Improved Mapping Results of 10 m Resolution Land Cover Classification in Guangdong, China Using Multisource Remote Sensing Data With Google Earth Engine

Improved Mapping Results of 10 m Resolution Land Cover Classification in Guangdong, China Using Multisource Remote Sensing Data With Google Earth Engine

Land cover information depicting the complex interactions between human activities and surface change is critically essential for nature conservation, social management, and sustainable development. Recent advances have shown great potentials of remote sensing data in generating high-resolution land...

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Bibliographic Details
Main Authors: Ying Tu, Wei Lang, Le Yu, Ying Li, Junhao Jiang, Yawen Qin, Jiemin Wu, Tingting Chen, Bing Xu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Google Earth Engine (GEE)
high-resolution land cover mapping
Luojia-1
machine learning
Sentinel-2
Sentinel-1
Online Access:https://ieeexplore.ieee.org/document/9187534/

Internet

https://ieeexplore.ieee.org/document/9187534/

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