Welcome to iamap’s documentation!

Indices and tables

Contents:

• Installation Guide
  • Plug-in installation
  • Dependencies installation
• Tutorials
  • Encoder
  • Dimension reduction
  • Clustering
  • Similarity
  • Machine Learning Algorithms
• Use cases
  • Mapping Cameroon forest types with Sentinel 2 data
  • Mapping Land Cover change in La Reunion island
• FAQ
  • How does a ViT work ?
  • How does it handle more than three band images with pretrained models ?
  • How can I avoid tiling effects ?
  • How can I obtain a better resolution ?
  • Which model should I use ?
  • Can I use any model from HuggingFace ?
  • Why doesn’t this projection, clustering or classification algorithm work ?
• Known issues
  • Similarity or Random Forest causes QGIS to crash
  • QGIS crashes at the start of encoding
  • libspatialindex error with geopandas
  • UMAP crashes
  • Major tilling efects
  • Conflicting requirements for UMAP
  • Rasterio error after 499 batches in Windows
  • Large bands on the feature raster
• Aknowledgements

Note

The iamap plugin is currently in active development. We will continue making improvements and welcome your feedback. If you have any questions or suggestions, please feel free to open an issue or discussion on GitHub.