# Land Cover 9-Class

Impact Observatory — version 1.2

## Description

This dataset classifies land cover at 10 m spatial resolution, with global spatial coverage annually from 2017 onwards. Pixels are assigned one of 9 land cover classes.

## Summary

- **ID:** a4bb9aea-b6df-4d19-9083-38357f8fa76c
- **Type:** Raster
- **CRS:** EPSG:3857
- **Spatial coverage:** Global
- **Spatial resolution:** 10 m
- **Temporal coverage:** 2017+
- **Temporal resolution:** Annual

## Usage notes

New time points are delivered in January for the previous year. Data is delivered as annual composites of predictions made on multiple Sentinel-2 observations. Pixel size is expressed in EPSG:3857 projection units, but effective ground resolution decreases with latitude due to Web Mercator distortion.

## Variables

### land_cover_class
- **Type:** uint8
- **NoData:** 255
Index of the predicted land cover class. Predictions are made using a deep learning segmentation model trained to predict > 5 billion manually annotated land cover classifications from Sentinel-2 imagery.

## Pricing

This dataset has no data acquisition cost.