Convolutional neural network-mapped Russian olive in Wuda Ogwa (Bear River) riparian corridor (2009, 2015, and 2021)
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资源简介：
1m-resolution map of Russian olive (Elaeagnus angustifolia) change trajectories in Wuda Ogwa (Bear River) riparian corridor from 2009 to 2015 to 2021. Individual presence/absence maps were created using a U-Net convolutional neural network trained on National Agriculture Inventory Program (NAIP) high-resolution aerial imagery. These maps were then combined to create a map with 8 change trajectories: Never present (0-0-0) Persistent presence (1-1-1) Gain by 2015 (0-1-1) Gain by 2021 (0-0-1) Loss after 2009 (1-0-0) Loss after 2015 (1-1-0) Present only in 2015 (0-1-0) Absent only in 2015 (1-0-1)
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Zenodo创建时间：
2026-09-30
