Published April 12, 2021
| Version v1
Dataset
Open
Hand Labelled Crop / Non Crop datasets
- 1. NASA Harvest
- 2. University of Maryland, College Park
Description
This dataset provides the hand-labelled crop / non-crop points used for training, which were created by labelling high-resolution satellite imagery in QGIS and Google Earth Pro. Data is available for Ethiopia, Sudan, Togo and Kenya.
Code used to process these points is available in the following github repository: https://github.com/nasaharvest/crop-maml
For more information, or if you use any part of this dataset, please refer to / cite the following paper: Gabriel Tseng, Hannah Kerner, Catherine Nakalembe and Inbal Becker-Reshef. 2021. Learning to predict crop type from heterogeneous sparse labels using meta-learning. GeoVision Workshop at CVPR ’21: June 19th, 2021