v2.0.1

Bug fix to ensure prediction tiling works as intended

v2.0.0

Major changes and upgrades

Tiling

• Tiling now works with the path to the orthomosaic as an argument (rather than the orthomosaic). This will require previous scripts to be adjusted.
• Tiling is now parallelised rather than sequential. This should speed up the tiling process on multi-core systems.

Multispectral compatibility

• Tiling and training now works with MS imagery (as well as RGB) - this is described in the updated tutorial.
• There is no upper bound on the number of bands that can be used (except for memory limitations of the system) - this can mean additional spectral and non-spectral (e.g. CHM bands) can be stacked

Multi-class models

• The functionality of multi-class training has been upgraded - this is described in the updated tutorial
• It is now easier to train models to detect and classify trees of different types (e.g. species, liana infestations)
• A "class mapping" is generated at the tiling stage and carried throughout the training and prediction stages

Please raise and issues you find with the new features and we will get them fixed ASAP.

v1.0.8

Models moved from repo to Zenodo to resolve bandwidth issues

v1.0.7

Multi-temporal prediction combination.
Multi-class outputs.

v1.0.6

Some changes to how the file paths are constructed in tile_data to allow more flexibility for non-conventional crs

v1.0.5

to_traintest_function tweaked to support cases where there is limited available data. It is now possible to not reserve any data for testing (keeping it all for training/validation). Through the strict argument it is also possible to control whether no overlap in the buffer of training/validation tiles and test tiles is enforced.

This flexibility should help users who have limited data to train on.

v1.0.4

Minor updates to the clean_crown function to help handle crs and indexing issues

v1.0.3

Some fixes to the tile_data_train function were implemented to stop misalignment on tiles along the edge of a raster scene

v1.0.2

Some cleaning of the repo to align with publication in Remote Sensing in Ecology and Conservation

v1.0.1

clean_crowns function now:

• can filter crowns based on confidence
• prevents occasionally outputting a pandas data

Updated notes in the tutorial help guide clean/useful outputs