Radiant MLHub

Rwanda Field Boundary Competition Dataset

This dataset contains field boundaries for smallholder farms in eastern Rwanda. The Nasa Harvest program funded a team of annotators from TaQadam to label Planet imagery for the 2021 growing season for the purpose of conducting the Rwanda Field boundary detection Challenge. The dataset includes rasterized labeled field boundaries and time series satellite imagery from Planet's NICFI program. Planet's basemap imagery is provided for six months (March, April, August, October, November and December). The paired dataset is provided in 256x256 chips for a total of 70 tiles covering 1532 individual fields.

Input imagery consists of a time series of planet Basemaps from the NICFI program (monthly composite) data.

Imagery Copyright 2021 Planet Labs Inc. All use subject to the Participant License Agreement.

Dataset ID

nasa_rwanda_field_boundary_competition

DOI

10.34911/rdnt.g580ww

Creator

NASA Harvest

Contact

ml@radiant.earth

Documentation

Citation

NASA Harvest, Radiant Earth Foundation, & TaQadam. (2022). Rwanda Field Boundary Competition Dataset (Version 1.0) [Data set]. Radiant MLHub. https://doi.org/10.34911/RDNT.G580WW

Python Client example

from radiant_mlhub import Dataset

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

Python Client quick-start guide

Download Dataset

Source Imagery Collections

Description

nasa_rwanda_field_boundary_competition Train Source Imagery

License

proprietary

Collection ID

nasa_rwanda_field_boundary_competition_source_train

Download

Description

nasa_rwanda_field_boundary_competition Test Source Imagery

License

proprietary

Collection ID

nasa_rwanda_field_boundary_competition_source_test

Download

Labels Collections

Description

nasa_rwanda_field_boundary_competition Train Labels

License

CC-BY-4.0

Collection ID

nasa_rwanda_field_boundary_competition_labels_train

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