Inversion of intertidal zone topography based on optimized random forest regression characteristic parameters-Reference-Cited by-同舟云学术

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Inversion of intertidal zone topography based on optimized random forest regression characteristic parameters

Published:2023-05-16 Issue:1 Volume:38 Page:
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Tang Wei¹,Zhao Chengyi¹,Lin Jing¹,Jiao Caixia¹,Zheng Guanghui¹,Zhu Jianting²,Pan Xishan³,Han Xue³

Affiliation:

1. School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing, PR China

2. Department of Civil and Architectural Engineering, University of WY, Laramie, WY, USA

3. Coastal Research Center of Jiangsu, Nanjing, PR China

Funder

the National Natural Science Foundation of China grant

the Innovative and Entrepreneurial Talent Program of Jiangsu Province grant

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2023.2213196

Reference53 articles.

1. Coupling terrestrial LiDAR and video imagery to perform 3D intertidal beach topography

2. Random forest classification of salt marsh vegetation habitats using quad-polarimetric airborne SAR, elevation and optical RS data

3. Between the tides: Modelling the elevation of Australia's exposed intertidal zone at continental scale

4. Classification And Regression Trees

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