Long Time Series High-Quality and High-Consistency Land Cover Mapping Based on Machine Learning Method at Heihe River Basin

Long Time Series High-Quality and High-Consistency Land Cover Mapping Based on Machine Learning Method at Heihe River Basin

Long time series of land cover changes (LCCs) are critical in the analysis of long-term climate, environmental, and ecological changes. Although several moderate to fine resolution global land cover datasets have been publicly released and they show strong consistency at the global scale, they have...

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Bibliographic Details
Main Authors: Bo Zhong, Aixia Yang, Kunsheng Jue, Junjun Wu
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
land cover
time series remote sensing
times series transfer learning
samples migration
random forest
machine learning for remote sensing
Online Access:https://www.mdpi.com/2072-4292/13/8/1596

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https://www.mdpi.com/2072-4292/13/8/1596

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