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- HydroMoth GroupGets campaign
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- New papers on passive acoustic monitoring
PAM & transfer learning, defining occupancy in surveys, effects of anthropogenic noise on fish, soundscapes to track ecosystem recovery, detecting sharks with echosounders, using PAMGuard to detect marine mammals
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- Hello there
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- Introducing the WILDLABS On the Edge Fellows
<p>We're proud to introduce the first <strong>WILD</strong>LABS On the Edge Fellows for 2022, Loretta Schindlerova and Meredith Palmer! Working alongside expert Edge Impulse mentors, these two fellows will use embedded machine learning to bring innovative projects to life.</p>
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- Earth Ranger Projection
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- New Paper: Comparative Analysis of Multi-Platform, Multi-Resolution, Multi-Temporal LiDAR Data for Forest Inventory
This study presents a comprehensive comparison of point clouds from four systems, linear and Geiger-mode LiDAR from manned aircraft and multi-beam LiDAR on unmanned aerial vehicle (UAV), and in-house developed Backpack, with the consideration of different forest canopy cover scenarios.
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- New Conservation Tech Directory update
Microchip has just announced the 1 GHz SAMA7G54 single-core Arm Cortex-A7 microprocessor (MPU) with MIPI CSI-2 and parallel camera interfaces, as well as up to four I2S, one SPDIF transmitter and receiver, and a 4-stereo channel audio sample rate converter.
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