S
Sajad Jamshidi
Researcher at Purdue University
Publications - 26
Citations - 340
Sajad Jamshidi is an academic researcher from Purdue University. The author has contributed to research in topics: Environmental science & Biology. The author has an hindex of 6, co-authored 13 publications receiving 136 citations. Previous affiliations of Sajad Jamshidi include Shiraz University.
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Journal ArticleDOI
Evaluation of Evapotranspiration over a Semiarid Region Using Multiresolution Data Sources
TL;DR: In this paper, different ET data with varying resolution, accuracy, and functionality were reviewed over a period of several months. But, the accuracy and accuracy of the data was not evaluated.
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Global to USA County Scale Analysis of Weather, Urban Density, Mobility, Homestay, and Mask Use on COVID-19.
TL;DR: It is highlighted that COVID-19 assessments can notably benefit by incorporating factors that account for urban dynamics and environmental exposure, with particular consideration of urban density, mobility, homestay, demographic information, and mask use within communities.
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Evapotranspiration, crop coefficients, and physiological responses of citrus trees in semi-arid climatic conditions
Sajad Jamshidi,Sajad Jamshidi,Shahrokh Zand-Parsa,Ali Akbar Kamgar-Haghighi,Ali Reza Shahsavar,Dev Niyogi +5 more
TL;DR: In this article, the standard evapotranspiration and crop coefficients (single and dual) for drip-irrigated mature orange trees (Citrus sinensis L. cv. Washington navel) were investigated for two consecutive seasons (2016, 2017).
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Application of A Simple Landsat-MODIS Fusion Model to Estimate Evapotranspiration over A Heterogeneous Sparse Vegetation Region
TL;DR: A simple Landsat-MODIS (Moderate Resolution Imaging Spectroradiometer) fusion model was used to generate 30-m resolution evapotranspiration (ET) maps for the 2010 growing season over a heterogeneous sparse vegetation, agricultural region using the METRIC algorithm.
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COVID-19 in Asia: Transmission factors, re-opening policies, and vaccination simulation.
TL;DR: The efficiency of various strategies to exit the COVID-19 pandemic and get back to pre-pandemic conditions using a stochastic individual-based epidemiology model was evaluated and the vaccine simulations showed the target date for achieving herd immunity significantly varied among the countries.