Yanghui Kang Email and Phone Number

I conduct research on agricultural forecasting using satellite remote sensing, machine learning, and high-performance computing at the Hydrology and Remote Sensing Lab of USDA-ARS. My work mainly focuses on building continental to global-scale Leaf Area Index (LAI) estimation frameworks using Landsat and Sentinel-2 images. I am also interested in understanding the uncertainties in LAI estimation and the impact of ET modeling to improve water management for California specialty crops. SCINet is… Show more I conduct research on agricultural forecasting using satellite remote sensing, machine learning, and high-performance computing at the Hydrology and Remote Sensing Lab of USDA-ARS. My work mainly focuses on building continental to global-scale Leaf Area Index (LAI) estimation frameworks using Landsat and Sentinel-2 images. I am also interested in understanding the uncertainties in LAI estimation and the impact of ET modeling to improve water management for California specialty crops. SCINet is a USDA-ARS initiative to provide agricultural scientists with cutting-edge computing capacity such as high-performance computing (HPC) clusters. My work as a SCINet fellow involves coordinating ARS-wide workshops and contributing to a Geospatial Data Library initiative for the ARS HPCs. Show less