Installation
About
An end-to-end toolkit for land use and land cover classification using big Earth observation data, based on machine learning methods applied to satellite image data cubes, as described in Simoes et al (2021) doi:10.3390/rs13132428. Builds regular data cubes from collections in AWS, Microsoft Planetary Computer, Brazil Data Cube, and Digital Earth Africa using the Spatio-temporal Asset Catalog (STAC) protocol (
Citation | sits citation info |
github.com/e-sensing/sits/ | |
e-sensing.github.io/sitsbook/ | |
Bug report | File report |
Key Metrics
Downloads
Yesterday | 15 -32% |
Last 7 days | 131 -21% |
Last 30 days | 656 -16% |
Last 90 days | 1.896 +6% |
Last 365 days | 7.213 +51% |
Maintainer
Maintainer | Gilberto Camara |
Depends
R | ≥ 4.0.0 |