GNDC-compressed version of HiGLASS-LS20 — the first gap-free, 20 m, 5-day LAI / FAPAR product over China (2018–2024), derived from integrated Landsat-8/9 and Sentinel-2 Analysis Ready Data.
Files are stored as .gndc (a neural data cube format; see GeoNDC reference
below) instead of GeoTIFF to reduce size. A decoder is required to read them.
Documentation: https://github.com/jianboqi/pygndc/blob/main/TUTORIAL.md
Note: after decoding, values are already physical (LAI in m² m⁻², FAPAR unitless). Do not multiply by the scale factors below — those apply only to the raw uint8 GeoTIFF source and are listed for reference.
n018e108 = 18.5°N, 108.5°E, covering ~18–19°N, 108–109°E).(For reference, the original uint8 GeoTIFF used scale factors LAI ×0.1 and FAPAR ×0.004. pygndc returns decoded data already in the physical ranges above.)
Open-source pipeline (Google Colab): https://colab.research.google.com/drive/1zGYbUkh4COoZqpWA2tfMLZHVfsGZ1nAo
For the GNDC compression format / decoder:
Qi, J., M. Li, B. Jiang, Y. Chen, and Q. Wang (2026). "GeoNDC: A Queryable Neural Data Cube for Planetary-Scale Earth Observation." arXiv:2603.25037 [cs.CV]. https://arxiv.org/abs/2603.25037
For the underlying HiGLASS-LS20 product:
Ma, H., Q. Wang, W. Li, Y. Chen, J. Xu, Y. Ma, J. Huang, and S. Liang (2025). "The first gap-free 20 m 5-day LAI/FAPAR products over China (2018–2023) from integrated Landsat-8/9 and Sentinel-2 Analysis Ready Data." Remote Sensing of Environment, 331, 115048. DOI: 10.1016/j.rse.2025.115048
No preview available for file type .gndc. Open an issue if you would like support for this file type.