Geo-Object-Based Vegetation Mapping via Machine Learning Methods with an Intelligent Sample Collection Scheme: A Case Study of Taibai Mountain, China

Geo-Object-Based Vegetation Mapping via Machine Learning Methods with an Intelligent Sample Collection Scheme: A Case Study of Taibai Mountain, China

Precise vegetation maps of mountainous areas are of great significance to grasp the situation of an ecological environment and forest resources. In this paper, while multi-source geospatial data can generally be quickly obtained at present, to realize effective vegetation mapping in mountainous area...

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Bibliographic Details
Main Authors: Tianjun Wu, Jiancheng Luo, Lijing Gao, Yingwei Sun, Wen Dong, Ya’nan Zhou, Wei Liu, Xiaodong Hu, Jiangbo Xi, Changpeng Wang, Yun Yang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
vegetation mapping
geo-objects
remote sensing
multi-source geospatial data
sample collection and purification
Online Access:https://www.mdpi.com/2072-4292/13/2/249

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https://www.mdpi.com/2072-4292/13/2/249

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