Upload README.md

README.md

@@ -0,0 +1,61 @@
+---
+license: cc-by-4.0
+language:
+- en
+tags:
+- climate
+pretty_name: BioMassters
+size_categories:
+- 100K<n<1M
+---
+# Dataset Card for BioMassters for Global Prithvi
+
+## Dataset Description
+
+Copied from BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series https://nascetti-a.github.io/BioMasster/
+
+- **Original Dataset: https://huggingface.co/datasets/nascetti-a/BioMassters**
+- **Point of Contact For Updated Dataset: Denys Godwin ([email protected])**
+
+### Dataset Summary
+
+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.
+
+### Modifications for Prithvi
+
+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:
+
+- cloud_percentage: the percentage of clouds, defined as pixels where the cloud probability band of the input image exceeds 70
+- 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
+- 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
+
+### Data Splits
+
+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
+
+### Reference data: 
+* Reference AGB measurements were collected using LiDAR (Light Detection and Ranging) calibrated with in-situ measurements.
+* Total 11,462 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)
+* Sentinel-2 data does not exist for all months for all scenes
+* Sentinel-2 data contains 10 selected spectral bands and 1 band of cloud probability
+
+### Dataset Specification
+
+![img](./Data_specifications.png)
+
+### Data Size:
+
+```
+  dataset         | # files  | size
+  --------------------------------------
+  train_features  |  189078  | 215.9GB
+  test_features   |   63348  |  73.0GB
+  train_agbm      |    8689  |   2.1GB
+  test_agbm       |    2773  |   705MB
+```
+
+## Citation : under review