CNES Land Cover Map

The CNES Land Cover Map (Occupation des Sols, OSO) produces land classification for Metropolitan France at a 10m spatial resolution. It is based on Sentinel-2 L2A data processed within the Theia Land Cover CES framework. The map is generated automatically using the iota² processing chain, which employs a Random Forest classifier calibrated with extensive national vector data (such as BD TOPO and Corine Land Cover).

Data Availability & Collections

The OSO maps are available as annual composites. Since 2018, the product has used a 23-category nomenclature, which is backward-compatible with the 17-category version used in 2016 and 2017.

• Collection ID: 9baa2732-6597-49d2-ae3b-68ba0a5386b2

• Update Frequency: Annually.

Basic Facts

Property	Value
Sensor	MultiSpectral Instrument (MSI) from Sentinel-2
Spatial Resolution	10 m
Geographic Coverage	Metropolitan France
Coordinate System	Lambert-93 (EPSG:2154) or UTM
Data Format	Cloud Optimized GeoTIFF (COG)
Temporal Coverage	2016 – 2022 (Updated annually)
License	ETALAB V2.0 Open License
Provider	Planet

Band Information

The CNES Land Cover product contains three specific bands:

Name	Description
OCS	Main discrete classification according to the 23-category nomenclature.
OCS_Confidence	Classifier confidence level (values 1 to 100).
OCS_Validity	Indicates the number of cloudless images used for the pixel classification.

Class Definitions (23-Category Nomenclature)

The following table describes the classification values found in the OCS band for maps from 2018 onwards.

Value	Label	Color
1	Dense built-up area	#ff00ff
2	Diffuse built-up area	#ff55ff
3	Industrial and commercial areas	#ffaaff
4	Roads	#00ffff
5	Oilseeds (Rapeseed)	#ffff00
6	Straw cereals (Wheat, Triticale, Barley)	#d0ff00
7	Protein crops (Beans / Peas)	#a1d600
8	Soy	#ffab44
9	Sunflower	#d6d600
10	Corn	#ff5500
11	Rice	#c5ffff
12	Tubers/roots	#aaaa61
13	Grasslands	#aaaa00
14	Orchards and fruit growing	#aaaaff
15	Vineyards	#550000
16	Hardwood forest	#009c00
17	Softwood forest	#003200
18	Natural grasslands and pastures	#aaff00
19	Woody moorlands	#55aa7f
20	Natural mineral surfaces	#ff0000
21	Beaches and dunes	#ffb802
22	Glaciers and eternal snows	#bebebe
23	Water	#0000ff

Accessing the Data

Planet Insights Platform API

To access this collection programmatically, use the following details in your API requests:

• Endpoint: services.sentinel-hub.com

• Collection Type: byoc-9baa2732-6597-49d2-ae3b-68ba0a5386b2

Visualization Script (Evalscript)

Use this script to visualize the land cover classification with the official CNES color scheme:

// VERSION=3
// CNES Land Cover (OSO) Visualizer
const colormap = [
  [1, 0xff00ff], [2, 0xff55ff], [3, 0ffaaff], [4, 0x00ffff],
  [5, 0xffff00], [6, 0xd0ff00], [7, 0xa1d600], [8, 0xffab44],
  [9, 0xd6d600], [10, 0xff5500], [11, 0xc5ffff], [12, 0 aaaa61],
  [13, 0 aaaa00], [14, 0 aaaaff], [15, 0x550000], [16, 0x009c00],
  [17, 0x003200], [18, 0 aaff00], [19, 0x55aa7f], [20, 0xff0000],
  [21, 0xffb802], [22, 0xbebebe], [23, 0x0000ff]
];

const visualizer = new ColorMapVisualizer(colormap);

function setup() {
  return {
    input: ["OCS", "dataMask"],
    output: { bands: 3 }
  };
}

function evaluatePixel(samples) {
  return visualizer.process(samples.OCS);
}

Attribution

Value-added data processed by CNES for the Theia data center from Copernicus data. Processing uses algorithms developed by Theia's Centers of Scientific Expertise.