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Numerical Investigation of Observational Flux Partitioning Methods for Water Vapor and Carbon Dioxide.
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- Journal of Geophysical Research. Biogeosciences, 2024, v. 129, n. 6, p. 1, doi. 10.1029/2024JG008025
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- Article
The Tree-Crop Remote Sensing of Evapotranspiration Experiment (T-REX): A Science-Based Path for Sustainable Water Management and Climate Resilience.
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- Bulletin of the American Meteorological Society, 2024, v. 105, n. 1, p. E257, doi. 10.1175/BAMS-D-22-0118.1
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- Article
Hyperspectral and Photodiode Retrievals of Nighttime LED‐Induced Chlorophyll Fluorescence (LEDIF) for Tracking Photosynthetic Phenology in a Vineyard.
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- Journal of Geophysical Research. Biogeosciences, 2024, v. 129, n. 1, p. 1, doi. 10.1029/2023JG007742
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- Article
ET Partitioning Assessment Using the TSEB Model and sUAS Information across California Central Valley Vineyards.
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- Remote Sensing, 2023, v. 15, n. 3, p. 756, doi. 10.3390/rs15030756
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Evaluation of Partitioned Evaporation and Transpiration Estimates within the DisALEXI Modeling Framework over Irrigated Crops in California.
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- Remote Sensing, 2023, v. 15, n. 1, p. 68, doi. 10.3390/rs15010068
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- Article
From vine to vineyard: the GRAPEX multi-scale remote sensing experiment for improving vineyard irrigation management.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 435, doi. 10.1007/s00271-022-00816-9
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The vertical turbulent structure within the surface boundary layer above a Vineyard in California's Central Valley during GRAPEX.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 481, doi. 10.1007/s00271-022-00779-x
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- Article
Influence of modeling domain and meteorological forcing data on daily evapotranspiration estimates from a Shuttleworth–Wallace model using Sentinel-2 surface reflectance data.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 497, doi. 10.1007/s00271-022-00768-0
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Effects of meteorological and land surface modeling uncertainty on errors in winegrape ET calculated with SIMS.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 515, doi. 10.1007/s00271-022-00808-9
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- Article
Evaluation of satellite Leaf Area Index in California vineyards for improving water use estimation.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 531, doi. 10.1007/s00271-022-00798-8
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Downscaling UAV land surface temperature using a coupled wavelet-machine learning-optimization algorithm and its impact on evapotranspiration.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 553, doi. 10.1007/s00271-022-00801-2
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- Article
Impact of advection on two-source energy balance (TSEB) canopy transpiration parameterization for vineyards in the California Central Valley.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 575, doi. 10.1007/s00271-022-00778-y
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- Article
Application of a remote-sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 593, doi. 10.1007/s00271-022-00787-x
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- Article
Improving the spatiotemporal resolution of remotely sensed ET information for water management through Landsat, Sentinel-2, ECOSTRESS and VIIRS data fusion.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 609, doi. 10.1007/s00271-022-00799-7
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Performance of Sentinel-2 SAFER ET model for daily and seasonal estimation of grapevine water consumption.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 635, doi. 10.1007/s00271-022-00810-1
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The complementary uses of Sentinel-1A SAR and ECOSTRESS datasets to identify vineyard growth and conditions: a case study in Sonoma County, California.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 655, doi. 10.1007/s00271-022-00781-3
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- Article
Detecting short-term stress and recovery events in a vineyard using tower-based remote sensing of photochemical reflectance index (PRI).
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 683, doi. 10.1007/s00271-022-00777-z
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Evaluating different metrics from the thermal-based two-source energy balance model for monitoring grapevine water stress.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 697, doi. 10.1007/s00271-022-00790-2
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Vine water status mapping with multispectral UAV imagery and machine learning.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 715, doi. 10.1007/s00271-022-00788-w
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LAI estimation across California vineyards using sUAS multi-seasonal multi-spectral, thermal, and elevation information and machine learning.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 731, doi. 10.1007/s00271-022-00776-0
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- Article
Spatial–temporal modeling of root zone soil moisture dynamics in a vineyard using machine learning and remote sensing.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 761, doi. 10.1007/s00271-022-00775-1
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Application of the vineyard data assimilation (VIDA) system to vineyard root-zone soil moisture monitoring in the California Central Valley.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 779, doi. 10.1007/s00271-022-00789-9
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Time-series clustering of remote sensing retrievals for defining management zones in a vineyard.
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- Irrigation Science, 2022, v. 40, n. 4/5, p. 801, doi. 10.1007/s00271-021-00752-0
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Insights Into the Aerodynamic Versus Radiometric Surface Temperature Debate in Thermal‐Based Evaporation Modeling.
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- Geophysical Research Letters, 2022, v. 49, n. 15, p. 1, doi. 10.1029/2021GL097568
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- Article
Estimation of bell pepper evapotranspiration using two-source energy balance model based on high-resolution thermal and visible imagery from unmanned aerial vehicles.
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- Journal of Applied Remote Sensing, 2022, v. 16, n. 2, p. 22204, doi. 10.1117/1.JRS.16.022204
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Using Remote Sensing to Estimate Scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem.
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- Remote Sensing, 2022, v. 14, n. 2, p. 372, doi. 10.3390/rs14020372
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Achieving Breakthroughs in Global Hydrologic Science by Unlocking the Power of Multisensor, Multidisciplinary Earth Observations.
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- AGU Advances, 2021, v. 2, n. 4, p. 1, doi. 10.1029/2021AV000455
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Evaluating unoccupied aerial systems (UAS) imagery as an alternative tool towards cotton-based management zones.
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- Precision Agriculture, 2021, v. 22, n. 6, p. 1861, doi. 10.1007/s11119-021-09816-9
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Estimating Evapotranspiration of Mediterranean Oak Savanna at Multiple Temporal and Spatial Resolutions. Implications for Water Resources Management.
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- Remote Sensing, 2021, v. 13, n. 18, p. 3701, doi. 10.3390/rs13183701
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- Article
Determining Evapotranspiration by Using Combination Equation Models with Sentinel-2 Data and Comparison with Thermal-Based Energy Balance in a California Irrigated Vineyard.
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- Remote Sensing, 2021, v. 13, n. 18, p. 3720, doi. 10.3390/rs13183720
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- Article
Mapping Daily Evapotranspiration at Field Scale Using the Harmonized Landsat and Sentinel-2 Dataset, with Sharpened VIIRS as a Sentinel-2 Thermal Proxy.
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- Remote Sensing, 2021, v. 13, n. 17, p. 3420, doi. 10.3390/rs13173420
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Assessing Daily Evapotranspiration Methodologies from One-Time-of-Day sUAS and EC Information in the GRAPEX Project.
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- Remote Sensing, 2021, v. 13, n. 15, p. 2887, doi. 10.3390/rs13152887
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Surface Energy Flux Estimation in Two Boreal Settings in Alaska Using a Thermal-Based Remote Sensing Model.
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- Remote Sensing, 2020, v. 12, n. 24, p. 4108, doi. 10.3390/rs12244108
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Evapotranspiration Partitioning at Field Scales Using TSEB and Multi-Satellite Data Fusion in The Middle Reaches of Heihe River Basin, Northwest China.
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- Remote Sensing, 2020, v. 12, n. 19, p. 3223, doi. 10.3390/rs12193223
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Using Satellite Thermal-Based Evapotranspiration Time Series for Defining Management Zones and Spatial Association to Local Attributes in a Vineyard.
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- Remote Sensing, 2020, v. 12, n. 15, p. 2436, doi. 10.3390/rs12152436
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Influence of Model Grid Size on the Estimation of Surface Fluxes Using the Two Source Energy Balance Model and sUAS Imagery in Vineyards.
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- Remote Sensing, 2020, v. 12, n. 3, p. 342, doi. 10.3390/rs12030342
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Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models.
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- Remote Sensing, 2020, v. 12, n. 1, p. 50, doi. 10.3390/rs12010050
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Evaluation of TsHARP Utility for Thermal Sharpening of Sentinel-3 Satellite Images Using Sentinel-2 Visual Imagery.
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- Remote Sensing, 2019, v. 11, n. 19, p. 2304, doi. 10.3390/rs11192304
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- Article
Using High-Spatiotemporal Thermal Satellite ET Retrievals for Operational Water Use and Stress Monitoring in a California Vineyard.
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- Remote Sensing, 2019, v. 11, n. 18, p. 2124, doi. 10.3390/rs11182124
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Forward to the GRAPEX special issue.
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- Irrigation Science, 2019, v. 37, n. 3, p. 221, doi. 10.1007/s00271-019-00633-7
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- Article
Determining a robust indirect measurement of leaf area index in California vineyards for validating remote sensing-based retrievals.
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- Irrigation Science, 2019, v. 37, n. 3, p. 269, doi. 10.1007/s00271-018-0614-8
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- Article
Intermittency of water vapor fluxes from vineyards during light wind and convective conditions.
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- Irrigation Science, 2019, v. 37, n. 3, p. 281, doi. 10.1007/s00271-018-0617-5
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- Article
Crop Water Stress Index of an irrigated vineyard in the Central Valley of California.
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- Irrigation Science, 2019, v. 37, n. 3, p. 297, doi. 10.1007/s00271-018-0598-4
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- Article
Impact of different within-canopy wind attenuation formulations on modelling sensible heat flux using TSEB.
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- Irrigation Science, 2019, v. 37, n. 3, p. 315, doi. 10.1007/s00271-018-0611-y
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- Article
Comparison of vineyard evapotranspiration estimates from surface renewal using measured and modelled energy balance components in the GRAPEX project.
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- Irrigation Science, 2019, v. 37, n. 3, p. 333, doi. 10.1007/s00271-018-00618-y
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A multi-year intercomparison of micrometeorological observations at adjacent vineyards in California's Central Valley during GRAPEX.
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- Irrigation Science, 2019, v. 37, n. 3, p. 345, doi. 10.1007/s00271-018-0599-3
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- Article
Influence of wind direction on the surface roughness of vineyards.
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- Irrigation Science, 2019, v. 37, n. 3, p. 359, doi. 10.1007/s00271-018-0610-z
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- Article
Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery.
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- Irrigation Science, 2019, v. 37, n. 3, p. 389, doi. 10.1007/s00271-018-0585-9
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Assessment of different methods for shadow detection in high-resolution optical imagery and evaluation of shadow impact on calculation of NDVI, and evapotranspiration.
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- Irrigation Science, 2019, v. 37, n. 3, p. 407, doi. 10.1007/s00271-018-0613-9
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- Article
Evapotranspiration estimates derived using thermal-based satellite remote sensing and data fusion for irrigation management in California vineyards.
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- Irrigation Science, 2019, v. 37, n. 3, p. 431, doi. 10.1007/s00271-018-0591-y
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- Article