IEEE GRSS Washington DC & Northern VA Chapter Virtual Seminar: Advancing Large-area Crop Mapping with Satellite Data

Advancing Large-area Crop Mapping with Satellite Data Satellite remote sensing is transforming global agricultural monitoring. Crop maps from satellite data are essential for crop monitoring systems and crop modeling projects. Generating high-resolution crop maps is a research area of significant potential. The Landsat and Sentinel series of satellites, with 10-30 m spatial resolution, sub-weekly revisit frequency, free data policy, and standardized pre-processing, represent the best available datasets for crop mapping over large areas. This talk presents a multi-scale mapping approach with satellite Analysis Ready Data (ARD) generation, machine learning, probability sampling and in situ data collection as critical components. The approach can simultaneously produce crop area estimates with uncertainty estimates and crop classification maps with validation accuracy. Crop mapping results at national and continental scales over the United States, Canada, China and South America are illustrated. Speaker(s): Xiaopeng Song, Virtual: https://events.vtools.ieee.org/m/391822