Semantic Segmentation of Crop Type in South Sudan

The dataset includes time series of satellite imagery from Sentinel-1, Sentinel-2, and PlanetScope satellites throughout 2016 and 2017. For each tile/chip in the dataset, there are time series of imagery from each of the satellites, as well as a corresponding label that defines the crop type at each pixel. The label has only one value at each pixel location, and assumes that the crop type remains the same across the full time span of the satellite image time series.

Data and Resources

Additional Info

Field Value
ID
GCS Poster
Filebin Poster
Version
Is live dataset
License https://creativecommons.org/licenses/by-sa/4.0/
Structured data license
Date created
Date published June 26, 2024
Date modified August 21, 2025
Languages
Same as
  1. https://source.coop//stanford/african-crops-south-sudan
Cite as
Creators
Creator 1
Type
Organization
ID
stanford
Identifier
Name
Stanford University
Email
URL
https://source.coop/stanford
Publishers
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