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ZENODO
Dataset . 2019
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
Data sources: ZENODO
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HailPixel Survey Data and Analysis from 26 November 2018, San Rafael, Argentina

Authors: Soderholm;

HailPixel Survey Data and Analysis from 26 November 2018, San Rafael, Argentina

Abstract

The following collection is used to demonstrate the HailPixel survey technique as part of an EGU ATM publication. The following is an abstract for this paper: A new technique, named "HailPixel," is introduced for measuring the maximum dimension and intermediate dimension of hailstones from aerial imagery. The photogrammetry procedure applies a convolutional neural network for robust detection of hailstones against complex backgrounds and an edge detection method for measuring the shape of identified hailstones. This semi-automated technique is capable of measuring many thousands of hailstones within a single survey, which is several orders of magnitude larger than population sizes from existing sensors (e.g., a hail pad). Comparison with a co-located hail pad for an Argentinan hailstorm event demonstrates the larger population size of the HailPixel survey significantly improves the shape and tails of the observed hail size distribution. When hailfall is sparse, such as during large and giant hail events, the large survey area of this technique is especially advantageous for resolving the hail size distribution. The dataset contains the DEM and orthomosaic imagery, processing reports, final location of hail centroids, final measurements of hail major and minor axis, subset offsets and hail pad data. For more information applying the subset offsets to calculate the true position of the hail centroids please see the paper.

Description of files 20181126_dsm.tif - Digital Elevation Model from 26 November 2018 San Rafael Survey 20181126_mosaic.tif - Orthomosaic Imagery from 26 November 2018 San Rafael Survey 20181126_pix4d_report.pdf - Orthomosaic Quality Report by the Pix4D workflow from 26 November 2018 San Rafael Survey final_hailpixel_centroids_all_hail.json - Final centroids of all detected hailstones used to generate figure 4. Please use subset_location.csv for calculating x0,y0 offsets of image subsets (using the index) final_hailpixel_major_minor_size.zip - Final major and intermediate axis size retrievals from hailpixel technique (for centroids in final_hailpixel_centroids_all_hail.json) used to generate figure 4 hail_pad_sizeretrieval.csv - retrieved hail size from hail pad subset_location.csv - location of subsets (pixel offsets for x0,y0) for all subsets generated from the orthomosaic

Keywords

meteorology

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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