What is he best known for?
The fields of study he is best known for:
- Agriculture
- Meteorology
- Hydrology
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 most cited work include:
- A vegetation index based technique for spatial sharpening of thermal imagery (262 citations)
- Utility of Remote Sensing–Based Two-Source Energy Balance Model under Low- and High-Vegetation Cover Conditions (181 citations)
- Upscaling ground observations of vegetation water content, canopy height, and leaf area index during SMEX02 using aircraft and Landsat imagery (180 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Remote sensing (34.15%)
- Evapotranspiration (32.52%)
- Hydrology (28.46%)
What were the highlights of his more recent work (between 2017-2021)?
- Evapotranspiration (32.52%)
- Atmospheric sciences (10.57%)
- Remote sensing (34.15%)
In recent papers he was focusing on the following fields of study:
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.
Between 2017 and 2021, his most popular works were:
- Twenty-three unsolved problems in hydrology (UPH)–a community perspective (144 citations)
- Water productivity and crop yield: A simplified remote sensing driven operational approach (28 citations)
- Water, Energy, and Carbon Footprints of Bioethanol from the U.S. and Brazil. (25 citations)
In his most recent research, the most cited papers focused on:
- Agriculture
- Meteorology
- Statistics
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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