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Deep Learning Based Burnt Area Mapping Using Sentinel 1 for the Santa Cruz Mountains Lightning Complex (CZU) and Creek Fires 2020
Published 2022-10-01“…The study presented here builds on previous synthetic aperture radar (SAR) burnt area estimation models and presents the first U-Net (a convolutional network architecture for fast and precise segmentation of images) combined with ResNet50 (Residual Networks used as a backbone for many computer vision tasks) encoder architecture used with SAR, Digital Elevation Model, and land cover data for burnt area mapping in near-real time. The Santa Cruz Mountains Lightning Complex (CZU) was one of the most destructive fires in state history. …”
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Habitat suitability assessment for tule elk in the San Francisco Bay and Monterey Bay areas
Published 2023-12-01“…Large unoccupied areas of historic tule elk range include the Santa Cruz Mountains and the northern Diablo and northern Santa Lucia ranges. …”
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Forest Roads Mapped Using LiDAR in Steep Forested Terrain
Published 2010-04-01“…This study tests the accuracy of forest road characteristics mapped using LiDAR in the Santa Cruz Mountains, CA. The position, gradient, and total length of a forest haul road were accurately extracted using a 1 m DEM. …”
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Initial Floristic Response to High Severity Wildfire in an Old-Growth Coast Redwood (<i>Sequoia sempervirens</i> (D. Don) Endl.) Forest
Published 2021-08-01“…A recent high severity wildfire that burned in the Santa Cruz Mountains affected a variety of vegetation types, including ancient coast redwood (<i>Sequoia sempervirens</i> (D. …”
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Surviving in steep terrain: a lab-to-field assessment of locomotor costs for wild mountain lions (Puma concolor)
Published 2020-08-01“…These data were used to predict energetic costs of locomotor behaviours of free-ranging pumas equipped with GPS/accelerometer collars in California’s Santa Cruz Mountains. Results Incline walking resulted in a 42.0% ± 7.2 SEM increase in the costs of transport compared to level performance. …”
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