Correction of global digital elevation models in forested areas using an artificial neural network-based method with the consideration of spatial autocorrelation
To remove vegetation bias (VB) from the global DEMs (GDEMs), an artificial neural network (ANN)-based method with the consideration of elevation spatial autocorrelation is developed in this paper. Three study sites with different forest types (evergreen, mixed evergreen-deciduous, and deciduous) are...
Main Authors: | Yanyan Li, Linye Li, Chuanfa Chen, Yan Liu |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-12-01
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Series: | International Journal of Digital Earth |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/17538947.2023.2203953 |
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