Potential of Convolutional Neural Networks for Forest Mapping Using Sentinel-1 Interferometric Short Time Series

Research article (Remote Sensing, 2022) · cited 15× · AI/ML
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Potential of Convolutional Neural Networks for Forest Mapping Using Sentinel-1 Interferometric Short Time Series

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Potential of Convolutional Neural Networks for Forest Mapping Using Sentinel-1 Interferometric Short Time Series is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Potential of Convolutional Neural Networks for Forest Mapping Using Sentinel-1 Interferometric Short Time Series. Retrieved May 24, 2026, from https://4ort.xyz/entity/potential-of-convolutional-neural-networks-for-forest-mapping-using-sentinel-1-interferometric-short-time-series
MLA “Potential of Convolutional Neural Networks for Forest Mapping Using Sentinel-1 Interferometric Short Time Series.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/potential-of-convolutional-neural-networks-for-forest-mapping-using-sentinel-1-interferometric-short-time-series.
BibTeX @misc{4ortxyz_potential-of-convolutional-neural-networks-for-forest-mapping-using-sentinel-1-interferometric-short-time-series_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Potential of Convolutional Neural Networks for Forest Mapping Using Sentinel-1 Interferometric Short Time Series}}, year = {2026}, url = {https://4ort.xyz/entity/potential-of-convolutional-neural-networks-for-forest-mapping-using-sentinel-1-interferometric-short-time-series}, note = {Accessed: 2026-05-24}}
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