Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning-Reference-Cited by-同舟云学术

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Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Published:2024-05 Issue: Volume:305 Page:114109
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Nguyen Thiên-Anh^ORCID,Rußwurm Marc,Lenczner Gaston,Tuia Devis

Publisher

Elsevier BV

Reference64 articles.

1. Delving deeper into convolutional networks for learning video representations;Ballas,2016

2. Near real-time wildfire progression monitoring with sentinel-1 SAR time series and deep learning;Ban;Sci. Rep.,2020

3. Dynamic World, Near real-time global 10 m land use land cover mapping;Brown;Sci. Data,2022

4. Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences;Camps-Valls,2021

5. Semi-supervised semantic segmentation in Earth Observation: The MiniFrance suite, dataset analysis and multi-task network study;Castillo-Navarro;Mach. Learn.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Status, advancements and prospects of deep learning methods applied in forest studies;International Journal of Applied Earth Observation and Geoinformation;2024-07

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