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Improving the accuracy of forest aboveground biomass using Landsat 8 OLI images by quantile regression neural network for Pinus densata forests in southwestern China

Overview of attention for article published in Frontiers in Forests and Global Change, April 2023
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Title
Improving the accuracy of forest aboveground biomass using Landsat 8 OLI images by quantile regression neural network for Pinus densata forests in southwestern China
Published in
Frontiers in Forests and Global Change, April 2023
DOI 10.3389/ffgc.2023.1162291
Authors

Xiaoli Zhang, Lu Li, Yanfeng Liu, Yong Wu, Jing Tang, Weiheng Xu, Leiguang Wang, Guanglong Ou

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 29%
Student > Ph. D. Student 2 29%
Lecturer 1 14%
Unknown 2 29%
Readers by discipline Count As %
Unspecified 2 29%
Computer Science 1 14%
Agricultural and Biological Sciences 1 14%
Earth and Planetary Sciences 1 14%
Unknown 2 29%