A New U-Net Based Convolutional Neural Network for Estimating Caribou Lichen Ground Cover from Field-Level RGB Images-Reference-Cited by-同舟云学术

A New U-Net Based Convolutional Neural Network for Estimating Caribou Lichen Ground Cover from Field-Level RGB Images

Published:2022-11-02 Issue:6 Volume:48 Page:849-872
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Lovitt Julie¹,Richardson Galen¹,Rajaratnam Krishan²,Chen Wenjun¹,Leblanc Sylvain G.¹,He Liming¹,Nielsen Scott E.³,Hillman Ashley³,Schmelzer Isabelle⁴,Arsenault André⁵

Affiliation:

1. Canada Centre for Remote Sensing, NRCan, Ottawa, ON K1A 0E4, Canada

2. Natural Resources Canada Digital Accelerator, NRCan, Ottawa, ON K1A 0E4, Canada

3. Department of Renewable Resources, University of Alberta, Edmonton, AB T6G 2R3, Canada

4. Department of Fisheries, Forestry and Agriculture, Government of Newfoundland and Labrador, Corner Brook, NL A2H 7E1, Canada

5. Canadian Forest Service, NRCan, Corner Brook, NL A2H 6J3, Canada

Funder

Earth Observation Baseline Data for Cumulative Effects

Canada Center for Mapping and Earth Observation

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/07038992.2022.2144179

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3. Comparison of Point Intercept and Image Analysis for Monitoring Rangeland Transects

4. Digital Photograph Analysis for Measuring Percent Plant Cover in the Arctic

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