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Evaluation of Global Gridded Evapotranspiration Datasets across the Upper Indus Basin, Pakistan by Using Remote Sensing and GIS

  1. 1.
    0581665 - ÚI 2024 PK eng A - Abstrakt
    Ali, H. - Yaseen, M. - Shahid, S. U. - Latif, Yasir - Abbas, S.
    Evaluation of Global Gridded Evapotranspiration Datasets across the Upper Indus Basin, Pakistan by Using Remote Sensing and GIS.
    Abstract Book of 4th International Conference on Emerging Trends in Earth & Environmental Sciences (ETEES 2023). Lahore: College of Earth and Environmental Sciences, University of the Punjab, 2023. s. 49-49.
    [ETEES 2023: International Conference on Emerging Trends in Earth & Environmental Sciences /4./. 04.12.2023-06.12.2023, Lahore]
    Institucionální podpora: RVO:67985807
    Klíčová slova: Evapotranspiration * Upper Indus Basin * MODIS
    http://cees.edu.pk/wp-content/uploads/2023/12/ETEES-2023-CONFERENCE-PROGRAM.pdf

    Achieving water security in poorly gauged basins is critically hindered by a lack of in situ river discharge data to assess past, current, and future evolution of water resources. To overcome this challenge, there has been a shift towards the use of freely available satellite and reanalysis data products. Estimating evapotranspiration (ET), the main water output flux within basins, is an important step in assessing hydrological changes and water availability. However, direct measurements of ET are challenging, especially for large regions. Global products now provide gridded estimates of ET at different temporal resolution, each with its own method of estimating ET based on various data sources. In this study we estimated the spatiotemporal Evapotranspiration (ET) in Upper Indus Basin by MODIS data model using Remote Sensing satellite images from USGS. Zonation map of Evapotranspiration (EP) by using remote sensing and geographic information system. Actual Evapotranspiration is the one measured through using METRIC model approach by either completely or partially resolving the energy balance equation. A satellite image-based processing model uses images from satellite and calculates Evapotranspiration as an additional outcome balancing of the surface energy. The results of this study indicated that highest evapotranspiration (61.95mm) was observed in the month of May during the year 2020 and the minimum evapotranspiration(15.24mm) was found in the month of January in year of 2020. In the year of 2010 the highest evapotranspiration was found in the month of August (65.62 mm) and the minimum mean monthly evapotranspiration was found in the month of December (5.02mm) in the year of 2010. The minimum mean monthly evapotranspiration was observe in the year of 2000, which was in the month of November (7.350mm) and the maximum Monthly Evapotranspiration was in the month of August which are approximately (46.540mm).The result were compared by MODIS data and Climate Engine data. The results from this study suggest that gridded ET products are a useful source of data for assessing water security in poorly gauged basins.
    Trvalý link: https://hdl.handle.net/11104/0349771

     
     
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