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Extracting Soil Water Holding Capacity Parameters of a Distributed Agro-Hydrological Model from High Resolution Optical Satellite Observations Series.

, , , , , , , , , , , , , , , , и . Remote. Sens., 8 (2): 154 (2016)

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Ahmad Al-Chikh

Hassan Al-Ahmad

Hussein Al-Ahmad

Ahmad al- Malabeh

 

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Evaluation of SMOS, SMAP, ASCAT and Sentinel-1 Soil Moisture Products at Sites in Southwestern France., , , , , , , , и . Remote. Sens., 10 (4): 569 (2018)Extracting Soil Water Holding Capacity Parameters of a Distributed Agro-Hydrological Model from High Resolution Optical Satellite Observations Series., , , , , , , , , и 7 other автор(ы). Remote. Sens., 8 (2): 154 (2016)Copula-Based Downscaling of Coarse-Scale Soil Moisture Observations With Implicit Bias Correction., , , , , , , , , и 5 other автор(ы). IEEE Trans. Geosci. Remote. Sens., 53 (6): 3507-3521 (2015)3D modeling of radiative transfer and energy balance in urban canopies combined to remote sensing acquisitions., , , , , , , , , и 3 other автор(ы). IGARSS, стр. 6738-6741. IEEE, (2016)Modeling specular reflectance and polarization in DART model for simulating remote sensing images of natural and urban landscapes., , , , , , , , , и . ATSIP, стр. 517-522. IEEE, (2016)Time series of urban radiative budget maps derived from EO satellites using a physical remote sensing model., , , , , , , , , и 1 other автор(ы). ATSIP, стр. 1-4. IEEE, (2018)Is vegetation optical depth needed to estimate biomass from passive microwave radiometers? A statistical study using neural networks., , , , , , и . IGARSS, стр. 5496-5499. IEEE, (2019)A Follow-Up for the Soil Moisture and Ocean Salinity Mission., , , , , , , , , и 15 other автор(ы). IGARSS, стр. 7831-7834. IEEE, (2021)An Initial Assessment of SMOS Derived Soil Moisture over the Continental United States., , , , , и . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 5 (5): 1448-1457 (2012)SMOS Retrieval Results Over Forests: Comparisons With Independent Measurements., , , , , и . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (9): 3858-3866 (2014)