Christopher M U Neale
Christopher M U Neale
University of Nebraska, Daugherty Water for Food Global Institute
Verified email at nebraska.edu
Title
Cited by
Cited by
Year
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
3162007
Development of reflectance-based crop coefficients for corn
CMU Neale, WC Bausch, DF Heermann
Transactions of the ASAE 32 (6), 1891-1900, 1990
2291990
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
2262004
Crop coefficients derived from reflected canopy radiation: a concept
WC Bausch, CMU Neale
Transactions of the ASAE 30 (3), 703-0709, 1987
2151987
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
2112009
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
2111990
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
2052005
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
1921989
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
1812011
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
1591990
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
1432010
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
1202008
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
1202005
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
1191997
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
1162019
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
1012011
An airborne multispectral video/radiometer remote sensing system: development and calibration
CMU Neale, BG Crowther
Remote Sensing of Environment 49 (3), 187-194, 1994
971994
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
952008
Comparison of eleven vegetation indices for estimating plant height of alfalfa and grass
JO Payero, CMU Neale, JL Wright
Applied Engineering in Agriculture 20 (3), 385, 2004
842004
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
822017
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