Christopher M. U. Neale mostly deals with Remote sensing, Hydrology, Evapotranspiration, Canopy and Energy balance. The concepts of his Remote sensing study are interwoven with issues in Snow, Brightness, Plant cover and Water content. In general Hydrology, his work in Bowen ratio is often linked to Spite, Diversity and Discipline linking many areas of study.
His work deals with themes such as Water balance, Lysimeter and Water resources, which intersect with Evapotranspiration. Christopher M. U. Neale has researched Canopy in several fields, including Thematic Mapper, Leaf area index and Crop coefficient. His biological study spans a wide range of topics, including Latent heat, Eddy covariance and Sensible heat.
His main research concerns Remote sensing, Evapotranspiration, Hydrology, Remote sensing and Irrigation. Remote sensing is closely attributed to Snow in his study. His Evapotranspiration research incorporates themes from Latent heat, Water balance, Eddy covariance and Energy balance.
His study looks at the intersection of Hydrology and topics like Vegetation with Ground truth. His Remote sensing study combines topics from a wide range of disciplines, such as Agriculture, Hydrology and Water resource management. His Crop coefficient research incorporates elements of Irrigation scheduling, Canopy and Center pivot irrigation.
His scientific interests lie mostly in Evapotranspiration, Atmospheric sciences, Remote sensing, Irrigation and Crop coefficient. To a larger extent, he studies Hydrology with the aim of understanding Evapotranspiration. The study incorporates disciplines such as Public consultation and Vegetation in addition to Hydrology.
Christopher M. U. Neale has included themes like Agriculture and Linear regression in his Remote sensing study. His studies examine the connections between Irrigation and genetics, as well as such issues in Water resource management, with regards to Ecosystem, Irrigation water and In situ. The various areas that Christopher M. U. Neale examines in his Crop coefficient study include Center pivot irrigation, Crop yield, Canopy and Irrigation scheduling.
Christopher M. U. Neale spends much of his time researching Evapotranspiration, Atmospheric sciences, Irrigation, Crop coefficient and Center pivot irrigation. His Evapotranspiration research includes elements of Water balance and Remote sensing. His research in Remote sensing intersects with topics in Random forest and Linear regression.
His Atmospheric sciences research integrates issues from Energy balance, Eddy covariance, Turbulent heat and Data assimilation. His Irrigation study combines topics from a wide range of disciplines, such as Remote sensing and Water resource management. His study in Crop coefficient is interdisciplinary in nature, drawing from both Canopy and Crop yield.
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A vegetation index based technique for spatial sharpening of thermal imagery
Nurit Agam;William P. Kustas;Martha C. Anderson;Fuqin Li.
Remote Sensing of Environment (2007)
Twenty-three unsolved problems in hydrology (UPH)–a community perspective
Günter Blöschl;Marc F.P. Bierkens;Antonio Chambel;Christophe Cudennec.
Development of reflectance-based crop coefficients for corn
Christopher M. U. Neale;Walter C. Bausch;Dale F. Heermann.
Transactions of the ASABE (1990)
Upscaling ground observations of vegetation water content, canopy height, and leaf area index during SMEX02 using aircraft and Landsat imagery
M.C. Anderson;C.M.U. Neale;F. Li;J.M. Norman.
Remote Sensing of Environment (2004)
Crop Coefficients Derived from Reflected Canopy Radiation: A Concept
Walter C. Bausch;Christopher M. U. Neale.
Transactions of the ASABE (1987)
A comparison of operational remote sensing-based models for estimating crop evapotranspiration
M.P. Gonzalez-Dugo;C.M.U. Neale;L. Mateos;W.P. Kustas.
Agricultural and Forest Meteorology (2009)
Utility of Remote Sensing–Based Two-Source Energy Balance Model under Low- and High-Vegetation Cover Conditions
Fuqin Li;William P. Kustas;John H. Prueger;Christopher M. U. Neale.
Journal of Hydrometeorology (2005)
Land surface temperature derived from the SSM/I passive microwave brightness temperatures
M.J. McFarland;R.L. Miller;C.M.U. Neale.
IEEE Transactions on Geoscience and Remote Sensing (1990)
Vegetation index-based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems
Edward P. Glenn;Christopher M. U. Neale;Doug J. Hunsaker;Pamela L. Nagler.
Hydrological Processes (2011)
Fetch requirements for bowen ratio measurements of latent and sensible heat fluxes
J.L. Heilman;C.L. Brittin;C.M.U. Neale.
Agricultural and Forest Meteorology (1989)
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