Search Results - "Daughtry, Craig S"

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  1. 1

    Comparison of Five Spectral Indices and Six Imagery Classification Techniques for Assessment of Crop Residue Cover Using Four Years of Landsat Imagery by Stern, Alan J., Daughtry, Craig S. T., Hunt, E. Raymond, Gao, Feng

    Published in Remote sensing (Basel, Switzerland) (01-09-2023)
    “…Determining residue cover on agricultural land is an important task. Residue cover helps reduce soil erosion and helps sequester carbon. Many studies have used…”
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    Journal Article
  2. 2

    Mapping Crop Residue and Tillage Intensity Using WorldView-3 Satellite Shortwave Infrared Residue Indices by Hively, W., Lamb, Brian, Daughtry, Craig, Shermeyer, Jacob, McCarty, Gregory, Quemada, Miguel

    Published in Remote sensing (Basel, Switzerland) (01-10-2018)
    “…Crop residues serve many important functions in agricultural conservation including preserving soil moisture, building soil organic carbon, and preventing…”
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    Journal Article
  3. 3

    Chlorophyll Meter Calibrations for Chlorophyll Content Using Measured and Simulated Leaf Transmittances by Hunt, E. Raymond, Daughtry, Craig S. T

    Published in Agronomy journal (01-05-2014)
    “…Konica-Minolta SPAD-502 leaf chlorophyll meters provide a relative value of leaf chlorophyll content, and from the literature, there are considerable…”
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  4. 4

    Diurnal and Seasonal Variations in Chlorophyll Fluorescence Associated with Photosynthesis at Leaf and Canopy Scales by Campbell, Petya K., Huemmrich, Karl F., Middleton, Elizabeth M., Ward, Lauren A., Julitta, Tommaso, Daughtry, Craig S. T., Burkart, Andreas, Russ, Andrew L., Kustas, William P.

    Published in Remote sensing (Basel, Switzerland) (01-03-2019)
    “…There is a critical need for sensitive remote sensing approaches to monitor the parameters governing photosynthesis, at the temporal scales relevant to their…”
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  5. 5

    Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring by Hunt, E. Raymond, Hively, W. Dean, Fujikawa, Stephen J., Linden, David S., Daughtry, Craig S. T., McCarty, Greg W.

    Published in Remote sensing (Basel, Switzerland) (01-01-2010)
    “…Payload size and weight are critical factors for small Unmanned Aerial Vehicles (UAVs). Digital color-infrared photographs were acquired from a single…”
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  6. 6

    Effect of Soil Spectral Properties on Remote Sensing of Crop Residue Cover by Serbin, Guy, Daughtry, Craig S.T, Hunt, E. Raymond Jr, Brown, David J, McCarty, Gregory W

    Published in Soil Science Society of America journal (01-09-2009)
    “…Conservation tillage practices often leave appreciable amounts of crop residues on soil surfaces after harvesting and generally improve soil structure, enhance…”
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  7. 7

    Integrating Solar Induced Fluorescence and the Photochemical Reflectance Index for Estimating Gross Primary Production in a Cornfield by Cheng, Yen-Ben, Middleton, Elizabeth M, Zhang, Qingyuan, Huemmrich, Karl F, Campbell, Petya K. E, Corp, Lawrence A, Cook, Bruce D, Kustas, William P, Daughtry, Craig S

    Published in Remote sensing (Basel, Switzerland) (01-12-2013)
    “…The utilization of remotely sensed observations for light use efficiency (LUE) and tower-based gross primary production (GPP) estimates was studied in a USDA…”
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  8. 8

    Evaluation of SWIR Crop Residue Bands for the Landsat Next Mission by Hively, Wells Dean, Lamb, Brian T., Daughtry, Craig S. T., Serbin, Guy, Dennison, Philip, Kokaly, Raymond F., Wu, Zhuoting

    Published in Remote sensing (Basel, Switzerland) (01-09-2021)
    “…This research reports the findings of a Landsat Next expert review panel that evaluated the use of narrow shortwave infrared (SWIR) reflectance bands to…”
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  9. 9

    What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture? by Hunt, E. Raymond, Daughtry, Craig S. T.

    Published in International journal of remote sensing (18-08-2018)
    “…Remote sensing from unmanned aircraft systems (UAS) was expected to be an important new technology to assist farmers with precision agriculture, especially…”
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  10. 10
  11. 11

    Optimizing Landsat Next Shortwave Infrared Bands for Crop Residue Characterization by Lamb, Brian T., Dennison, Philip E., Hively, W. Dean, Kokaly, Raymond F., Serbin, Guy, Wu, Zhuoting, Dabney, Philip W., Masek, Jeffrey G., Campbell, Michael, Daughtry, Craig S. T.

    Published in Remote sensing (Basel, Switzerland) (01-12-2022)
    “…This study focused on optimizing the placement of shortwave infrared (SWIR) bands for pixel-level estimation of fractional crop residue cover (fR) for the…”
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  12. 12

    Development of a gridded yield data archive for farm management and research at the USDA Beltsville Agricultural Research Center by Dulaney, Wayne P., Anderson, Martha C., Gao, Feng, Stern, Alan, Moglen, Glenn, Meyers, George, Daughtry, Craig S. T., White, William, Akumaga, Uvirkaa, Showalter, Jennifer

    Published in Agrosystems, geosciences & environment (01-03-2024)
    “…High‐quality, gridded maps of crop yield, which discern the spatial variability in productivity across individual farm fields, are extremely valuable in…”
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  13. 13

    Spectral Estimates of Crop Residue Cover and Density for Standing and Flat Wheat Stubble by Aguilar, Jonathan, Evans, Robert, Vigil, Merle, Daughtry, Craig S.T

    Published in Agronomy journal (01-03-2012)
    “…Crop residue is important for erosion control, soil water storage, filling gaps in various agroecosystem-based modeling, and sink for atmospheric carbon. The…”
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  14. 14

    An Improved ASTER Index for Remote Sensing of Crop Residue by Serbin, Guy, Hunt, E. Raymond, Daughtry, Craig S. T., McCarty, Gregory W., Doraiswamy, Paul C.

    Published in Remote sensing (Basel, Switzerland) (01-12-2009)
    “…Unlike traditional ground-based methodology, remote sensing allows for the rapid estimation of crop residue cover (fR). While the Cellulose Absorption Index…”
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  15. 15

    Evaluation of digital photography from model aircraft for remote sensing of crop biomass and nitrogen status by Hunt, E.R. Jr, Cavigelli, M, Daughtry, C.S.T, McMurtrey, J. III, Walthall, C.L

    Published in Precision agriculture (01-08-2005)
    “…Remote sensing is a key technology for precision agriculture to assess actual crop conditions. Commercial, high-spatial-resolution imagery from aircraft and…”
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  16. 16

    Towards estimation of canopy foliar biomass with spectral reflectance measurements by Wang, Lingli, Hunt, E. Raymond, Qu, John J., Hao, Xianjun, Daughtry, Craig S.T.

    Published in Remote sensing of environment (15-03-2011)
    “…Canopy foliar biomass, defined as the product of leaf dry matter content and leaf area index, is an important measurement for global biogeochemical cycles…”
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  17. 17

    Sediment Delivery Estimates in Water Quality Models Altered by Resolution and Source of Topographic Data by Beeson, Peter C, Sadeghi, Ali M, Lang, Megan W, Tomer, Mark D, Daughtry, Craig S. T

    Published in Journal of environmental quality (2014)
    “…Moderate-resolution (30-m) digital elevation models (DEMs) are normally used to estimate slope for the parameterization of non-point source, process-based…”
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  18. 18

    Spectral Reflectance of Wheat Residue during Decomposition and Remotely Sensed Estimates of Residue Cover by Daughtry, Craig S. T., Serbin, Guy, Reeves, James B., Doraiswamy, Paul C., Hunt, Earle Raymond

    Published in Remote sensing (Basel, Switzerland) (01-02-2010)
    “…Remotely sensed estimates of crop residue cover (fR) are required to assess the extent of conservation tillage over large areas; the impact of decay processes…”
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  19. 19

    Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues by Jennewein, Jyoti S., Hively, W., Lamb, Brian T., Daughtry, Craig S. T., Thapa, Resham, Thieme, Alison, Reberg-Horton, Chris, Mirsky, Steven

    Published in Precision agriculture (01-10-2024)
    “…Purpose Cover crops and reduced tillage are two key climate smart agricultural practices that can provide agroecosystem services including improved soil…”
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  20. 20

    Field-scale moisture estimates using COSMOS sensors: A validation study with temporary networks and Leaf-Area-Indices by Coopersmith, Evan J., Cosh, Michael H., Daughtry, Craig S.T.

    Published in Journal of hydrology (Amsterdam) (27-11-2014)
    “…•Compares COSMOS SM field estimates with field averages produced by in situ networks.•COSMOS sensors respond to water stored in vegetation while in situ…”
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