Mapping Urban Extent at Large Spatial Scales Using Machine Learning Methods with VIIRS Nighttime Light and MODIS Daytime NDVI Data

Mapping Urban Extent at Large Spatial Scales Using Machine Learning Methods with VIIRS Nighttime Light and MODIS Daytime NDVI Data

Urbanization poses significant challenges on sustainable development, disaster resilience, climate change mitigation, and environmental and resource management. Accurate urban extent datasets at large spatial scales are essential for researchers and policymakers to better understand urbanization dyn...

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Bibliographic Details
Main Authors: Xue Liu, Alex de Sherbinin, Yanni Zhan
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Remote Sensing
Subjects:
urbanization
urban extent
urban land use
remote sensing
machine learning
VIIRS
MODIS
Online Access:https://www.mdpi.com/2072-4292/11/10/1247

Internet

https://www.mdpi.com/2072-4292/11/10/1247

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