Radiant MLHub

Dalberg Data Insights Crop Type Uganda

satellite

This dataset contains crop types and field boundaries along with other metadata collected in a campaign run by Dalberg Data Insights in the end of September 2017, as close as possible to the harvest period of 2017. GeoODKapps were used to collect approximately four points per field to get widest coverage during two field campaigns.

Post ground data collection, Radiant Earth Foundation conducted a quality control of the polygons using Sentinel-2 imagery of the growing season as well as Google basemap imagery, and removed several polygons that overlapped with infrastructure or built-up areas. Finally, ground reference polygons were matched with corresponding time series data from Sentinel-2 satellites (listed in the source imagery property of each label item).

Dataset ID

ref_african_crops_uganda_01

DOI

10.34911/rdnt.eii04x

Creator

Dalberg Data Insights, Radiant Earth Foundation

Contact

Christophe.Bocquet@dalberg.com

Documentation

Citation

Bocquet, C., & Dalberg Data Insights. (2019) "Dalberg Data Insights Uganda Crop Classification", Version 1.0, Radiant MLHub. [Date Accessed] https://doi.org/10.34911/RDNT.EII04X

Python Client example

from radiant_mlhub import Dataset

ds = Dataset.fetch('ref_african_crops_uganda_01')
for c in ds.collections:
    print(c.id)

Python Client quick-start guide

Source Imagery Collection

Description

African Crops Uganda Source Imagery

License

CC-BY-SA-4.0

Collection ID

ref_african_crops_uganda_01_source

Download

Labels Collection

Description

African Crops Uganda

License

CC-BY-SA-4.0

Collection ID

ref_african_crops_uganda_01_labels

Download