2026-10-15T01:03:35Z https://www.scidb.cn/oai

10.57760/sciencedb.16930 2025-11-19T18:21:16Z

2025-11-19 A Deep Learning Benchmark Dataset for Cropland Parcel Boundary Extraction from Multi-Source Optical Remote Sensing Imagery doi:10.57760/sciencedb.16930 en We provide a standardized dataset of diversified parcel labels based on multi-source remote sensing imagery. The parcels included in this dataset are sourced from four countries: the Netherlands, Denmark, Spain, and China, encompassing over 140,000 cropland parcel. The average parcel size across different study areas ranges from 0.05 hectares to 10 hectares.  cropland; Multi-Source Remote Sensing; Parcel Boundaries; deep learning Hai Rong PUBLIC https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset Science Data Bank