SPARCS Cloud Dataset

High Quality Cloud, Cloud-Shadow, Water, and Snow/Ice Masks for Landsat 8

Joe Hughes, Robert, Kennedy, Rakesh Solanki

Locations were selected by taking one scene from each of the 14 World Wildlife Fund terrestrial Major Habitat Types plus 'Inland Water' and 'Rock and Ice' for each of the 7 Biogeographical Realms (64 scenes, not all habitat types occur in each Realm). Plus, an additional scene for each of the MHTs chosen randomly (originally intended for testing of algorithms).

The manuscript describing this dataset, as well as the algorithm that uses it, can be found at:

Hughes, M. Joseph and Kennedy, Robert E. (2019). "High Quality Cloud Masking of Landsat 8 Imagery Using Convolutional Neural Networks". Remote Sensing (2019) Vol 11(21), 2591. MDPI. doi: 10.3390/rs11212591.
https://www.mdpi.com/2072-4292/11/21/2591

Data Download: sparcs_data_L8.zip (1.43 Gb)

The zip file contains, for each of 80 scenes:

Mask CodeFeatureMapped Color
0Cloud ShadowBlack
1Cloud Shadow over WaterDk. Blue
2WaterBlue
3Ice/SnowCyan
4LandGrey
5CloudsWhite
6FloodedGold