Christopher M U Neale
Christopher M U Neale
University of Nebraska, Daugherty Water for Food Global Institute
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A vegetation index based technique for spatial sharpening of thermal imagery
N Agam, WP Kustas, MC Anderson, F Li, CMU Neale
Remote Sensing of Environment 107 (4), 545-558, 2007
Development of reflectance-based crop coefficients for corn
CMU Neale, WC Bausch, DF Heermann
Transactions of the ASAE 32 (6), 1891-1900, 1990
Upscaling ground observations of vegetation water content, canopy height, and leaf area index during SMEX02 using aircraft and Landsat imagery
MC Anderson, CMU Neale, F Li, JM Norman, WP Kustas, H Jayanthi, ...
Remote sensing of environment 92 (4), 447-464, 2004
A comparison of operational remote sensing-based models for estimating crop evapotranspiration
MP Gonzalez-Dugo, CMU Neale, L Mateos, WP Kustas, JH Prueger, ...
Agricultural and Forest Meteorology 149 (11), 1843-1853, 2009
Crop coefficients derived from reflected canopy radiation: a concept
WC Bausch, CMU Neale
Transactions of the ASAE 30 (3), 703-0709, 1987
Utility of remote sensing–based two-source energy balance model under low-and high-vegetation cover conditions
F Li, WP Kustas, JH Prueger, CMU Neale, TJ Jackson
Journal of Hydrometeorology 6 (6), 878-891, 2005
Land surface temperature derived from the SSM/I passive microwave brightness temperatures
MJ McFarland, RL Miller, CMU Neale
IEEE Transactions on Geoscience and Remote Sensing 28 (5), 839-845, 1990
Vegetation index‐based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems
EP Glenn, CMU Neale, DJ Hunsaker, PL Nagler
Hydrological Processes 25 (26), 4050-4062, 2011
Fetch requirements for Bowen ratio measurements of latent and sensible heat fluxes
JL Heilman, CL Brittin, CMU Neale
Agricultural and Forest Meteorology 44 (3-4), 261-273, 1989
Twenty-three unsolved problems in hydrology (UPH)–a community perspective
G Blöschl, MFP Bierkens, A Chambel, C Cudennec, G Destouni, A Fiori, ...
Hydrological sciences journal 64 (10), 1141-1158, 2019
Land-surface-type classification using microwave brightness temperatures from the Special Sensor Microwave/Imager
CMU Neale, MJ Mcfarland, K Chang
IEEE Transactions on Geoscience and Remote Sensing 28 (5), 829-838, 1990
Assessing satellite-based basal crop coefficients for irrigated grapes (Vitis vinifera L.)
I Campos, CMU Neale, A Calera, C Balbontín, J González-Piqueras
Agricultural Water Management 98 (1), 45-54, 2010
Daily evapotranspiration estimates from extrapolating instantaneous airborne remote sensing ET values
JL Chávez, CMU Neale, JH Prueger, WP Kustas
Irrigation Science 27 (1), 67-81, 2008
Combining multifrequency microwave and optical data for crop management
MS Moran, A Vidal, D Troufleau, J Qi, TR Clarke, PJ Pinter Jr, TA Mitchell, ...
Remote Sensing of Environment 61 (1), 96-109, 1997
Comparing aircraft-based remotely sensed energy balance fluxes with eddy covariance tower data using heat flux source area functions
JL Chávez, CMU Neale, LE Hipps, JH Prueger, WP Kustas
Journal of Hydrometeorology 6 (6), 923-940, 2005
Trends in indices for extremes in daily temperature and precipitation over Utah, USA
CAC Dos Santos, CMU Neale, TVR Rao, BB Da Silva
International Journal of Climatology 31 (12), 1813-1822, 2011
AquaCrop-OS: An open source version of FAO's crop water productivity model
T Foster, N Brozović, AP Butler, CMU Neale, D Raes, P Steduto, ...
Agricultural Water Management 181, 18-22, 2017
An airborne multispectral video/radiometer remote sensing system: development and calibration
CMU Neale, BG Crowther
Remote Sensing of Environment 49 (3), 187-194, 1994
Situational Waste in Landscape Watering: Residential and Business Water Use in an Urban Utah Community1
J Endter‐Wada, J Kurtzman, SP Keenan, RK Kjelgren, CMU Neale
JAWRA Journal of the American Water Resources Association 44 (4), 902-920, 2008
Patterns of energy exchange for tropical ecosystems across a climate gradient in Mato Grosso, Brazil
MS Biudes, GL Vourlitis, NG Machado, PHZ de Arruda, GAR Neves, ...
Agricultural and Forest Meteorology 202, 112-124, 2015
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