Search Results - "Neale, C. M. U"

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  1. 1

    Assessing landscape scale heterogeneity in irrigation water use with remote sensing and in situ monitoring by Foster, T, Gonçalves, I Z, Campos, I, Neale, C M U, Brozovi, N

    Published in Environmental research letters (25-01-2019)
    “…Understanding how irrigation is used across agricultural landscapes is essential to support efforts to grow more food while reducing pressures on limited…”
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    Journal Article
  2. 2

    Irrigation Advisory Service and Performance Indicators in Baixo Acaraú Irrigation District, Brazil by Corcoles, J. I., Frizzone, J. A., Lima, S. C. R. V., Mateos, L., Neale, C. M. U., Snyder, R. L., Souza, F.

    Published in Irrigation and drainage (01-02-2016)
    “…Several decision support systems have been developed and many of them are focused on efficient use of water and energy resources. These include the Irrigation…”
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    Journal Article
  3. 3

    Estimating hourly crop ET using a two-source energy balance model and multispectral airborne imagery by Chávez, José Luis, Gowda, P. H, Howell, T. A, Neale, C. M. U, Copeland, K. S

    Published in Irrigation science (01-11-2009)
    “…Efficient water use through improved irrigation scheduling is expected to moderate fast declining groundwater levels and improve sustainability of the Ogallala…”
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    Journal Article
  4. 4

    A comparison of operational remote sensing-based models for estimating crop evapotranspiration by Gonzalez-Dugo, M.P., Neale, C.M.U., Mateos, L., Kustas, W.P., Prueger, J.H., Anderson, M.C., Li, F.

    Published in Agricultural and forest meteorology (03-11-2009)
    “…The integration of remotely sensed data into models of evapotranspiration (ET) facilitates the estimation of water consumption across agricultural regions. To…”
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    Journal Article
  5. 5

    Estimation of Turbulent Heat Fluxes by Assimilation of Land Surface Temperature Observations From GOES Satellites Into an Ensemble Kalman Smoother Framework by Xu, Tongren, Bateni, S. M., Neale, C. M. U., Auligne, T., Liu, Shaomin

    “…In different studies, land surface temperature (LST) observations have been assimilated into the variational data assimilation (VDA) approaches to estimate…”
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    Journal Article
  6. 6

    Upscaling ground observations of vegetation water content, canopy height, and leaf area index during SMEX02 using aircraft and Landsat imagery by Anderson, M.C., Neale, C.M.U., Li, F., Norman, J.M., Kustas, W.P., Jayanthi, H., Chavez, J.

    Published in Remote sensing of environment (30-09-2004)
    “…Microwave-based remote sensing algorithms for mapping soil moisture are sensitive to water contained in surface vegetation at moderate levels of canopy cover…”
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    Journal Article Conference Proceeding
  7. 7

    Near-noon albedo values of alfalfa and tall fescue grass derived from multispectral data by Payero, J. O., Neale, C. M. U., Wright, J. L.

    Published in International journal of remote sensing (10-02-2006)
    “…A remote sensing approach was applied to estimate near-noon values of shortwave albedo (α), the fraction of solar radiation reflected by a surface, for alfalfa…”
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    Journal Article
  8. 8

    Effect of stability correction on remote sensing estimates of near-noon sensible heat flux of alfalfa and tall fescue grass by Payero, J. O., Neale, C. M. U., Wright, J. L.

    Published in International journal of remote sensing (20-01-2006)
    “…Sensible heat flux (H) can be an important component of the energy balance of earth surfaces, especially under dry soil conditions and incomplete canopy cover…”
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    Journal Article
  9. 9

    Application of high-resolution, remotely sensed data for transient storage modeling parameter estimation by Bingham, Q. G., Neilson, B. T., Neale, C. M. U., Cardenas, M. B.

    Published in Water resources research (01-08-2012)
    “…This paper presents a method that uses high‐resolution multispectral and thermal infrared imagery from airborne remote sensing for estimating two model…”
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    Journal Article
  10. 10

    Detailed mapping of riparian vegetation in the middle Rio Grande River using high resolution multi-spectral airborne remote sensing by Akasheh, O.Z., Neale, C.M.U., Jayanthi, H.

    Published in Journal of arid environments (01-09-2008)
    “…This paper describes procedures used to map riparian vegetation in the middle Rio Grande River, New Mexico. Airborne multi-spectral digital images were…”
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    Journal Article
  11. 11

    ET Mapping with High-Resolution Airborne Remote Sensing Data in an Advective Semiarid Environment by Chávez, J. L, Gowda, P. H, Howell, T. A, Garcia, L. A, Copeland, K. S, Neale, C. M. U

    “…AbstractAccurate estimates of spatially distributed evapotranspiration (ET) are essential for managing water in irrigated regions and for hydrologic modeling…”
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    Journal Article
  12. 12

    Irrigation evaluation based on performance analysis and water accounting at the Bear River Irrigation Project (U.S.A.) by Lecina, S., Neale, C.M.U., Merkley, G.P., Dos Santos, C.A.C.

    Published in Agricultural water management (01-07-2011)
    “…► Evaluation of irrigated areas based only on efficiencies can lead to misconceptions. ► Productivities should be considered to assess irrigation performance…”
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    Journal Article
  13. 13

    Tower and Aircraft Eddy Covariance Measurements of Water Vapor, Energy, and Carbon Dioxide Fluxes during SMACEX by Prueger, J. H., Hatfield, J. L., Kustas, W. P., Hipps, L. E., MacPherson, J. I., Neale, C. M. U., Eichinger, W. E., Cooper, D. I., Parkin, T. B.

    Published in Journal of hydrometeorology (01-12-2005)
    “…A network of eddy covariance (EC) and micrometeorological flux (METFLUX) stations over corn (Zea maysL.) and soybean [Glycine max(L.) Merr.] canopies was…”
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    Journal Article
  14. 14

    Advanced Method for Deriving Latent Energy Flux from a Scanning Raman Lidar by Cooper, D.I, Eichinger, W.E, Archuleta, J, Hipps, L, Neale, C.M.U, Prueger, J.H

    Published in Agronomy journal (2007)
    “…One of the fundamental issues with lidar-derived evapotranspiration estimates is its reliance on tower-based measurements of Monin-Obukhov similarity…”
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    Journal Article
  15. 15

    AquaCrop-OS: An open source version of FAO's crop water productivity model by Foster, T., Brozović, N., Butler, A.P., Neale, C.M.U., Raes, D., Steduto, P., Fereres, E., Hsiao, T.C.

    Published in Agricultural water management (01-02-2017)
    “…•AquaCrop-OS is a free, open-source version of the FAO AquaCrop model.•AquaCrop-OS reproduces accurately AquaCrop calculations and outputs.•AquaCrop-OS enables…”
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    Journal Article
  16. 16

    Combining multifrequency microwave and optical data for crop management by Moran, M.S., Vidal, A., Troufleau, D., Qi, J., Clarke, T.R., Pinter, P.J., Mitchell, T.A., Inoue, Y., Neale, C.M.U.

    Published in Remote sensing of environment (01-07-1997)
    “…The potential for the combined use of microwave and optical data for crop management is explored with the use of images acquired in the visible, near-infrared,…”
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    Journal Article
  17. 17

    Remote sensing based evapotranspiration modeling for sugarcane in Brazil using a hybrid approach by Bispo, R.C., Hernandez, F.B.T., Gonçalves, I.Z., Neale, C.M.U., Teixeira, A.H.C.

    Published in Agricultural water management (01-09-2022)
    “…The increasing pressure on water resources in agricultural areas requires the implementation of innovative tools and solutions to improve irrigation water…”
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    Journal Article
  18. 18

    Hydrothermal monitoring in Yellowstone National Park using airborne thermal infrared remote sensing by Neale, C.M.U., Jaworowski, C., Heasler, H., Sivarajan, S., Masih, A.

    Published in Remote sensing of environment (01-10-2016)
    “…This paper describes the image acquisition and processing methodology, including surface emissivity and atmospheric corrections, for generating surface…”
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    Journal Article
  19. 19

    Characteristic length scale of input data in distributed models: implications for modeling grid size by Artan, G.A, Neale, C.M.U, Tarboton, D.G

    Published in Journal of hydrology (Amsterdam) (31-01-2000)
    “…The appropriate spatial scale for a distributed energy balance model was investigated by: (a) determining the scale of variability associated with the remotely…”
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    Journal Article
  20. 20

    Remote sensing-based evapotranspiration modeling using geeSEBAL for sugarcane irrigation management in Brazil by Gonçalves, I.Z., Ruhoff, A., Laipelt, L., Bispo, R.C., Hernandez, F.B.T., Neale, C.M.U., Teixeira, A.H.C., Marin, F.R.

    Published in Agricultural water management (01-12-2022)
    “…Irrigated agriculture requires the implementation of innovative tools to improve irrigation water management and accurate estimation of actual…”
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    Journal Article