Search Results - "Gowda, Prasanna"

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  1. 1

    Performance of five surface energy balance models for estimating daily evapotranspiration in high biomass sorghum by Wagle, Pradeep, Bhattarai, Nishan, Gowda, Prasanna H., Kakani, Vijaya G.

    “…Robust evapotranspiration (ET) models are required to predict water usage in a variety of terrestrial ecosystems under different geographical and…”
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    Journal Article
  2. 2

    Climate and Management Practices Jointly Control Vegetation Phenology in Native and Introduced Prairie Pastures by Zhou, Yuting, Ma, Shengfang, Wagle, Pradeep, Gowda, Prasanna H.

    Published in Remote sensing (Basel, Switzerland) (01-05-2023)
    “…Climate, human disturbances, and management practices jointly control the spatial and temporal patterns of land surface phenology. However, most studies solely…”
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  3. 3

    Operational Evapotranspiration Mapping Using Remote Sensing and Weather Datasets: A New Parameterization for the SSEB Approach by Senay, Gabriel B., Bohms, Stefanie, Singh, Ramesh K., Gowda, Prasanna H., Velpuri, Naga M., Alemu, Henok, Verdin, James P.

    “…The increasing availability of multi‐scale remotely sensed data and global weather datasets is allowing the estimation of evapotranspiration (ET) at multiple…”
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  4. 4

    Parameterizing ecosystem light use efficiency and water use efficiency to estimate maize gross primary production and evapotranspiration using MODIS EVI by Wagle, Pradeep, Gowda, Prasanna H., Xiao, Xiangming, KC, Anup

    Published in Agricultural and forest meteorology (28-05-2016)
    “…•EVI was explicitly used as a measure of ecosystem light use efficiency (ELUE).•EVI was explicitly used as a measure of ecosystem water use efficiency…”
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  5. 5

    Tallgrass Prairie Responses to Management Practices and Disturbances: A Review by Wagle, Pradeep, Gowda, Prasanna

    Published in Agronomy (Basel) (12-12-2018)
    “…Adoption of better management practices is crucial to lessen the impact of anthropogenic disturbances on tallgrass prairie systems that contribute heavily for…”
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  6. 6

    Validation and application of AquaCrop for irrigated cotton in the Southern Great Plains of US by Masasi, Blessing, Taghvaeian, Saleh, Gowda, Prasanna H., Marek, Gary, Boman, Randy

    Published in Irrigation science (01-11-2020)
    “…Dwindling water resources and weather variability present two of the major limiting factors for irrigated cotton production in the Southern Great Plains (SGP)…”
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  7. 7

    Use of Multiple Environment Variety Trials Data to Simulate Maize Yields in the Ogallala Aquifer Region: A Two Model Approach by Sharda, Vaishali, Mekonnen, Mesfin M., Ray, Chittaranjan, Gowda, Prasanna H.

    “…With a long‐term goal to optimize use of groundwater in the Ogallala Aquifer Region (OAR) to sustain food production systems, this study was conducted to…”
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  8. 8

    U.S. winter wheat yield loss attributed to compound hot-dry-windy events by Zhao, Haidong, Zhang, Lina, Kirkham, M. B., Welch, Stephen M., Nielsen-Gammon, John W., Bai, Guihua, Luo, Jiebo, Andresen, Daniel A., Rice, Charles W., Wan, Nenghan, Lollato, Romulo P., Zheng, Dianfeng, Gowda, Prasanna H., Lin, Xiaomao

    Published in Nature communications (24-11-2022)
    “…Climate extremes cause significant winter wheat yield loss and can cause much greater impacts than single extremes in isolation when multiple extremes occur…”
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  9. 9

    Net ecosystem exchange of CO2 and H2O fluxes from irrigated grain sorghum and maize in the Texas High Plains by Wagle, Pradeep, Gowda, Prasanna H., Moorhead, Jerry E., Marek, Gary W., Brauer, David K.

    Published in The Science of the total environment (01-10-2018)
    “…Net ecosystem exchange (NEE) of carbon dioxide (CO2) and water vapor (H2O) fluxes from irrigated grain sorghum (Sorghum bicolor L. Moench) and maize (Zea mays…”
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  10. 10

    Two-source energy balance model estimates of evapotranspiration using component and composite surface temperatures by Colaizzi, Paul D., Kustas, William P., Anderson, Martha C., Agam, Nurit, Tolk, Judy A., Evett, Steven R., Howell, Terry A., Gowda, Prasanna H., O’Shaughnessy, Susan A.

    Published in Advances in water resources (01-12-2012)
    “…► Two source energy balance model calculates evaporation and transpiration. ► Soil and canopy component temperatures are required but seldom measured. ►…”
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  11. 11

    Simulating the Impacts of Irrigation Levels on Soybean Production in Texas High Plains to Manage Diminishing Groundwater Levels by Sharda, Vaishali, Gowda, Prasanna H., Marek, Gary, Kisekka, Isaya, Ray, Chittaranjan, Adhikari, Pradip

    “…There is an increasing need to strategize and plan irrigation systems under varied climatic conditions to support efficient irrigation practices while…”
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  12. 12

    Predicting Forage Quality of Warm-Season Legumes by Near Infrared Spectroscopy Coupled with Machine Learning Techniques by Baath, Gurjinder S, Baath, Harpinder K, Gowda, Prasanna H, Thomas, Johnson P, Northup, Brian K, Rao, Srinivas C, Singh, Hardeep

    Published in Sensors (Basel, Switzerland) (06-02-2020)
    “…Warm-season legumes have been receiving increased attention as forage resources in the southern United States and other countries. However, the near infrared…”
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  13. 13

    SWAT‐LUT: A Desktop Graphical User Interface for Updating Land Use in SWAT by Moriasi, Daniel N., Pai, Naresh, Steiner, Jean L., Gowda, Prasanna H., Winchell, Michael, Rathjens, Hendrik, Starks, Patrick J., Verser, J. Alan

    “…Long‐term simulations of agricultural watersheds have often been done assuming constant land use over time, but this is not a realistic assumption for many…”
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  14. 14

    Performance Assessment of Five Different Soil Moisture Sensors under Irrigated Field Conditions in Oklahoma by Datta, Sumon, Taghvaeian, Saleh, Ochsner, Tyson E, Moriasi, Daniel, Gowda, Prasanna, Steiner, Jean L

    Published in Sensors (Basel, Switzerland) (05-11-2018)
    “…Meeting the ever-increasing global food, feed, and fiber demands while conserving the quantity and quality of limited agricultural water resources and…”
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  15. 15

    Editorial for the Special Issue “Remote Sensing of Evapotranspiration (ET)” by Wagle, Pradeep, Gowda, Prasanna H.

    Published in Remote sensing (Basel, Switzerland) (01-09-2019)
    “…Evapotranspiration (ET) is a critical component of the water and energy balances, and the number of remote sensing-based ET products and estimation methods has…”
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  16. 16

    Growing season variability in carbon dioxide exchange of irrigated and rainfed soybean in the southern United States by Wagle, Pradeep, Gowda, Prasanna H., Anapalli, Saseendran S., Reddy, Krishna N., Northup, Brian K.

    Published in The Science of the total environment (01-09-2017)
    “…Measurement of carbon dynamics of soybean (Glycine max L.) ecosystems outside Corn Belt of the United States (U.S.) is lacking. This study examines the…”
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  17. 17

    Simulating Soil Water Content, Evapotranspiration, and Yield of Variably Irrigated Grain Sorghum Using AquaCrop by Masasi, Blessing, Taghvaeian, Saleh, Gowda, Prasanna H., Warren, Jason, Marek, Gary

    “…Use of models to simulate crop production has become important in optimizing irrigation management in arid and semiarid regions. However, applicability and…”
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  18. 18

    Evaluation of Sensible Heat Flux and Evapotranspiration Estimates Using a Surface Layer Scintillometer and a Large Weighing Lysimeter by Moorhead, Jerry E, Marek, Gary W, Colaizzi, Paul D, Gowda, Prasanna H, Evett, Steven R, Brauer, David K, Marek, Thomas H, Porter, Dana O

    Published in Sensors (Basel, Switzerland) (14-10-2017)
    “…Accurate estimates of actual crop evapotranspiration (ET) are important for optimal irrigation water management, especially in arid and semi-arid regions…”
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  19. 19

    Growth and physiological responses of three warm-season legumes to water stress by Baath, Gurjinder S., Rocateli, Alexandre C., Kakani, Vijaya Gopal, Singh, Hardeep, Northup, Brian K., Gowda, Prasanna H., Katta, Jhansy R.

    Published in Scientific reports (22-07-2020)
    “…Novel drought-tolerant grain legumes like mothbean ( Vigna acontifolia ), tepary bean ( Phaseolus acutifolius ), and guar ( Cyamopsis tetragonoloba ) may also…”
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  20. 20

    A review of downscaling methods for remote sensing-based irrigation management: part I by Ha, Wonsook, Gowda, Prasanna H., Howell, Terry A.

    Published in Irrigation science (01-07-2013)
    “…High-resolution daily evapotranspiration (ET) maps would greatly improve irrigation management. Numerous ET mapping algorithms have been developed to make use…”
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