Normalized Difference Urban Index (NDUI)

earth observation geospatial satellite imagery sustainability urban

Description

NDUI is combined with cloud shadow-free Landsat Normalized Difference Vegetation Index (NDVI) composite and DMSP/OLS Night Time Light (NTL) to characterize global urban areas at a 30 m resolution,and it can greatly enhance urban areas, which can then be easily distinguished from bare lands including fallows and deserts. With the capability to delineate urban boundaries and, at the same time, to present sufficient spatial details within urban areas, the NDUI has the potential for urbanization studies at regional and global scales.

Update Frequency

Next year's NDUI is added as soon as it is available.

License

There are no restrictions on the use of this data.

Documentation

https://github.com/yifwahaha/NDUI_work_flow/blob/master/User's%20Guide%20-%2020200314_new.pdf

Managed By

Remote Sensing Big Data Intelligent Application Laboratory, School of Aeronautics and Astronautics, Sun Yat-sen University

See all datasets managed by Remote Sensing Big Data Intelligent Application Laboratory, School of Aeronautics and Astronautics, Sun Yat-sen University.

Contact

zhangqling@mail.sysu.edu.cn

Usage Examples

Tutorials
Tools & Applications
Publications

Resources on AWS

  • Description
    NDUI-2000 on a global land scale
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::qinglinglab-ndui-2000
    AWS Region
    us-west-2
    AWS CLI Access (No AWS account required)
    aws s3 ls s3://qinglinglab-ndui-2000/ --no-sign-request

Edit this dataset entry on GitHub

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