Parcel-Centroid Local Feature–Driven High- and Medium-Resolution Remote Sensing Co-classification for Mitigating Mixed-Pixel Effects in Fragmented Farmland

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Yang
DOI: 10.5281/zenodo.18213649
Cited by: 0

Abstract

This dataset contains derived data and statistical results supporting the study “Parcel-Centroid Local Feature–Driven High- and Medium-Resolution Remote Sensing Co-classification for Mitigating Mixed-Pixel Effects in Fragmented Farmland”.

Fields of Study & Subjects

Remote-Sensing Image Classification Remote Sensing in Agriculture Remote Sensing and Land Use

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 January 2026
Document type
Dataset