Ebee rtk and multispec 4c
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We found aerial lidar to be more accurate for characterizing the bare earth (ground) in dense herbaceous vegetation than either terrestrial lidar or aerial SfM photogrammetry. To explore the potential for combining platforms, we compared detection bias amongst two 3D remote sensing techniques (lidar and SfM) using three different platforms. Yet, a combination of platforms and techniques might provide solutions that overcome the weakness of a single platform. Three dimensional (3D) remote sensing technologies like lidar, and techniques like structure from motion (SfM) photogrammetry, each have strengths and weaknesses at detecting vegetation volume and extent, given the instrument's ground sample distance and ease of acquisition. Remotely sensing recent growth, herbivory, or disturbance of herbaceous and woody vegetation in dryland ecosystems requires high spatial resolution and multi-temporal depth. 4USDA Agricultural Research Service, Southwest Watershed Research Center, Tucson, AZ, United States.3Informatics and Computing Program, Northern Arizona University, Flagstaff, AZ, United States.2School of Natural Resource and Environment, University of Arizona, Tucson, AZ, United States.1BIO5 Institute, University of Arizona, Tucson, AZ, United States.Nichols 4, Philip Heilman 4 and Jason McVay 3