Crop Type Mapping Using Hyperspectral Data

This speech was delivered by Itiya Aneece at the 12th International Society for Digital Earth (ISDE) International Lectures themed “Global Food-and-Water Security-support Analysis Data Using Multi-sensor Remote Sensing, Machine Learning, and AI on the Cloud” on September 9, 2024. This event was organized by the International Society for Digital Earth (#ISDE), and supported by the International Research Center of Big Data for Sustainable Development Goals (#CBAS). It is a series of online events which feature invited lectures by well-known international experts in the field of Digital Earth. The event will invite speakers to give lectures every two months. The purpose of the events is to bring international scholars in the relevant research fields of Digital Earth together to exchange academic perspectives, share research results, and disseminate the most cutting-edge and authoritative concept of Digital Earth.
Dr. Itiya Aneece is a Research Geographer at the USGS Western Geographic Science Center using hyperspectral and multispectral remote sensing (#remotesensing ) to study globally dominant agricultural crops (#agriculture ). She is also working on a variety of projects with the Astrogeology Science Center. Dr. Aneece earned a PhD in Environmental Sciences (#environmentalscience ) from the University of Virginia, where she conducted her dissertation research on studying the impacts of invasive plant species on secondary successional dynamics in abandoned agricultural fields using ground-level hyperspectral remote sensing. She has also recently completed a Mendenhall Postdoctoral Fellowship within the Western Geographic Science Center, in which she studied crops using Hyperion hyperspectral satellite data in Google Earth Engine(#googleearthengine ).
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