Search Results - "Ellenburg, W. Lee"

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  1. 1

    Detecting Desert Locust Breeding Grounds: A Satellite-Assisted Modeling Approach by Ellenburg, W. Lee, Mishra, Vikalp, Roberts, Jason B., Limaye, Ashutosh S., Case, Jonathan L., Blankenship, Clay B., Cressman, Keith

    Published in Remote sensing (Basel, Switzerland) (01-04-2021)
    “…The objective of this study is to evaluate the ability of soil physical characteristics (i.e., texture and moisture conditions) to better understand the…”
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    Journal Article
  2. 2

    Analysis of a Short-Term and a Seasonal Precipitation Forecast over Kenya by Miller, Sara, Mishra, Vikalp, Ellenburg, W. Lee, Adams, Emily, Roberts, Jason, Limaye, Ashutosh, Griffin, Robert

    Published in Atmosphere (01-11-2021)
    “…Kenya is highly dependent on precipitation for both food and water security. Farmers and pastoralists rely on rain to provide water for crops and vegetation to…”
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  3. 3

    Enabling Stakeholder Decision-Making With Earth Observation and Modeling Data Using Tethys Platform by Nelson, E. James, Pulla, Sarva T., Matin, Mir A., Shakya, Kiran, Jones, Norm, Ames, Daniel P., Ellenburg, W. Lee, Markert, Kel N., David, Cédric H., Zaitchik, Benjamin F., Gatlin, Patrick, Hales, Riley

    Published in Frontiers in environmental science (09-10-2019)
    “…Tethys Platform is an open source framework for developing web-based applications for Earth Observation data. Our experience shows that Tethys significantly…”
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  4. 4

    Evaluation of a Regional Crop Model Implementation for Sub-National Yield Assessments in Kenya by Ellenburg, W Lee, Miller, Sara E, Mishra, Vikalp, Ndungu, Lilian, Adams, Emily, Das, Narendra, Andreadis, Konstantinos M, Limaye, Ashutosh

    Published in Agricultural systems (01-02-2024)
    “…CONTEXT: Cropping system models can be used to both assess regional food security and to monitor and predict agricultural drought. Agriculture in Kenya is…”
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  5. 5

    Performance evaluation of soil moisture profile estimation through entropy-based and exponential filter models by Mishra, Vikalp, Ellenburg, W. Lee, Markert, Kel N., Limaye, Ashutosh S.

    Published in Hydrological sciences journal (25-04-2020)
    “…In this study we analyzed two models commonly used in remote sensing-based root-zone soil moisture (SM) estimations: one utilizing the exponential decaying…”
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  6. 6

    An Initial Assessment of a SMAP Soil Moisture Disaggregation Scheme Using TIR Surface Evaporation Data over the Continental United States by Mishra, Vikalp, Ellenburg, W Lee, Griffin, Robert E, Mecikalski, John R, Cruise, James F, Hain, Christopher R, Anderson, Martha C

    Published in ITC journal (01-06-2018)
    “…The Soil Moisture Active Passive (SMAP) mission is dedicated toward global soil moisture mapping. Typically, an L-band microwave radiometer has spatial…”
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  7. 7

    Assessment of a Spatially and Temporally Consistent MODIS Derived NDVI Product for Application in Index-Based Drought Insurance by Miller, Sara E., Adams, Emily C., Markert, Kel N., Ndungu, Lilian, Ellenburg, W. Lee, Anderson, Eric R., Kyuma, Richard, Limaye, Ashutosh, Griffin, Robert, Irwin, Daniel

    Published in Remote sensing (Basel, Switzerland) (01-09-2020)
    “…In arid and semi-arid regions of Eastern and Southern Africa, drought can be devastating to pastoralists who depend on healthy vegetation for their herds. The…”
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  8. 8

    The role of evapotranspiration in streamflow modeling – An analysis using entropy by Ellenburg, W. Lee, Cruise, J.F., Singh, Vijay P.

    Published in Journal of hydrology (Amsterdam) (01-12-2018)
    “…•Entropy was used to identify relationships between hydrologic variables.•Two separate ET datasets were analyzed with respect to streamflow.•Uncertainty in…”
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    Journal Article
  9. 9

    A statistical evaluation of Earth-observation-based composite drought indices for a localized assessment of agricultural drought in Pakistan by Schwartz, Caily, Ellenburg, W. Lee, Mishra, Vikalp, Mayer, Timothy, Griffin, Robert, Qamer, Faisal, Matin, Mir, Tadesse, Tsegaye

    “…•Composite drought indices were assessed with wheat production as a proxy of drought.•Earth observations and model outputs can identify drought in arid…”
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