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Impact of Using Different Time-Averaged Inputs for Estimating Sensible Heat Flux of Riparian Vegetation Using Radiometric Surface Temperature.
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- Journal of Applied Meteorology (1988), 2002, v. 41, n. 3, p. 319, doi. 10.1175/1520-0450(2002)041<0319:IOUDTA>2.0.CO;2
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- Article
Estimation of surface heat fluxes at field scale using surface layer versus mixed-layer...
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- Journal of Applied Meteorology (1988), 1999, v. 38, n. 2, p. 224, doi. 10.1175/1520-0450(1999)038<0224:EOSHFA>2.0.CO;2
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Reintroducing radiometric surface temperature into the Penman- Monteith formulation.
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- Water Resources Research, 2015, v. 51, n. 8, p. 6214, doi. 10.1002/2014WR016106
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- Article
A meteorological‐based crop coefficient model for estimation of daily evapotranspiration.
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- Hydrological Processes, 2021, v. 35, n. 2, p. 1, doi. 10.1002/hyp.14025
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- Article
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
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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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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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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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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- Article
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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- 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
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
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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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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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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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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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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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
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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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
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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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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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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Daily evapotranspiration estimates from extrapolating instantaneous airborne remote sensing ET values.
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- Irrigation Science, 2009, v. 27, n. 1, p. 67, doi. 10.1007/s00271-008-0122-3
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The Grape Remote Sensing Atmospheric Profile and Evapotranspiration Experiment.
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- Bulletin of the American Meteorological Society, 2018, v. 99, n. 9, p. 1791, doi. 10.1175/BAMS-D-16-0244.1
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- Article
CROP WIND ENERGY EXPERIMENT (CWEX).
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- Bulletin of the American Meteorological Society, 2013, v. 94, n. 5, p. 655, doi. 10.1175/BAMS-D-11-00240.1
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Lidar Method to Estimate Emission Rates from Extended Sources.
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- Journal of Atmospheric & Oceanic Technology, 2017, v. 34, n. 2, p. 335, doi. 10.1175/JTECH-D-16-0130.1
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- Article
Particulate Emissions from a Beef Cattle Feedlot Using the Flux-Gradient Technique.
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- Journal of Environmental Quality, 2014, v. 43, n. 4, p. 1131, doi. 10.2134/jeq2013.04.0129er
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Particulate Emissions from a Beef Cattle Feedlot Using the Flux-Gradient Technique.
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- Journal of Environmental Quality, 2013, v. 42, n. 5, p. 1341, doi. 10.2134/jeq2013.04.0129
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- Article
Particulate Emissions Calculations from Fall Tillage Operations Using Point and Remote Sensors.
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- Journal of Environmental Quality, 2013, v. 42, n. 4, p. 1029, doi. 10.2134/jeq2013.01.0009
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- Article
Comparison of Field-scale Herbicide Runoff and Volatilization Losses: An Eight-Year Field Investigation.
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- Journal of Environmental Quality, 2011, v. 40, n. 5, p. 1432, doi. 10.2134/jeq2010.0092
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Soil Moisture and Metolahlor Volatilization Observations over Three Years.
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- Journal of Environmental Quality, 2009, v. 38, n. 5, p. 1785, doi. 10.2134/jeq2008.0276
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Toward understanding the physical link between turbines and microclimate impacts from in situ measurements in a large wind farm.
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- Journal of Geophysical Research. Atmospheres, 2016, v. 121, n. 22, p. 13,392, doi. 10.1002/2016JD025297
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Aerodynamic measurements of methyl bromide volatilization from tarped and nontarped fields
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- Journal of Environmental Quality, 1995, v. 24, n. 4, p. 742
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Intercomparison of Nine Micrometeorological Stations during the BEAREX08 Field Campaign.
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- Journal of Atmospheric & Oceanic Technology, 2011, v. 28, n. 11, p. 1390, doi. 10.1175/2011JTECH1514.1
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SMAP soil moisture drying more rapid than observed in situ following rainfall events.
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- Geophysical Research Letters, 2016, v. 43, n. 15, p. 8068, doi. 10.1002/2016GL069946
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Comparison of Corn Transpiration, Eddy Covariance, and Soil Water Loss.
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- Soil Science Society of America Journal, 2014, v. 78, n. 4, p. 1214, doi. 10.2136/sssaj2014.01.0044
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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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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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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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Seasonal Evaluation of SMAP Soil Moisture in the U.S. Corn Belt.
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- Remote Sensing, 2019, v. 11, n. 21, p. 2488, doi. 10.3390/rs11212488
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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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Upscaling Gross Primary Production in Corn-Soybean Rotation Systems in the Midwest.
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- Remote Sensing, 2019, v. 11, n. 14, p. 1688, doi. 10.3390/rs11141688
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Downscaling of Surface Soil Moisture Retrieval by Combining MODIS/Landsat and In Situ Measurements.
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- Remote Sensing, 2018, v. 10, n. 2, p. 210, doi. 10.3390/rs10020210
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- Article
Daily Mapping of 30 m LAI and NDVI for Grape Yield Prediction in California Vineyards.
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- Remote Sensing, 2017, v. 9, n. 4, p. 317, doi. 10.3390/rs9040317
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- Article
Energy balance and turbulent flux partitioning in a corn–soybean rotation in the Midwestern US.
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- Theoretical & Applied Climatology, 2010, v. 100, n. 1-2, p. 79, doi. 10.1007/s00704-009-0169-y
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Estimating vegetation water content during the Soil Moisture Active Passive Validation Experiment 2016.
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- Journal of Applied Remote Sensing, 2019, v. 13, n. 1, p. 1, doi. 10.1117/1.JRS.13.014516
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Lidar based emissions measurement at the whole facility scale: Method and error analysis.
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- Journal of Applied Remote Sensing, 2009, v. 3, n. 1, p. 033510, doi. 10.1117/1.3097919
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- Article
Changes in Vegetation Condition and Surface Fluxes during NAME 2004.
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- Journal of Climate, 2007, v. 20, n. 9, p. 1810, doi. 10.1175/JCLI4088.1
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- Article
Nitrate Leaching as Influenced by Cover Crops in Large Soil Monoliths.
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- Agronomy Journal, 2002, v. 94, n. 4, p. 807, doi. 10.2134/agronj2002.8070
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- Article