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--- |
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license: cc-by-4.0 |
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language: |
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- en |
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tags: |
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- climate |
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pretty_name: BioMassters |
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size_categories: |
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- 100K<n<1M |
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--- |
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# Dataset Card for BioMassters for Global Prithvi |
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## Dataset Description |
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Copied from BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series https://nascetti-a.github.io/BioMasster/ |
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- **Original Dataset: https://huggingface.co/datasets/nascetti-a/BioMassters** |
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- **Point of Contact For Updated Dataset: Denys Godwin ([email protected])** |
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### Dataset Summary |
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This dataset contains Sentinel-1 SAR and Sentinel-2 MSI imagery of Finnish forests for the years 2016-2021. There are 11,462 reference images of Above Ground Biomass (AGB). Each reference AGB has corresponding S1 and S2 imagery for the 12 months leading up to the AGB observation. Sentinel-1 data exists for each of the 12 months, while Sentinel-2 data does not have full temporal coverage. All imagery has height and width of 256x256. |
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### Modifications for Prithvi |
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The directory structure of the dataset has been preserved. However, to enable the filtering needed for Prithvi training, some chip metadata has been calculated and stored in biomassters_chip_tracker.csv. Additional metadata are as follows: |
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- cloud_percentage: the percentage of clouds, defined as pixels where the cloud probability band of the input image exceeds 70 |
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- corrupt_values: boolean representing whether there are corrupt values in the image. These are defined as blocks of identical values, which are present in some images |
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- red_mean: the mean value of the red band (band 3) of the Sentinel-2 image, used to filter scenes with anomalously high reflectance due to snow and Top of Atmosphere (ToA) correction issues |
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### Data Splits |
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Training and testing splits are as given by The BioMassters original dataset. The training dataset has been further randomly split into training (80%) and validation (20%) sets. These are tracked in the 'split' column of the biomassters_chip_tracker.csv |
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### Reference data: |
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* Reference AGB measurements were collected using LiDAR (Light Detection and Ranging) calibrated with in-situ measurements. |
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* Total 11,462 patches, each patch covering 2,560 by 2,560 meter area. |
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### Feature data: |
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* Sentinel-1 SAR and Sentinel-2 MSI data |
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* 12 months of data (1 image per month) |
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* Sentinel-2 data does not exist for all months for all scenes |
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* Sentinel-2 data contains 10 selected spectral bands and 1 band of cloud probability |
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### Dataset Specification |
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### Data Size: |
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``` |
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dataset | # files | size |
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-------------------------------------- |
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train_features | 189078 | 215.9GB |
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test_features | 63348 | 73.0GB |
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train_agbm | 8689 | 2.1GB |
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test_agbm | 2773 | 705MB |
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``` |
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## Citation : under review |
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