C. Neale

发表

Upscaling ground observations of vegetation water content, canopy height, and leaf area index during SMEX02 using aircraft and Landsat imagery

Martha C. Anderson, J. Norman, W. Kustas, 2004 .

A vegetation index based technique for spatial sharpening of thermal imagery

William P. Kustas, Martha C. Anderson, Christopher M. U. Neale, 2007 .

Detailed mapping of riparian vegetation in the middle Rio Grande River using high resolution multi-spectral airborne remote sensing

Christopher M. U. Neale, O. Z. Akasheh, C. Neale, 2008 .

Vegetation index‐based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems

P. Nagler, E. Glenn, C. Neale, 2011 .

Near‐noon albedo values of alfalfa and tall fescue grass derived from multispectral data

James L. Wright, C. Neale, J. Payero, 2006 .

Crop Coefficients Derived from Reflected Canopy Radiation: A Concept

W. Bausch, C. Neale, 1987 .

Water productivity and crop yield: A simplified remote sensing driven operational approach

T. Arkebauer, C. Neale, A. Suyker, 2018 .

A comparison of operational remote sensing-based models for estimating crop evapotranspiration

Martha C. Anderson, M. P. González-Dugo, W. Kustas, 2009 .

Irrigation evaluation based on performance analysis and water accounting at the Bear River Irrigation Project (U.S.A.)

G. Merkley, S. Lecina, C. Neale, 2011 .

A Framework for Mapping Global Evapotranspiration using 375-m VIIRS LST

Martha C. Anderson, C. Hain, M. Schull, 2017 .

Soil water content estimation using a remote sensing based hybrid evapotranspiration modeling approach

W. Kustas, P. Gowda, J. Alfieri, 2012 .

Land-surface-type classification using microwave brightness temperatures from the Special Sensor Mic

C. Neale, M. Mcfarland, K. Chang, 1990 .

Mapping evapotranspiration with high-resolution aircraft imagery over vineyards using one- and two-source modeling schemes

Martha C. Anderson, F. Gao, W. Kustas, 2015 .

Calibration of a common shortwave multispectral camera system for quantitative agricultural applications

Mitch S Maguire, B. Wardlow, C. Neale, 2019, Precision Agriculture.

Estimating evapotranspiration of arid regions using remotely-sensed data.

C. Neale, S. H. Abdalla, 2007 .

Regional‐scale comparisons of vegetation and soil wetness with surface energy budget properties from satellite and in‐situ observations

Robert M. Rabin, Christopher M. U. Neale, Kevin P. Gallo, 1995 .

Estimation of Turbulent Heat Fluxes by Assimilation of Land Surface Temperature Observations From GOES Satellites Into an Ensemble Kalman Smoother Framework

Tongren Xu, Christopher M. U. Neale, Thomas Auligné, 2018 .

Land surface temperature derived from the SSM/I passive microwave brightness temperatures

Christopher M. U. Neale, R. L. Miller, Marshall J. McFarland, 1990 .

Integrating remotely acquired and field data to assess effects of setback levees on riparian and aquatic habitats in glacial‐melt water rivers

C. Neale, R. Black, F. Voss, 2008 .

Trends in indices for extremes in daily temperature and precipitation over Utah, USA

Christopher M. U. Neale, Bernardo Barbosa da Silva, Carlos Antonio Costa dos Santos, 2011 .

An airborne multispectral video/radiometer remote sensing system: Development and calibration

Blake G. Crowther, Christopher M. U. Neale, C. Neale, 1994 .

High-resolution mapping of river-hydrothermal water mixing: Yellowstone National Park

C. Neale, M. Cardenas, C. Jaworowski, 2011 .

Analyses of the evaporative fraction using eddy covariance and remote sensing techniques

C. Neale, C. Santos, B. B. Silva, 2022 .

Flexible delivery schedules to improve farm irrigation and reduce pressure on groundwater: a case study in southern Italy

L. Pereira, C. Neale, M. Vurro, 2010, Irrigation Science.

INCREASING FIELD WORK PRODUCTIVITY IN IRRIGATION EVALUATION PROCESSES THROUGH THE USE OF COMBINED IRRIGATION MODELS

G. Merkley, S. Lecina, C. Neale, 2009 .

Is row orientation a determinant factor for radiation interception in row vineyards?

C. Neale, A. Calera, I. Campos, 2017 .

Novel hybrid models by coupling support vector regression (SVR) with meta-heuristic algorithms (WOA and GWO) for flood susceptibility mapping

M. Panahi, C. Neale, F. Rezaie, 2022, Natural Hazards.

Application of high‐resolution, remotely sensed data for transient storage modeling parameter estimation

Q. G. Bingham, C. Neale, M. Cardenas, 2012 .

Remote sensing based evapotranspiration modeling for sugarcane in Brazil using a hybrid approach

C. Neale, R. C. Bispo, I. Gonçalves, 2022, Agricultural Water Management.

Application of MODIS images for modeling the energy balance components in the semi-arid conditions of Brazil

C. Neale, R. G. Andrade, F. Hernandez, 2013, Remote Sensing.

Vulnerability of Riparian Vegetation to Catastrophic Flooding: Implications for Riparian Restoration

C. Neale, C. Hawkins, Kate Bartz, 1997 .

Evaluation of a hybrid remote sensingevapotranspiration model for variable rate irrigationmanagement

C. Neale, D. Heeren, J. Barker, 2015 .

Crop response to thermal stress without yield loss in irrigated maize and soybean in Nebraska

Daran R. Rudnick, Y. Ge, S. Evett, 2022, Agricultural Water Management.

Managing spatial irrigation using remote-sensing-based evapotranspiration and soil water adaptive control model

Mitch S Maguire, C. Neale, W. Woldt, 2022, Agricultural Water Management.

Irrigation scheduling using hybrid remote sensing-based evapotranspiration model informed by unmanned aerial system acquired multispectral and thermal imagery

Mitch S Maguire, C. Neale, 2022, Defense + Commercial Sensing.

A Hybrid Surface Energy Balance Approach For The Estimation Of Evapotranspiration In Agricultural Areas

R. D. Ramsey, C. Neale, R. Vinukollu, 2006 .

Simulation of peak-demand hydrographs in pressurized irrigation delivery systems using a deterministic–stochastic combined model. Part II: model applications

G. Merkley, C. Neale, N. Lamaddalena, 2011, Irrigation Science.

Modeling Actual Evapotranspiration with MSI-Sentinel Images and Machine Learning Algorithms

C. Neale, Roberto Filgueiras, E. I. Fernandes-Filho, 2022, Atmosphere.

Novel hybrid models by coupling support vector regression (SVR) with meta-heuristic algorithms (WOA and GWO) for flood susceptibility mapping

M. Panahi, C. Neale, F. Rezaie, 2022, Natural Hazards.

Vulnerability of Riparian Vegetation to Catastrophic Flooding: Implications for Riparian Restoration

C. Neale, C. Hawkins, Kate Bartz, 1997 .

Remote Sensing-Based Evapotranspiration Modeling Using Geesebal for Sugarcane Irrigation Management in Brazil

C. Neale, F. Marin, I. Gonçalves, 2022, SSRN Electronic Journal.

Estimating Seasonal ET from Multispectral Airborne Imagery: An Evaluation of Interpolation-Extrapolation Techniques

K. S. Copeland, P. Gowda, T. Howell, 2008 .

Hybrid-based approaches for the flood susceptibility prediction of Kermanshah province, Iran

M. Panahi, C. Neale, M. Bordbar, 2022, Natural Hazards.

Water balance of irrigated areas: a remote sensing approach

Saleh Taghvaeian, Christopher M. U. Neale, S. Taghvaeian, 2011 .

COMPARISON OF ELEVEN VEGETATION INDICES FOR ESTIMATING PLANT HEIGHT OF ALFALFA AND GRASS

José O. Payero, Christopher M. U. Neale, James L. Wright, 2004 .

Trends of extreme air temperature and precipitation and their impact on corn and soybean yields in Nebraska, USA

M. Mekonnen, C. Neale, G. de Oliveira, 2022, Theoretical and Applied Climatology.

Identifying Sites for Riparian Wetland Restoration: Application of a Model to the Upper Arkansas River Basin

Christopher M. U. Neale, James P. Dobrowolski, Michael P. O'Neill, 1997 .

Energy balance measurements over a banana orchard in the Semiarid region in the Northeast of Brazil

C. Neale, C. Santos, T. Rao, 2009 .

Effects of Surface Heterogeneity Due to Drip Irrigation on Scintillometer Estimates of Sensible, Latent Heat Fluxes and Evapotranspiration over Vineyards

C. Neale, A. Calera, I. Campos, 2019, Water.

An Advanced Method for Deriving Latent Energy Flux from a Scanning Raman Lidar

J. Prueger, W. Eichinger, L. Hipps, 2007 .

On the discrepancy between eddy covariance and lysimetry-based surface flux measurements under strongly advective conditions ☆

Paul D. Colaizzi, Steven R. Evett, Terry A. Howell, 2012 .

Hydrothermal monitoring in Yellowstone National Park using airborne thermal infrared remote sensing

C. Neale, C. Jaworowski, H. Heasler, 2016 .

Cotton canopy reflectance under variable solar zenith angles: Implications of use in evapotranspiration models

M. P. González-Dugo, C. Neale, A. Serrano-Pérez, 2021, Hydrological Processes.

Reflectance-based crop coefficients REDUX: For operational evapotranspiration estimates in the age of high producing hybrid varieties

T. Arkebauer, C. Neale, A. Suyker, 2017 .

Estimating Evapotranspiration of an Apple Orchard Using a Remote Sensing-Based Soil Water Balance

Alfonso Calera, Samuel Ortega-Farías, Carlos Poblete-Echeverría, 2016, Remote. Sens..

Seasonal evapotranspiration estimation using canopy reflectance: a case study involving pink beans.

C. Neale, H. Jayanthi, J. Wright, 2001 .

spectral Inputs Improve Corn Crop Coefficients and Irrigation Scheduling

Christopher M. U. Neale, Walter C. Bausch, W. Bausch, 1990 .

Irrigation water management using high resolution airborne remote sensing

Christopher M. U. Neale, James L. Wright, C. Neale, 2005 .

Airborne remote sensing applications in hydrology and water resources

Christopher M. U. Neale, C. Neale, 2008, Remote Sensing.

A real-time crop classification system for evapotranspiration estimates in irrigated areas

M. P. González-Dugo, C. M. U. Neale, M. P. Gonzalez-Dugo, 2006, SPIE Remote Sensing.

A methodology for conducting diagnostic analyses and operational simulation in large-scale pressurized irrigation systems

Nicola Lamaddalena, Christopher M. U. Neale, Daniele Zaccaria, 2006, SPIE Remote Sensing.

Comparing Aircraft-Based Remotely Sensed Energy Balance Fluxes with Eddy Covariance Tower Data Using Heat Flux Source Area Functions

William P. Kustas, John H. Prueger, Christopher M. U. Neale, 2005 .

Patterns of energy exchange for tropical ecosystems across a climate gradient in Mato Grosso, Brazil

Christopher M. U. Neale, George L. Vourlitis, Francisco de Almeida Lobo, 2015 .

Investigating the influence of roughness length for heat transport (zoh) on the performance of SEBAL in semi-arid irrigated and dryland agricultural systems

Terry A. Howell, Prasanna H. Gowda, George Paul, 2014 .

Comparison of the NLDAS Weather Forcing Model to Agrometeorological Measurements in the western United States

Christopher M. U. Neale, Hatim M. E. Geli, C. Neale, 2014 .

Identifying Sites for Riparian Wetland Restoration: Application of a Model to the Upper Arkansas River Basin

C. Neale, J. Schmidt, J. Dobrowolski, 1997 .

Development of reflectance-based crop coefficients for corn

Dale F. Heermann, D. F. Heermann, Christopher M. U. Neale, 1990 .

Monitoring geothermal activity in Yellowstone National Park using airborne thermal infrared remote sensing

Christopher M. U. Neale, Saravanan Sivarajan, Cheryl Jaworowski, 2009, Remote Sensing.

Crop and Irrigation Water Management Using High Resolution Airborne Remote Sensing

Christopher M. U. Neale, James L. Wright, C. Neale, 2003 .

Fusion of remotely sensed data for soil moisture estimation using relevance vector and support vector machines

Mac McKee, Bushra Zaman, ChristopherM. U. Neale, 2012 .

Final Report to NASA Multi-Satellite Estimates of Land-Surface Properties for Determination of Energy and Water Budgets

W. Paul Menzel, Robert M. Rabin, Christopher M. U. Neale, 1998 .

Assessing geeSEBAL automated calibration and meteorological reanalysis uncertainties to estimate evapotranspiration in subtropical humid climates

W. Collischonn, C. Neale, A. Ruhoff, 2022, Agricultural and Forest Meteorology.

Classification and Mapping of Riparian Systems Using Airborne Multispectral Videography

C. Neale, 1997 .

Estimating evapotranspiration of riparian vegetation using high resolution multispectral, thermal infrared and lidar data

Robert T. Pack, Saleh Taghvaeian, Christopher M. U. Neale, 2011, Remote Sensing.

Evaluating the two-source energy balance model using local thermal and surface flux observations in a strongly advective irrigated agricultural area

Paul D. Colaizzi, Steven R. Evett, Terry A. Howell, 2012 .

Utility of Remote Sensing–Based Two-Source Energy Balance Model under Low- and High-Vegetation Cover Conditions

Thomas J. Jackson, William P. Kustas, John H. Prueger, 2005 .

Tower and Aircraft Eddy Covariance Measurements of Water Vapor, Energy, and Carbon Dioxide Fluxes during SMACEX

William P. Kustas, William E. Eichinger, John H. Prueger, 2005 .

Daily evapotranspiration estimates from extrapolating instantaneous airborne remote sensing ET values

William P. Kustas, John H. Prueger, Christopher M. U. Neale, 2008, Irrigation Science.

Assessment of water demands for irrigation using energy balance and satellite data fusion models in cloud computing: A study in the Brazilian semiarid region

Mitch S Maguire, C. Neale, C. A. D. Dos Santos, 2023, Agricultural Water Management.

Assessing satellite-based basal crop coefficients for irrigated grapes (Vitis vinifera L.)

José González-Piqueras, Alfonso Calera, Isidro Campos, 2010 .

Guidelines for validating Bowen ratio data

José O. Payero, James L. Wright, Richard G. Allen, 2003 .

Evaluation of a Hybrid Reflectance-Based Crop Coefficient and Energy Balance Evapotranspiration Model for Irrigation Management

Andrew E. Suyker, Derek M. Heeren, Christopher M. U. Neale, 2018 .

Feasibility of évapotranspiration monitoring of riparian vegetation with remote sensing

W. Kustas, J. Prueger, W. Eichinger, 2001 .

SNOW WETNESS ESTIMATES OF VEGETATED TERRAIN FROM SATELLITE PASSIVE MICROWAVE DATA

Jeffrey J. McDonnell, Christopher M. U. Neale, Changyi Sun, 1996 .

Assessing landscape scale heterogeneity in irrigation water use with remote sensing and in situ monitoring

C. Neale, C. Neale, N. Brozović, 2019, Environmental Research Letters.

Improving Accuracy of Unmanned Aerial System Thermal Infrared Remote Sensing for Use in Energy Balance Models in Agriculture Applications

Mitch S Maguire, Christopher M. U. Neale, Mitchell S. Maguire, 2021, Remote. Sens..

Determining Large Scale Actual Evapotranspiration Using Agro- Meteorological and Remote Sensing Data in the Northwest of Sao Paulo State, Brazil

S. Taghvaeian, C. Neale, A. Teixeira, 2014 .

Retrieving water productivity parameters by using Landsat images in the Nilo Coelho irrigation scheme, Brazil

Christopher M. U. Neale, Morris Scherer-Warren, Fernando B. T. Hernandez, 2013, Remote Sensing.

Classification and Mapping of Riparian Systems Using Airborne Multispectral Videography

C. Neale, 1997 .

Development OF A Multi-Scale Framework for Mapping Global Evapotranspiration

Martha C. Anderson, C. Hain, M. Schull, 2017 .

Effect of stability correction on remote sensing estimates of near‐noon sensible heat flux of alfalfa and tall fescue grass

C. Neale, J. Payero, J. Wright, 2006 .

Temporal and Seasonal Variations of the Hot Spring Basin Hydrothermal System, Yellowstone National Park, USA

Ashish Masih, Saravanan Sivarajan, Cheryl Jaworowski, 2013, Remote. Sens..

A Simple Empirical Stream Flow Prediction Model for Ungauged Watersheds

P. Gowda, J. L. Chávez, C. Neale, 2007 .

Lysimetric evaluation of SEBAL using high resolution airborne imagery from BEAREX08

P. Gowda, T. Howell, C. Neale, 2013 .

A hybrid approach for estimating spatial evapotranspiration from satellite imagery

M. P. González Dugo, W. P. Kustas, C. M. U. Neale, 2007, SPIE Remote Sensing.

Development and validation of canopy reflectance-based crop coefficient for potato

Christopher M. U. Neale, James L. Wright, C. Neale, 2007 .

ESTIMATING SOIL HEAT FLUX FOR ALFALFA AND CLIPPED TALL FESCUE GRASS

José O. Payero, James L. Wright, Christopher M. U. Neale, 2005 .

Integration and weighting of remotely sensed energy balance fluxes

Christopher M. U. Neale, Jose L. Chavez, Raghuveer Vinukollu, 2005, SPIE Remote Sensing.

Analyzing the effect of shadow on the relationship between ground cover and vegetation indices by using spectral mixture and radiative transfer models

Alfonso Calera, Isidro Campos, Christopher M. U. Neale, 2014 .

Validating Airborne Multispectral Remotely Sensed Heat Fluxes with Ground Energy Balance Tower and Heat Flux Source Area (Footprint) Functions

Christopher M. U. Neale, José L. Chávez, J. L. Chávez, 2003 .

Situational Waste in Landscape Watering: Residential and Business Water Use in an Urban Utah Community 1

Christopher M. U. Neale, Roger Kjelgren, Joanna Endter-Wada, 2008 .

Mapping riparian resources in semiarid watersheds using airborne multispectral imagery

C. Neale, N. Henderson, C. May, 2001 .

Mapping and monitoring wetlands using airborne multispectral imagery

C. Neale, H. Jayanthi, F. Farag, 2007 .

Spatial mapping of evapotranspiration and energy balance components over riparian vegetation using airborne remote sensing

William P. Kustas, William E. Eichinger, John H. Prueger, 2001 .

ET Mapping with High-Resolution Airborne Remote Sensing Data in an Advective Semiarid Environment

Terry A. Howell, Karen S. Copeland, Prasanna H. Gowda, 2012 .

MEASURING EVAPOTRANSPIRATION AND VIRTUAL POTENTIAL HEAT FLUX USING LIDAR

J. Prueger, W. Eichinger, L. Hipps, 2006 .

Unmanned Aerial System-Based Data Ferrying over a Sensor Node Station Network in Maize

Mitch S Maguire, Y. Ge, S. Irmak, 2022, Sensors.

Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai'i

C. Trauernicht, M. Panahi, C. Neale, 2023, Eng. Appl. Artif. Intell..

A Decade of Unmanned Aerial Systems in Irrigated Agriculture in the Western U.S.

Gary W. Marek, Derek M. Heeren, Saleh Taghvaeian, 2020, Applied Engineering in Agriculture.

Spectral Characteristics of Domestic and Wild Mammals

R. D. Ramsey, C. Neale, P. Terletzky, 2012 .

Patch scale turbulence over dryland and irrigated surfaces in a semi-arid landscape under advective conditions during BEAREX08☆

Martha C. Anderson, W. Kustas, J. Alfieri, 2012 .

Multisensoral remote sensing based modelling of the water balance of endorheic lakes on the Tibetan Plateau

P. Krause, M. Cosh, Shi-chang Kang, 2010 .

Spatial and temporal variation in evapotranspiration using Raman lidar

W. Kustas, J. Prueger, W. Eichinger, 2006 .

Remote sensing-based evapotranspiration modeling using geeSEBAL for sugarcane irrigation management in Brazil

C. Neale, F. Marin, I. Gonçalves, 2022, Agricultural Water Management.

Non-water-stressed baselines for calculating crop water stress index (CWSI) for alfalfa and tall fescue grass

José O. Payero, James L. Wright, Christopher M. U. Neale, 2005 .

Estimating hourly crop ET using a two-source energy balance model and multispectral airborne imagery

T. A. Howell, José Luis Chávez, K. S. Copeland, 2009, Irrigation Science.

Mapping field crop evapotranspiration using airborne multispectral imagery

C. Neale, R. H. Ahmed, 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

Evaluating Airborne Remote Sensing ET estimates using Eddy Covariance Systems and a Heat Flux Source Area Function

Paul D. Colaizzi, Terry A. Howell, Prasanna H. Gowda, 2008 .

Toward automated irrigation management with integrated crop water stress index and spatial soil water balance

C. Neale, Geng Bai, S. O'Shaughnessy, 2023, Precision Agriculture.

Abolishing activity against ascorbate in a cytosolic ascorbate peroxidasefrom switchgrass

Martha C. Anderson, K. S. Copeland, W. Kustas, 2012 .

Monitoring land-surface snow conditions from SSM/I data using an artificial neural network classifier

Heng-Da Cheng, Jeffrey J. McDonnell, Christopher M. U. Neale, 1997, IEEE Trans. Geosci. Remote. Sens..