Deep Learning Approaches for the Mapping of Tree Species Diversity in a Tropical Wetland Using Airborne LiDAR and High-Spatial-Resolution Remote Sensing Images

The monitoring of tree species diversity is important for forest or wetland ecosystem service maintenance or resource management. Remote sensing is an efficient alternative to traditional field work to map tree species diversity over large areas. Previous studies have used light detection and rangin...

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מידע ביבליוגרפי
Main Authors: Ying Sun, Jianfeng Huang, Zurui Ao, Dazhao Lao, Qinchuan Xin
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2019-11-01
סדרה:Forests
נושאים:
tree species diversity
tropical wetland
high-resolution remote sensing images
lidar
individual tree level
deep learning
גישה מקוונת:https://www.mdpi.com/1999-4907/10/11/1047
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