimizing actual evapotranspiration simulation to identify evapotranspiration partitioning variations: A fusion of physical processes and machine learning techniques X. Jiang et al.
15. An Overview of Evapotranspiration Estimation Models Utilizing Artificial Intelligence M. Taheri et al.