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ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Hail Event on 2022-06-28 in Locarno-Monti (TI), Switzerland: Drone Photogrammetry Imagery, Mask R-CNN Model and Analysis Data of Hailstones

Authors: Lainer, Martin; Portmann, Jannis;

Hail Event on 2022-06-28 in Locarno-Monti (TI), Switzerland: Drone Photogrammetry Imagery, Mask R-CNN Model and Analysis Data of Hailstones

Abstract

event_detection_full.nc This contains the full HSD dimensions: n = 12686 ;variables: float hail_major_axis(n) ; hail_major_axis:description = "Hailstone major axis length in the image plane" ; hail_major_axis:units = "mm" ; float hail_minor_axis(n) ; hail_minor_axis:description = "Hailstone minor axis length in the image plane" ; hail_minor_axis:units = "mm" ; float hail_center_x(n) ; hail_center_x:description = "X-coordinate of the hailstone center pixel within the orthophoto" ; hail_center_x:units = "pixels" ; float hail_center_y(n) ; hail_center_y:description = "Y-coordinate of the hailstone center pixel within the orthophoto" ; hail_center_y:units = "pixels" ; string expert(n) ; expert:description = "The model for detecting hailstones is trained on the annotations of different experts" ; int64 n(n) ; double gsd ; gsd:description = "Ground Sampling Distance" ; gsd:units = "mm/pixel" ; // global attributes: :description = "NetCDF file containing hailstone data from a thunderstorm intercepted in Locarno-Monti (Canton of Ticino, Switzerland) on 2022-06-28. The data is based on tiles created from the orthophoto 20220628_odm-masked.png" ; :author = "Jannis Portmann (jannis.portmann@meteoswiss.ch), Martin Lainer (martin.lainer@meteoswiss.ch)" ; event_detection_test.nc dimensions: n = 444 ;variables: double detection_major_axis(n) ; detection_major_axis:description = "Detections major axis length in the image plane" ; detection_major_axis:units = "mm" ; double detection_minor_axis(n) ; detection_minor_axis:description = "Detections minor axis length in the image plane" ; detection_minor_axis:units = "mm" ; double detection_center_x(n) ; detection_center_x:description = "X-coordinate of the detection center pixel within the orthophoto" ; detection_center_x:units = "pixels" ; double detection_center_y(n) ; detection_center_y:description = "Y-coordinate of the detection center pixel within the orthophoto" ; detection_center_y:units = "pixels" ; string expert(n) ; expert:description = "The model for detecting hailstones is trained on the annotations of different experts" ; int64 n(n) ; double gsd ; gsd:description = "Ground Sampling Distance" ; gsd:units = "mm/pixel" ; // global attributes: :description = "NetCDF file containing detection test data from a thunderstorm intercepted in Locarno-Monti (Canton of Ticino, Switzerland) on 2022-06-28. The data is based on tiles created from the orthophoto 20220628_odm-masked.png" ; :author = "Jannis Portmann (jannis.portmann@meteoswiss.ch), Martin Lainer (martin.lainer@meteoswiss.ch)" ; event_annotation_test.nc dimensions: n = 391 ;variables: double annotation_major_axis(n) ; annotation_major_axis:description = "Annotation major axis length in the image plane" ; annotation_major_axis:units = "mm" ; double annotation_minor_axis(n) ; annotation_minor_axis:description = "Annotation minor axis length in the image plane" ; annotation_minor_axis:units = "mm" ; double annotation_center_x(n) ; annotation_center_x:description = "X-coordinate of the annotation center pixel within the orthophoto" ; annotation_center_x:units = "pixels" ; double annotation_center_y(n) ; annotation_center_y:description = "Y-coordinate of the annotation center pixel within the orthophoto" ; annotation_center_y:units = "pixels" ; string expert(n) ; expert:description = "Expert that created the annotation" ; int64 n(n) ; double gsd ; gsd:description = "Ground Sampling Distance" ; gsd:units = "mm/pixel" ; // global attributes: :description = "NetCDF file containing annotation data from a thunderstorm intercepted in Locarno-Monti (Canton of Ticino, Switzerland) on 2022-06-28. The data is based on tiles created from the orthophoto 20220628_odm-masked.png" ; :author = "Jannis Portmann (jannis.portmann@meteoswiss.ch), Martin Lainer (martin.lainer@meteoswiss.ch)" ;

events.zip annotations Expert 1 Annotations test.json val.json train.json Images Test 10 tiles 600x600px with 50px overlap in each direction Train (train/val) 30 tiles 600x600px with 50px overlap in each direction Expert 2 Annotations test.json val.json train.json Images Test 10 tiles 600x600px with 50px overlap in each direction Train (train/val) 30 tiles 600x600px with 50px overlap in each direction Expert 3 Annotations test.json val.json train.json Images Test 10 tiles 600x600px with 50px overlap in each direction Train (train/val) 30 tiles 600x600px with 50px overlap in each direction detections masked (full orthophoto) Expert 1 pkl Expert 2 pkl Expert 3 pkl test (test set only) Expert 1 pkl Expert 2 pkl Expert 3 pkl Orthophoto (masked) 20220628_odm-masked.png Full orthophoto with masked areas 20220628_odm-masked 435 tiles 600x600px generated from the orthophoto with 50px overlap in each direction Models Expert 1 model_final.pth metrics.json last_checkpoint event.out.fsevents Expert 2 model_final.pth metrics.json last_checkpoint event.out.fsevents Expert 3 model_final.pth metrics.json last_checkpoint event.out.fsevents

This hail data collection belongs to a drone hail survey performed on 2022-06-28 in Locarno-Monti (TI, Switzerland). The supercell reached the location around 07:50 UTC in the morning. Only one photogrammetry flight could be performed and thus no estimation of the hail melting process is available. The orthophoto is masked to ignore parts where detection of hail is unwanted. Expert 1 (lai, mlainer), Expert 2 (jtm), Expert 3 (por, jportmann)

Keywords

Hail, HSD, Photogrammetry, UAV, Drone, Hailstorms

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average