| license: cc-by-4.0 | |
| language: | |
| - en | |
| tags: | |
| - climate | |
| pretty_name: BioMassters | |
| size_categories: | |
| - 100K<n<1M | |
| # BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series [https://nascetti-a.github.io/BioMasster/] | |
| The objective of this repository is to provide a deep learning ready dataset to predict yearly Above Ground Biomass (AGB) for Finnish forests using multi-temporal satellite imagery from | |
| the European Space Agency and European Commission's joint Sentinel-1 and Sentinel-2 satellite missions, designed to collect a rich array of Earth observation data | |
| ### Reference data: | |
| * Reference AGB measurements were collected using LiDAR (Light Detection and Ranging) calibrated with in-situ measurements. | |
| * Total 13000 patches, each patch covering 2,560 by 2,560 meter area. | |
| ### Feature data: | |
| * Sentinel-1 SAR and Sentinel-2 MSI data | |
| * 12 months of data (1 image per month) | |
| * Total 310,000 patches | |
| ### Data Specifications: | |
| <img src="https:"https://huggingface.co/datasets/nascetti-a/BioMassters/blob/main/Data_specifications.png"> | |
| ### Data Size: | |
| ``` | |
| dataset | # files | size | |
| -------------------------------------- | |
| train_features | 189078 | 215.9GB | |
| test_features | 63348 | 73.0GB | |
| train_agbm | 8689 | 2.1GB | |
| ``` | |
| ### Contact Information: | |