earth observation geospatial satellite imagery urban
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.
Next year's NDUI is added as soon as it is available.
There are no restrictions on the use of this data.
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.
Normalized Difference Urban Index (NDUI) was accessed on
DATE from https://registry.opendata.aws/ndui.
aws s3 ls --no-sign-request s3://qinglinglab-ndui-2000/
Edit this dataset entry on GitHub