From GIS to Remote Sensing
I'm glad to announce the update of Remotior Sensus to version 0.6.
This new version add several new features such as clustering, raster editing and raster zonal stats. Following the complete changelog:
- Added optional dependency Pandas for performance improvement in tabular data.
- In tool “Band classification” added option for using PyTorch pretrained model. In case a pretrained model is selected, and additional algorithm is selected for classification, using the same parameters of the named algorithm (e.g. random forest); after executing the pretrained model, the additional algorithm is executed on the embeddings for classification. Currently, it works with models pretrained by the Allen Institute for Artificial Intelligence (SatlasPretrain: https://satlas-pretrain.allen.ai) in particular, Sentinel-2 swin-v2-base single-image multispectral and swin-v2-tiny single-image multispectral models, and Landsat 8 Landsat 9 swin-v2-base single-image multispectral model. SatlasPretrain model weights are released under the Open Data Commons ‘Attribution License (ODC-BY). The repository code is licensed under the Apache License 2.0 (https://huggingface.co/allenai/satlas-pretrain). This tool downloads the official SatlasPretrain weights (Bastani et al., “SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding”, ICCV 2023, arXiv:2211.15660, https://doi.org/10.48550/arXiv.2211.15660). All model weights remain the property of their respective authors.
- In tool “Band classification” added PyTorch pretreained segmentation models for Sentinel-2 (swin-v2-base single-image multispectral model using 3 bands or 4 bands) pretrained by DPR Team as part of the DPR Zoo Segmentation Hub framework (https://github.com/DPR25/dpr-zoo-segmentation-hub) based on SatlasPretrain models. The model output classes: background, water, developed, tree, shrub, grass, crop, bare, snow, wetland, mangroves, moss. The repository code of DPR Zoo models are licensed under the MIT License (https://huggingface.co/martinkorelic/dpr-zoo-models). This tool downloads the model weights (DPR Team, 2025. Made as part of Arnes Hackathon 2025). All model weights remain the property of their respective authors.
- In tool “Download products” included the download of Sentinel-2 L2A SCL band.
- In tool “Preprocess products” included the Sentinel-2 L2A SCL band.
- Improved progress monitoring for multiprocess.
- Code optimization and bug fixing.
Many of these enhancements will also be implemented in the Semi-Automatic Classification Plugin for QGIS which will be released on the 20th of February 2026.
For any comment or question, join the Facebook group or GitHub discussions about the Semi-Automatic Classification Plugin.