Publications

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Journal Papers:

  • Afshar, M.H., Al-Yaari. (2023) Downscaling of vegetation optical depth through synergistic use of radar Sentinel-1 and optical Sentinel-2 imageries, Remote Sensing (Under Preparation).
  • Afshar, M.H., Warner, S., Morris, R., Penfield, S., O’Neill, C. (2023) Calibration of Apsim-Canola crop model using different optimization techniques based on synthetically generated observations, Agronomy Journal, (Under Preparation).
  • Sorman, A.U., Afshar, M.H., Tosunoglu, F. (2023) Probabilistic approach for simulating and forecasting wheat crop yields over Central Anatolia, Agricultural Systems, (Under Preparation).
  • Corcoran, E., Afshar, M.H., Curceac, S., Lashkari, A., Raza, M.M., Ahnert, S., Mead, A., Morris, R. (2023) Current Data and Modelling Bottlenecks for Predicting Crop Yields in the United Kingdom, Frontiers in Sustainable Food Systems, (Under Review).
  • Afshar, M.H., Bulut, B., Duzenli, E., Amjad, M., Yilmaz, M.T. (2022) Global spatiotemporal consistency between meteorological and soil moisture drought indices, Agricultural and Forest Meteorology 316, 108848, doi: https://doi.org/10.1016/j.agrformet.2022.108848.
  • Afshar, M.H., Al-Yaari, A., Yilmaz, M.T. (2021) Comparative evaluation of microwave L-band VOD and optical NDVI for agriculture drought detection over central Europe, Remote Sensing, 13 (7), 1251, doi: https://doi.org/10.3390/rs13071251.
  • Afshar, M.H., Foster, T., Higginbottom, T.P., Parkes, B., Hufkens, K., Mansabdar, S., Ceballos, F., Kramer, B (2021). Improving performance of index insurance using crop models and phenological monitoring, Remote Sensing, 13 (5), 924, doi:  3390/rs13050924.
  • Afshar, M.H., Sorman, AU., Tosunoglu, F., Bulut, B., Yilmaz, M.T., DanandehMehr, A. (2020) Climate change impact assessment on mild and extreme drought events using copulas over Ankara, Turkey, Theoretical and Applied Climatology, doi: 1007/s00704-020-03257-6.
  • DanandehMehr, A., Sorman, AU., Kahya, E., Afshar, M.H. (2020) Climate change impacts on meteorological drought using SPI and SPEI: case study of Ankara, Turkey, Hydrological Sciences, 65(2): 254-268, doi: 1080/02626667.2019.1691218.
  • Afshar, M.H, Yilmaz, MT, Crow. W.T. (2019) Impact of rescaling methods in simple fusion of soil moisture products, Water Resources Research, 55 (9): 7804-7825, doi: 1029/2019WR025111.
  • Bulut, B., Yilmaz, MT., Afshar, M.H, Sorman, AU., Yucel, I., Cosh, M.H., Simsek, O. (2019) Evaluation of remotely-sensed and model-based soil moisture products according to different soil type, vegetation cover, and climate regime using station-based observations over Turkey, Remote Sensing, 11(16): 1875, doi: 3390/rs11161875.
  • Afshar, M.H, Yilmaz, MT. (2017) The added utility of nonlinear methods compared to linear methods in rescaling soil moisture products, Remote sensing of environment (196): 224-237, doi: 1016/j.rse.2017.05.017.
  • Feizolahpour, F., Delavar, M., Afshar, M.H. (2017 – in Persian) Evaluation and Uncertainty Analysis of Reference Crop Evapotranspiration Estimation Using Genetic Programming, Water and Soil Science 27 (4), 135-147. Link to the paper
  • Afshar, M.H, Sorman, AU, Yilmaz, MT. (2016) Conditional copula-based spatial–temporal drought characteristics analysis, Water 8(10): 246, doi: 3390/w8100426.
  • Behmanesh, J., Afshar, M.H. (2015 – in Persian) Estimation of Weighted Skew Coefficient for Design Flood Approximation (Case Study: West Azerbayjan, Islamic Republic of Iran), 29(3), 578-589, doi: 22067/jsw.v0i0.31707
  • Montaseri, M., Afshar, M.H, Bozorg-Haddad, O. (2015) Optimization of Stormwater Treatment Measure Using MUSIC-GA (Case Study: Canberra City, Australia), Water Resources Management, 29(13): 4649-4665, doi:1007/s11269-015-1082-z

Selected Conference & Proceedings:

  • Alp, E., Senocak, I., Bektas, H.O., Erkan, Y., Simsek, G., Tuna, A., Alp, S.C., Afshar, M.H. (2022) A land-suitability analysis for low impact development applications, IWA DIPCON 2022, Istanbul, Turkey
  • Afshar, M.H., Foster, T., Higginbottom, T.P., Parkes, B., Hufkens, K., Mansabdar, S., Ceballos, F., Kramer, B. (2021). Overcoming basis risk in agricultural index insurance using crop simulation modeling and satellite crop phenology, EGU 2021. Vienna, Austria.
  • Afshar, M.H., Foster, T., Parkes, B., Hufkens, K., Ceballos, F., Kramer, B. (2020). Improving performance of index insurance using crop models and phenological monitoring, EGU 2020. Vienna, Austria.
  • Onen, A., Afshar, M.H., Bulut, B. (2020). Short Term Hydrological Forecasting for a Cascade Dam System: A Case Study of Euphrates Basin in Turkey, European Geosciences Union General Assembly 2020. Vienna. Austria.
  • Afshar, M.H., Amjad, M., Bulut, B., Duzenli, E., Yousefi, K.P., Yilmaz, M.T. (2019). Validation of TMPA and ECMWF Precipitation Estimates Using Gauge Based Observations over West Azarbayjan province of Iran, 1st International & 4th National Congress on Iranian Irrigation and Drainage, Oroumieh, Iran.
  • Feizolahpour, F., Afshar, M.H, Duzenli, E, Besharat, S., Yilmaz, MT. (2019), Evaluating different vegetation indices for assessing crop growth condition derived from UAV images, The 10th National Association of Photogrammetry and Remote Sensing, Aksaray, Turkey.
  • Afshar, M.H, Yilmaz, MT. (2018). Comparison of rescaling techniques in the framework of merging soil moisture time series, CCI Soil Moisture Workshop 2018, Vienna, Austria.
  • Bulut, B., Afshar, M.H, Yilmaz, MT. (2018). Evaluation of Relations among Drought Indices and Remotely Sensed Soil Moisture Datasets over Turkey. EGU 2018. Vienna, Austria.
  • Afshar, M.H, Bulut, B., Yilmaz, MT. (2017). Investigation of the impact of the nonlinear relations among soil moisture products over data fusion process. EGU 2017. Vienna, Austria.
  • Afshar, M.H, Sorman, AU., Yilmaz, MT. (2016). Investigation of the relation between the return periods of major drought characteristics using copula functions. EGU 2016. Vienna, Austria.
  • Afshar, M.H, Yilmaz, MT. (2015). The Added Utility of Nonlinear Techniques in Rescaling Soil Moisture Time Series. 2015 AGU Fall meeting. San Francisco. USA.