THE GRAPE REMOTE SENSING ATMOSPHERIC PROFILE AND EVAPOTRANSPIRATION EXPERIMENT

The GRAPEX project focuses on the development of improved water management tools for vineyards.

[1]  Feng Gao,et al.  Investigating water use over the Choptank River Watershed using a multisatellite data fusion approach , 2017 .

[2]  Martha C. Anderson,et al.  Monitoring daily evapotranspiration over two California vineyards using Landsat 8 in a multi-sensor data fusion approach , 2016 .

[3]  William J. Massman,et al.  An improved canopy wind model for predicting wind adjustment factors and wildland fire behavior , 2016 .

[4]  Pablo J. Zarco-Tejada,et al.  Vineyard irrigation scheduling based on airborne thermal imagery and water potential thresholds , 2016 .

[5]  T. Sauer,et al.  Energy and evapotranspiration partitioning in a desert vineyard , 2016 .

[6]  Pablo J. Zarco-Tejada,et al.  Estimating evaporation with thermal UAV data and two-source energy balance models , 2016 .

[7]  Martha C. Anderson,et al.  Mapping evapotranspiration with high-resolution aircraft imagery over vineyards using one- and two-source modeling schemes , 2015 .

[8]  P. Zarco-Tejada,et al.  Seasonal evolution of crop water stress index in grapevine varieties determined with high-resolution remote sensing thermal imagery , 2015, Irrigation Science.

[9]  Andrew J. McElrone,et al.  Thermocouple frequency response compensation leads to convergence of the surface renewal alpha calibration , 2014 .

[10]  Martha C. Anderson,et al.  Mapping daily evapotranspiration at field scales over rainfed and irrigated agricultural areas using remote sensing data fusion , 2014 .

[11]  R. Snyder,et al.  Surface renewal: an advanced micrometeorological method for measuring and processing field-scale energy flux density data. , 2013, Journal of visualized experiments : JoVE.

[12]  Thomas J. Sauer,et al.  Micro-Bowen ratio system for measuring evapotranspiration in a vineyard interrow , 2013 .

[13]  Martha C. Anderson,et al.  A data fusion approach for mapping daily evapotranspiration at field scale , 2013 .

[14]  Zoltan Szantoi,et al.  Fast and Robust Topographic Correction Method for Medium Resolution Satellite Imagery Using a Stratified Approach , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[15]  W. Kustas,et al.  Estimation of surface energy fluxes using surface renewal and flux variance techniques over an advective irrigated agricultural site , 2012 .

[16]  Paul D. Colaizzi,et al.  Two-source energy balance model estimates of evapotranspiration using component and composite surface temperatures☆ , 2012 .

[17]  D. Jupp,et al.  A physics-based atmospheric and BRDF correction for Landsat data over mountainous terrain , 2012 .

[18]  W. Kustas,et al.  Partitioning Evapotranspiration Using an Eddy Covariance‐Based Technique: Improved Assessment of Soil Moisture and Land–Atmosphere Exchange Dynamics , 2012 .

[19]  Martha C. Anderson,et al.  Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources , 2012 .

[20]  Paul D. Colaizzi,et al.  Radiation Model for Row Crops: I. Geometric View Factors and Parameter Optimization , 2012 .

[21]  R. Dickinson,et al.  A review of global terrestrial evapotranspiration: Observation, modeling, climatology, and climatic variability , 2011 .

[22]  Mario Minacapilli,et al.  The impact of in-canopy wind profile formulations on heat flux estimation in an open orchard using the remote sensing-based two-source model , 2010 .

[23]  Martha C. Anderson,et al.  Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery , 2010 .

[24]  Paul D. Colaizzi,et al.  Radiometer Footprint Model to Estimate Sunlit and Shaded Components for Row Crops , 2010 .

[25]  W. Kustas,et al.  Partitioning carbon dioxide and water vapor fluxes using correlation analysis , 2010 .

[26]  Martha C. Anderson,et al.  Advances in thermal infrared remote sensing for land surface modeling , 2009 .

[27]  Martha C. Anderson,et al.  A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales , 2008 .

[28]  M. Mccabe,et al.  Estimating Land Surface Evaporation: A Review of Methods Using Remotely Sensed Surface Temperature Data , 2008 .

[29]  Javier Gonzalez,et al.  Shadow detection in colour high‐resolution satellite images , 2008 .

[30]  Qing Xiao,et al.  Unified Optical-Thermal Four-Stream Radiative Transfer Theory for Homogeneous Vegetation Canopies , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[31]  Martha C. Anderson,et al.  A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation , 2007 .

[32]  Naty Hoffman.  Reflectance , 2006, SIGGRAPH Courses.

[33]  Mathew R. Schwaller,et al.  On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[34]  R. Richter,et al.  De‐shadowing of satellite/airborne imagery , 2005 .

[35]  Martha C. Anderson,et al.  A Multiscale Remote Sensing Model for Disaggregating Regional Fluxes to Micrometeorological Scales , 2004 .

[36]  S. Running,et al.  Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data , 2002 .

[37]  J. Norman,et al.  Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover , 1999 .

[38]  William P. Kustas,et al.  A two‐source approach for estimating turbulent fluxes using multiple angle thermal infrared observations , 1997 .

[39]  W. Massman,et al.  AN ANALYTICAL ONE-DIMENSIONAL MODEL OF MOMENTUM TRANSFER BY VEGETATION OF ARBITRARY STRUCTURE , 1997 .

[40]  Martha C. Anderson,et al.  A Two-Source Time-Integrated Model for Estimating Surface Fluxes Using Thermal Infrared Remote Sensing , 1997 .

[41]  J. Norman,et al.  Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature , 1995 .

[42]  Yves Brunet,et al.  Surface renewal analysis: a new method to obtain scalar fluxes , 1995 .

[43]  Francis Zagolski,et al.  Modeling radiative transfer in heterogeneous 3D vegetation canopies , 1995, Remote Sensing.

[44]  William J. Massman,et al.  A comparative study of some mathematical models of the mean wind structure and aerodynamic drag of plant canopies , 1987 .

[45]  D. Hodáňová.  An introduction to environmental biophysics , 1979, Biologia Plantarum.

[46]  Paul D. Colaizzi,et al.  Advances in a Two-Source Energy Balance Model: Partitioning of Evaporation and Transpiration for Cotton , 2016 .

[47]  Paul D. Colaizzi,et al.  TWO-SOURCE ENERGY BALANCE MODEL TO CALCULATE E, T, AND ET: COMPARISON OF PRIESTLEY-TAYLOR AND PENMAN-MONTEITH FORMULATIONS AND TWO TIME SCALING METHODS , 2014 .

[48]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[49]  J. Goudriaan,et al.  Crop Micrometeorology: A Simulation Study , 1977 .