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Relevant bibliographies by topics / Aerial spread

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Journal articles

Academic literature on the topic 'Aerial spread'

Author: Grafiati

Published: 10 March 2023

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Journal articles on the topic "Aerial spread"

1

Mundt, Christopher C., Kathryn E. Sackett, LaRae D. Wallace, Christina Cowger, and Joseph P. Dudley. "Aerial Dispersal and Multiple-Scale Spread of Epidemic Disease." EcoHealth 6, no. 4 (2009): 546–52. http://dx.doi.org/10.1007/s10393-009-0251-z.

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2

Shelstad, Dixon, Lloyd Queen, David French, and Daniel Fitzpatrick. "Describing the Spread of Oak Wilt Using a Geographic Information System." Arboriculture & Urban Forestry 17, no. 7 (1991): 192–99. http://dx.doi.org/10.48044/jauf.1991.047.

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The oak wilt fungus (C. fagacearum) spreads both through root grafts to adjacent trees and via insects over longer distances. Effective control of the disease requires a better understanding of the spatial and temporal components of both types of spread. Towards that end, color infrared aerial photography covering a ten-year interval of time was interpreted and then analyzed using a GIS for purposes of describing spread rates and areas affected. The GIS allowed rapid and thorough assessment of both overland and local disease spread. New infection centers were found to occur at greater distance

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3

Honda, Yoko, Norihisa Yokouchi, and Tomohide Okada. "Research on the Aerial Spread of Waterfront Development in Surrounding Areas." Journal of the City Planning Institute of Japan 37 (2002): 1087. http://dx.doi.org/10.11361/cpij1.37.0.1087.0.

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4

Honda, Yoko, Norihisa Yokouchi, and Tomohide Okada. "Research on the Aerial Spread of Waterfront Development in Surrounding Areas." Journal of the City Planning Institute of Japan 37 (2002): 1087–92. http://dx.doi.org/10.11361/journalcpij.37.1087.

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5

Lee, Jihwan, Chulyoung Kwak, Seongwon Kim, and Saewoong Bahk. "Reliable and Low-Complexity Chirp Spread Spectrum-Based Aerial Acoustic Communication." IEEE Access 8 (2020): 151589–601. http://dx.doi.org/10.1109/access.2020.3017097.

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6

Baker, F. A., K. Knowles, T. R. Meyer, and D. W. French. "Aerial Applications of Ethylene-Releasing Chemicals Fail to Promote Abscission of Dwarf Mistletoe Aerial Shoots on Jack Pine." Forestry Chronicle 65, no. 3 (1989): 194–95. http://dx.doi.org/10.5558/tfc65194-3.

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The ethylene-releasing chemical Cerone was applied in early August to two strands of jack pine infested with the lodgepole pine dwarf mistletoe in northwestern Manitoba. Nine weeks after aerial application, Cerone failed to cause appreciable abscission of dwarf mistletoe aerial shoots, while almost 90% of the aerial shoots on branches treated from the ground had abscised. Ground application of Cerone could reduce spread of dwarf mistletoe by limiting seed production. Key Words: Arceuthobium, jack pine, chemical control

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7

Chok, S. E., M. C. E. Grafton, I. J. Yule, and M. J. Manning. "Capability of ground fertiliser placement when spread from fixed wing aircraft." NZGA: Research and Practice Series 16 (January 1, 2016): 191–95. http://dx.doi.org/10.33584/rps.16.2016.3230.

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Aerial topdressing using differential rate application technology improves fertiliser spreading on hill country farms. However, the system's ability to place fertiliser accurately and precisely within an area needs to be determined. Accuracy was determined by comparing measured and intended application rates. Precision was indicated by the coefficient of variation (CV), which is the standard deviation of the measured application rate over the mean of this rate. Two trials were carried out, where aircraft deposited fertiliser at two application rates and fertiliser was captured using cone-shape

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8

Correia, Carlos A. M., Fabio A. A. Andrade, Agnar Sivertsen, et al. "Comprehensive Direct Georeferencing of Aerial Images for Unmanned Aerial Systems Applications." Sensors 22, no. 2 (2022): 604. http://dx.doi.org/10.3390/s22020604.

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Optical image sensors are the most common remote sensing data acquisition devices present in Unmanned Aerial Systems (UAS). In this context, assigning a location in a geographic frame of reference to the acquired image is a necessary task in the majority of the applications. This process is denominated direct georeferencing when ground control points are not used. Despite it applies simple mathematical fundamentals, the complete direct georeferencing process involves much information, such as camera sensor characteristics, mounting measurements, attitude and position of the UAS, among others.

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9

Pastalka, Tomas, Suzanne Rooney-Latham, Kathleen Kosta, et al. "Monitoring Using a Sentinel Plant System Reveals Very Limited Aerial Spread of Phytophthora ramorum From Infected Ornamental Plants in a Quarantine Research Nursery." Plant Health Progress 18, no. 1 (2017): 9–16. http://dx.doi.org/10.1094/php-rs-16-0050.

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The potential aerial spread of Phytophthora ramorum, causal agent of sudden oak death and Ramorum blight, from infected plants in a quarantine research nursery at the National Ornamentals Research Site at Dominican University of California (NORS-DUC) to the environment was monitored weekly for five years (2011 to 2016) using a sentinel system. Phytophthora ramorum was never detected on any of the sentinel plants (Rhododendron, Viburnum, and Loropetalum spp), indicating very limited aerial spread under suboptimal meteorological and environmental conditions. An infection experiment with host pla

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10

Hart, Henry, Daniel D. B. Perrakis, Stephen W. Taylor, Christopher Bone, and Claudio Bozzini. "Georeferencing Oblique Aerial Wildfire Photographs: An Untapped Source of Fire Behaviour Data." Fire 4, no. 4 (2021): 81. http://dx.doi.org/10.3390/fire4040081.

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In this study, we investigate a novel application of the photogrammetric monoplotting technique for assessing wildfires. We demonstrate the use of the software program WSL Monoplotting Tool (MPT) to georeference operational oblique aerial wildfire photographs taken during airtanker response in the early stages of fire growth. We located the position of the fire front in georeferenced pairs of photos from five fires taken 31–118 min apart, and calculated the head fire spread distance and head fire rate of spread (HROS). Our example photos were taken 0.7 to 4.7 km from fire fronts, with camera a

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