![KNTU/LiDARLab/IranLandCover/V1](https://developers.google.com/earth-engine/datasets/images/KNTU/KNTU_LiDARLab_IranLandCover_V1_sample.png)

Dataset Availability
:   2017-01-01T00:00:00Z--2018-01-01T00:00:00Z

Dataset Producer
:


    [K. N. Toosi University of Technology LiDAR Lab](https://en.kntu.ac.ir/laser-scanners-laboratory/)

Tags
:
    [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover) iran kntu

#### Description

The Iran-wide land cover map was generated by processing Sentinel imagery
within the Google Earth Engine Cloud platform. For this purpose, over 2,500
Sentinel-1 and over 11,000 Sentinel-2 images were processed to produce a single
mosaic dataset for the year 2017. Then, an object-based Random Forest
classification method was trained by a large number of reference samples for 13
classes to generate the Iran-wide land cover map.

### Bands

**Bands**

Pixel size: 10 meters (all bands)

| Name | Pixel Size | Description |
|---|---|---|
| `classification` | 10 meters | Classification |

**classification Class Table**

| Value | Color | Description |
|---|---|---|
| 1 | #000000 | Urban |
| 2 | #006eff | Water |
| 3 | #41a661 | Wetland |
| 4 | #ff7f7f | Kalut (yardang) |
| 5 | #bee8ff | Marshland |
| 6 | #ff00c5 | Salty Land |
| 7 | #ff0000 | Clay |
| 8 | #00734c | Forest |
| 9 | #732600 | Outcrop |
| 10 | #ffaa00 | Uncovered Plain |
| 11 | #d3ffbe | Sand |
| 12 | #446589 | Farm Land |
| 13 | #cccccc | Range Land |

### Terms of Use

**Terms of Use**

This work "Iran Land Cover Map
v1 13-class (2017)" by Arsalan Ghorbanian, Mohammad Kakooei, Meisam Amani,
Sahel Mahdavi, Ali Mohammadzadeh, Mahdi Hasanlou is licensed under the [Creative
Commons Attribution 4.0 International License (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/)

### Citations

Citations:

- Ghorbanian, A., Kakooei, M., Amani, M., Mahdavi, S., Mohammadzadeh, A., \&
  Hasanlou, M. (2020). Improved land cover map of Iran using Sentinel imagery
  within Google Earth Engine and a novel automatic workflow for land cover
  classification using migrated training samples. ISPRS Journal of
  Photogrammetry and Remote Sensing, 167, 276-288.
  [doi:10.1016/j.isprsjprs.2020.07.013](https://doi.org/10.1016/j.isprsjprs.2020.07.013)

### Explore with Earth Engine

> [!NOTE]
> **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)

### Code Editor (JavaScript)

```javascript
var dataset = ee.Image('KNTU/LiDARLab/IranLandCover/V1');

var visualization = {
  bands: ['classification']
};

Map.setCenter(54.0, 33.0, 5);

Map.addLayer(dataset, visualization, 'Classification');
```
[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/KNTU/KNTU_LiDARLab_IranLandCover_V1) [Iran Land Cover Map v1 13-class (2017)](https://developers.google.com/earth-engine/datasets/catalog/KNTU_LiDARLab_IranLandCover_V1) The Iran-wide land cover map was generated by processing Sentinel imagery within the Google Earth Engine Cloud platform. For this purpose, over 2,500 Sentinel-1 and over 11,000 Sentinel-2 images were processed to produce a single mosaic dataset for the year 2017. Then, an object-based Random Forest classification method was trained ... KNTU/LiDARLab/IranLandCover/V1, landcover,landuse-landcover 2017-01-01T00:00:00Z/2018-01-01T00:00:00Z 24.62 43.46 39.95 65.58 Google Earth Engine https://developers.google.com/earth-engine/datasets

- [](https://doi.org/https://en.kntu.ac.ir/laser-scanners-laboratory/)
- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/KNTU_LiDARLab_IranLandCover_V1)