leleist/crophype-fields-kenya

Overview, scripts and tools for the CropHype Fields Kenya dataset This repository provides an overview of the data, tools and scripts to accompany the dataset publication "20,000 smallholder crop type and intercropping records for western Kenya, 2023–2025". The paper, outlining the data acquisition, procurement and validation is available here (TBA). The dataset is available on Zenodo: doi.org. ## Table of Contents - Background - The Dataset - Data processing - The field-QC-tool (GUI) - Funding - Citation - License ### Background Crop-type maps are essential for agricultural monitoring, yield prediction, and climate adaptation. Although remote sensing enables large-scale crop mapping, accurate classification models still depend on locally collected ground-truth data. Such datasets are abundant in Europe and North America but remain scarce in many regions of the Global South. This repository accompanies a field survey dataset collected in western Kenya between 2023 and 2025. Across five seasonal campaigns, locally trained enumerators mapped more than 20,000 smallholder fields, including field boundaries, main and secondary crops (intercropping), and field photographs during the long and short rain seasons. The dataset is intended to support remote sensing research and crop classification in smallholder agricultural systems. ### The Dataset The dataset comprises five subsets corresponding to the five seasonal campaigns, each containing the canonical geopackage with field geometries, crop-types and auxiliary attributes defined in the readme file, as well as a "*_QC.gpkg" that contains additional attributes from thematic and geometric validation. The main attributes: *field_id, crop_main, crop_sec, growth_main, growth_sec, photo, timestamp, area_acres* are standardized across all subsets, while auxiliary attributes may differ between subsets. ```text ── data/ │ ├── LRS23 # Long Rain Season 2023 (n=1159) │ ├── SRS23 # Short Rain Season 2023 (n=1479) │ ├── LRS24 # Long Rain Se …