{Reference Type}: Journal Article
{Title}: GloCAB cropland field boundary dataset.
{Author}: Hall JV;Argueta F;Giglio L;
{Journal}: Data Brief
{Volume}: 55
{Issue}: 0
{Year}: 2024 Aug
暂无{DOI}: 10.1016/j.dib.2024.110739
{Abstract}: This dataset consists of 190,832 manually-digitized cropland field boundaries, with associated attributes, within Brazil, Ukraine, United States of America, Canada, and Russia. Specifically, 22 regions of various sizes (74km2 - 38,000km2) spanning 5 countries were digitized over a range of predominant crop types over different time periods. These field boundaries were drawn over 20 m Sentinel-2 imagery. This field boundary dataset is a byproduct of a larger effort to map cropland burned area (Global Cropland Area Burned: GloCAB product [1]), however, it has several benefits beyond its original intent, including as a training dataset for machine-learning field size analyses, or a dataset to derive cropland field characteristics across different predominant crop types and geographies.