Mapping Urban Areas with Integration of DMSP/OLS Nighttime Light and MODIS Data Using Machine Learning Techniques

Mapping Urban Areas with Integration of DMSP/OLS Nighttime Light and MODIS Data Using Machine Learning Techniques

Mapping urban areas at global and regional scales is an urgent and crucial task for detecting urbanization and human activities throughout the world and is useful for discerning the influence of urban expansion upon the ecosystem and the surrounding environment. DMSP-OLS stable nighttime lights have...

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Bibliographic Details
Main Authors: Wenlong Jing, Yaping Yang, Xiafang Yue, Xiaodan Zhao
Format: Article
Language:English
Published: MDPI AG 2015-09-01
Series:Remote Sensing
Subjects:
urban areas
DMSP-OLS
MODIS
SVM
random forests
Online Access:http://www.mdpi.com/2072-4292/7/9/12419

Internet

http://www.mdpi.com/2072-4292/7/9/12419

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