Iran Land Cover Map v1 13-class (2017)

KNTU/LiDARLab/IranLandCover/V1
Dataset Availability
2017-01-01T00:00:00Z–2018-01-01T00:00:00
Dataset Provider
Earth Engine Snippet
ee.Image("KNTU/LiDARLab/IranLandCover/V1")
Tags
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

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)

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

Explore with Earth Engine

Code Editor (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