---
license: apache-2.0
task_categories:
  - visual-question-answering
tags:
  - remote-sensing
  - earth-observation
  - sentinel-2
  - multispectral
  - benchmark
---

# SpectralCheck-EO

A spectrally grounded benchmark for vision-language models in Earth observation.

1,724 Sentinel-2 L2A tiles (~5 km squares) with 11 spectral indices computed
per tile and per 3x3 region, plus RGB previews.

**Status: work in progress.** This release contains imagery statistics only.
Question-answer pairs and evaluation splits are not yet published — do not use
for evaluation yet.

Fully reproducible: every tile is identified by its STAC item ID, so the whole
dataset can be regenerated from public Sentinel-2 data using the included
manifest and pipeline.

RIOTU Lab, Prince Sultan University.