Iran Land Cover Map v1 13-class (2017)

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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.



Name Pixel Size Description
classification 10 meters


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)


  • 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

Explore in Earth Engine

var dataset = ee.Image("KNTU/LiDARLab/IranLandCover/V1");

var visualization = {
  bands: ['classification']

Map.setCenter(54.0, 33.0, 5);

Map.addLayer(dataset, visualization, "Classification");