Esmaiil Mokari

Physics-Informed Data-Driven Model for Predicting Streamflow: A Case Study of the Voshmgir Basin, Iran

Jeill Oh, S. Bateni, C. Jun, 2022, Applied Sciences.

A machine learning approach for spatiotemporal imputation of MODIS chlorophyll-a

Prasad Daggupati, Hamid Mohebzadeh, P. Daggupati, 2021, International Journal of Remote Sensing.

Using UAV-thermal imaging to calculate crop water use and irrigation efficiency in a flood-irrigated pecan orchard

Z. Samani, Esmaiil Mokari, A. Fernald, 2022, Agricultural Water Management.

Numerical Modeling of Nitrate in a Flood‐Irrigated Pecan Orchard

M. Shukla, J. Šimůnek, Esmaiil Mokari, 2019, Soil Science Society of America Journal.

Estimation of daily reference evapotranspiration with limited climatic data using machine learning approaches across different climate zones in New Mexico

Koffi Djaman, Z. Samani, D. Dubois, 2021, Theoretical and Applied Climatology.

Evaluation of long-term climate change impact on the growing season and water use of mature pecan in Lower Rio Grande Valley

F. Ward, Z. Samani, Esmaiil Mokari, 2021 .

Spatiotemporal imputation of MODIS land surface temperature using machine learning techniques (Case study: New Mexico's Lower Rio Grande Valley)

Zohrab Samani, Prasad Daggupati, Hamid Mohebzadeh, 2021, Remote Sensing Applications: Society and Environment.