Normalized Difference Urban Index (NDUI)

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

How to Cite

Normalized Difference Urban Index (NDUI) was accessed on DATE from https://registry.opendata.aws/ndui.

Usage Examples

Tutorials

• An example of using ndui data with AWS sagemaker tools by Yifang Wang
  EC2
• Automated extraction of urban built-up areas with NDUI using Python and Google Earth Engine by Yifang Wang
  EC2

Tools & Applications

• Global DMSP images Correction by Yifang Wang
  

Publications

• A Robust Method to Generate a Consistent Time Series From DMSP/OLS Nighttime Light Data by Qingling Zhang and Bhartendu Pandey and Keren C.Seto
  
• Building a Better Urban Picture:Combining Day and Night Remote Sensing Imagery by Qingling Zhang and Bin Li and David Thau & Rebecca Moore