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Normalized Difference Urban Index (NDUI) Dataset for Machine Learning

Install DagsHub:

pip install dagshub
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To stream this data directly on DagsHub

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/ndui-dataset")

fs.listdir("s3://qinglinglab-ndui-2000")
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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.

Additional information

Update frequency

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

Managed by

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

License

There are no restrictions on the use of this data.

Related datasets

BodyM Dataset

Cloud to Street – Microsoft Flood and Clouds Dataset

A2D2: Audi Autonomous Driving Dataset

Galaxy Evolution Explorer Satellite (GALEX)

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