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# 10m Annual Land Use Land Cover (9-class)

![Header Thumbnail](/data/public-data/other-datasets/io-lulc-ganges-delta.webp)

The **10m Annual Land Use Land Cover (9-class)** dataset is a global map produced by **Impact Observatory**, **Microsoft**, and **Esri**. It provides a year-by-year snapshot of global land cover at a 10-meter resolution, derived from ESA Sentinel-2 imagery using a deep learning AI model.

This dataset is particularly valuable for monitoring urbanization, deforestation, and agricultural expansion over time.

## Data Availability & Collections

The dataset is organized as a "Bring Your Own COG" (BYOC) collection within the [Planet Insights Platform](https://insights.planet.com/). Each pixel represents the most likely land cover class for the given year.

* **Collection ID**: `0ed26381-7344-4281-b180-66f3da521f75`
* **Update Frequency**: The map is updated annually following the completion of the calendar year.

## Basic Facts

| Property               | Value                                                     |
| ---------------------- | --------------------------------------------------------- |
| **Sensor**             | MultiSpectral Instrument (MSI) from Sentinel-2            |
| **Spatial Resolution** | 10 m                                                      |
| **Coordinate System**  | UTM (aligned to Sentinel-2 tiling grid)                   |
| **Data Format**        | Cloud Optimized GeoTIFF (COG)                             |
| **Temporal Coverage**  | 2017 – 2023 (Updated annually)                            |
| **License**            | [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/) |
| **Provider**           | **Planet**                                                |

## Class Definitions

The product consists of a single band named `lulc`. Each pixel contains an integer value from 1 to 11. Note that values 3 and 6 are not used in this 9-class schema.

| Value  | Label                  | Color     |
| ------ | ---------------------- | --------- |
| **1**  | **Water**              | `#419bdf` |
| **2**  | **Trees**              | `#397d49` |
| **4**  | **Flooded Vegetation** | `#7a87c6` |
| **5**  | **Crops**              | `#e49635` |
| **7**  | **Built Area**         | `#c4281b` |
| **8**  | **Bare Ground**        | `#a59b8f` |
| **9**  | **Snow/Ice**           | `#a8ebff` |
| **10** | **Clouds**             | `#616161` |
| **11** | **Rangeland**          | `#e3e2c3` |

## Accessing the Data

### AWS S3 Access

The data is hosted in the AWS `us-west-2` region. You can browse the directory structure using the AWS CLI:

```
aws s3 ls --no-sign-request s3://io-10m-annual-lulc/
```

### Planet Insights Platform API

To access the data programmatically via the [Planet Insights Platform](https://insights.planet.com/):

* Endpoint: `services.sentinel-hub.com`

* Collection Type: `byoc-0ed26381-7344-4281-b180-66f3da521f75`

## Visualization Script (Evalscript)

To view the land cover map with the standard classification colors, use the following [Evalscript](https://docs.planet.com/develop/evalscripts.md) in your request:

```
// VERSION=3

// Impact Observatory 10m LULC Visualizer

const colormap = [

  [1, 0x419bdf], // Water

  [2, 0x397d49], // Trees

  [4, 0x7a87c6], // Flooded Vegetation

  [5, 0xe49635], // Crops

  [7, 0xc4281b], // Built Area

  [8, 0xa59b8f], // Bare Ground

  [9, 0xa8ebff], // Snow/Ice

  [10, 0x616161], // Clouds

  [11, 0xe3e2c3], // Rangeland

];



const visualizer = new ColorMapVisualizer(colormap);



function setup() {

  return {

    input: ['lulc', 'dataMask'],

    output: { bands: 3 },

  };

}



function evaluatePixel(samples) {

  return visualizer.process(samples.lulc);

}
```

## Attribution

This dataset is collaboratively produced by [Impact Observatory](https://www.impactobservatory.com/maps-for-good/), Microsoft, and Esri. It contains modified Copernicus Sentinel data processed by these partners.