Determining Groundwater Recharge Rate with a Distributed Model and Remote Sensing Techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-022-03315-w.pdf
Reference48 articles.
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2. Abdu HA (2019) Classification accuracy and trend assessments of land cover- land use changes from principal components of land satellite images. Int J Remote Sens 40:1275–1300. https://doi.org/10.1080/01431161.2018.1524587
3. Ahmadi T, Ziaei AN, Rasoulzadeh A et al (2015) Mapping groundwater recharge areas using CRD and RIB methods in the semi-arid Neishaboor Plain. Iran Arabian Journal of Geosciences 8:2921–2935. https://doi.org/10.1007/s12517-014-1321-2
4. Akbari M, Meshram SG, Krishna RS et al (2021) Identification of the groundwater potential recharge zones using MCDM models: Full Consistency Method (FUCOM), Best Worst Method (BWM) and Analytic Hierarchy Process (AHP). Water Resour Manage 35:4727–4745. https://doi.org/10.1007/s11269-021-02924-1
5. Allen RG, Tasumi M, Morse A et al (2007) Satellite-based energy balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Applications. J Irrig Drain Eng 133:395–406. https://doi.org/10.1061/(asce)0733-9437(2007)133:4(395)
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