README.md

metadata

license: apache-2.0
language:
  - en
tags:
  - Pytorch
  - mmsegmentation
  - segmentation
  - burn scars
  - Geospatial
  - Foundation model
datasets:
  - ibm-nasa-geospatial/hls_burn_scars
metrics:
  - accuracy
  - IoU
  - F1 Score

Model and Inputs

The pretrained Prithvi-100m parameter model is finetuned to detect Burn Scars on HLS data from the HLS Burn Scar Scenes dataset. The finetuning expected an input tile of 512x512x6, where 512 is the height and width and 6 is the number of bands. The bands are:

1. Blue
2. Green
3. Red
4. Narrow NIR
5. SWIR 1
6. SWIR 2

Code

Code for Finetuning is available through github

Configuration used for finetuning is available through config

Results