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2. A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing evapotranspiration from plant to global scales

3. Soil structure is an important omission in Earth System Models.

5. Application of the vineyard data assimilation (VIDA) system to vineyard root-zone soil moisture monitoring in the California Central Valley

6. LAI estimation across California vineyards using sUAS multi-seasonal multi-spectral, thermal, and elevation information and machine learning

14. THE GRAPE REMOTE SENSING ATMOSPHERIC PROFILE AND EVAPOTRANSPIRATION EXPERIMENT

20. ET Partitioning Assessment Using the TSEB Model and sUAS Information across California Central Valley Vineyards

25. Rethinking the deployment of static chambers for CO2 flux measurement in dry desert soils.

26. The effect of soil type and crust cover on the absorption of atmospheric water vapor – laboratory and field trials

41. Evapotranspiration partitioning assessment using a machine-learning-based leaf area index and the two-source energy balance model with sUAV information

43. The effect of soil type and crust cover on the absorption of atmospheric water vapor – laboratory and field trials

47. Using a Remote Sensing data based toolkit to monitor vine water use and water status for real time irrigation scheduling in California vineyards

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