Unmanned aerial vehicle-based remote sensing for rangeland assessment, monitoring, and management

By Albert Rango, Andrea S. Laliberte, J. Herrick, C. Winters, K. Havstad, C. Steele, Dawn M. Browning. 2009

346 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Ecology

View Paper: https://www.semanticscholar.org/paper/491286c61158ad3024e1cef1faa52f2259e37196

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Citations in the corpus

Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments (2013, methodology): “[20] found that software designed to process aerial images by traditional digital photogrammetry is not well suited for unstructured image acquisition geometries.”
Survey on Unmanned Aerial Vehicle Networks for Civil Applications: A Communications Viewpoint (2016, methodology): “manually [47], [91], [93], or via a ground base station utilizing offline path planning for UAV’s autonomous flight [88], [94], [100].”
Assessment of a canopy height model (CHM) in a vineyard using UAV-based multispectral imaging (2017, background): “UAVs for remote sensing are increasingly being deployed for low-cost, on-demand aerial photography and photogrammetry applications (Harwin and Lucieer 2012; Rango et al. 2009).”
Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments (2011, methodology): “This study builds on previous work on development of workflows for UAS-based image acquisition, processing, and rangeland vegetation characterization using low-cost digital cameras [8,17,18].”
Weed detection by UAV: simulation of the impact of spectral mixing in multispectral images (2017, background): “UAVs can cover a large area in a short time while providing high spatial resolution (up to 10 mm/pixel), which allows detection of small objects such as weeds (Rasmussen et al. 2013).”
High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision (2013, neutral): “UAS are increasingly being deployed for low-cost, on-demand aerial photography and photogrammetry applications (Harwin & Lucieer, 2012; Hunt et al., 2010; Rango et al., 2009).”
Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring (2010, background): “Digital color photography from low flying manned aircraft or UAVs is being used for remote sensing in rangeland ecosystems [25,31-34], because small pixel sizes help identify determine ground cover of plants and bare soil.”
Aerial photography collected with a multirotor drone reveals impact of Eurasian beaver reintroduction on ecosystem structure1 (2015, background): “Recent research has highlighted the emerging use of unmanned/uninhabited aerial vehicles (UAVs or drones) in spatial ecology (Anderson and Gaston 2012) for environmental monitoring and management (Rango et al. 2009) including in impenetrable wetlands (Chabot and Bird 2013).”
Topographic structure from motion: a new development in photogrammetric measurement (2013, background): “However, Rango et al. (2009) found that unconstrained imagery acquired from a powered Unmanned Airborne System (UAS) was difficult to use in standard photogrammetry packages.”
Optimal Altitude, Overlap, and Weather Conditions for Computer Vision UAV Estimates of Forest Structure (2015, background): “Consumer-grade UAVs have reached a degree of technical maturity that, when equipped with digital cameras or other sensors, enable rapid and on-demand ‘personal remote sensing’ of landscapes at high spatial and temporal resolution [12–19].”
Direct Georeferencing of Ultrahigh-Resolution UAV Imagery (2014, methodology): “Pix4D achieved a mean spatial error of 0.24 m with a standard deviation of 0.03 m, while the Bundler method had the worst mean spatial accuracy of 0.76 m with a standard deviation of 0.15 m.”
An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds (2012, neutral): “[8] deployed a fixed wing UAV in the rangelands of southern New Mexico, acquiring imagery with at a 5–6 cm/pixel resolution.”