Yazar "Tombul, Mustafa" seçeneğine göre listele

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    Calibration of METRIC Modeling for Evapotranspiration Estimation Using Landsat 8 Imagery Data
    (SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS, 2022) Barış, Mesut; Tombul, Mustafa
    Water resources management needs efcient tools to estimate the rate of water loss through evapotranspiration (ET). High resolution spatial imagery has provided a valuable source of data which their implementation in well-tuned models has the potential of evapotranspiration rate estimations with satisfactory accuracy. Mapping evapotranspiration at high resolution with internalized calibration (METRIC) is basically an energy balance model which has shown a good performance in diferent applications. The model needs to be calibrated for various source of spatial data and with the introduction of new empirical correlations for numerous variables which are used in the model, the model is recalibrated for Landsat 8 multispectral image and applied to intensively cultivated agriculture lands in Alpu (Eskisehir, Turkey). In previous studies, the correlations from previous studies were referenced where the procedure was confusing for many users. In this work, a descriptive step by step procedure is also provided. The meteorological 24 h relative ET was then used to spread the instant ET (at image capture time) estimation into daily 24 h estimation. This approach reduces the errors from multiple correlations and to some extent the efect of short variations like partial cloud coverage.
  • Küçük Resim
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    A review on models, products and techniques for evapotranspiration measurement, estimation, and validation
    (Wiley, 2024) Baris, Mesut; Tombul, Mustafa
    In this review study, the major available methods for measurement and estimation of evapotranspiration (ET) are discussed briefly while explaining the latest developments. The best available validation methods are also reviewed and explained. It highlights the importance of accurate ET quantification in managing water resources, evaluating climate change impacts, and supporting crop water requirement management. Measurement methods such as scintillometry, lysimetry, and the eddy covariance (EC) flux method are presented. Additionally, hydrological models are discussed as estimation approaches for actual and potential ET. The paper explores various ET estimation products, particularly those based on remote sensing techniques. Specifically, methods like Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC), Simplified Surface Energy Balance Operational (SSEBop ET), Moderate Resolution Imaging Spectroradiometer (MOD16), Surface Energy Balance Algorithm for Land (SEBAL), Global Land Surface Evaporation: Amsterdam Methodology (GLEAM), Satellite Application Facility on Land Surface Analysis (LSA-SAF), and Global Land Data Assimilation System (GLDAS) are described. The integration of machine learning (ML) with EC and remote sensing is investigated, with a comprehensive discussion of different ML approaches. Validation methods including the EC method, water balance method-derived ET (WBET), and statistical techniques are explained. Overall, this review paper provides a comprehensive overview of ET quantification, covering measurement techniques, estimation approaches, remote sensing methods, and the integration of ML. The insights gained from this review contribute to a profound knowledge of ET dynamics and helps those sectors dealing with drought monitoring, water resource management and climate change assessments.