Data · collection · 2022
Large Scale Hazard Indication Simulations for avalanches, canton of Grisons
Listed in NASA Earthdata CMR
We developed a workflow to generate Large Scale Hazard Simulations for avalanches based on digital elevation models and information on the protective function of the forest.
Description
This datasets contains the potential avalanche release areas (PRA) as polygons, the simulation outputs (maximum pressure, maximum flow velocity and maximum flow height) as .tif rasters and the outlines of the simulated avalanches (polygon) for the entire area of the canton of Grisons (7105 km2).
The simulations are performed for the scenarios wit return periods of 10, 30, 100 and 300 years, once with (FOR) and once without (NoFor) taking the effect of the forest into account. The details can be found in this publication: Bühler, Y., Bebi, P., Christen, M., Margreth, S., Stoffel, L., Stoffel, A., Marty, C., Schmucki, G., Caviezel, A., Kühne, R., Wohlwend, S., and Bartelt, P.: Automated avalanche hazard indication mapping on state wide scale, Nat.
Read the rest (1 more)
Hazards Earth Syst. Sci. Discuss., 2022, 1-22, 10.5194/nhess-2022-11, 2022.
Links
Where it is published
- DOI doi.org/10.16904/envidat.316 ↗
DOI / persistent id · from NASA CMR
Documentation and papers
- VIEW RELATED INFORMATION envidat.ch/dataset/large-scale-hazard-indication-simulations-for-avalanch… ↗
documentation · from NASA CMR
- GET RELATED VISUALIZATION envidat.ch/envidat_thumbnail.png ↗
preview image · from NASA CMR
Catalogue records · 2
- CMR UMM-JSON cmr.earthdata.nasa.gov/search/concepts/C2789815169-ENVIDAT.umm_json ↗
metadata API · from NASA CMR
- CMR record cmr.earthdata.nasa.gov/search/concepts/C2789815169-ENVIDAT.html ↗
catalogue entry · from NASA CMR
Topics
- Stated by source
- Land Surface Agriculture Indicators · Not provided
- Inferred from text
- Natural hazards 76% · Simulation 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NASA Earthdata CMR | C2789815169-ENVIDAT | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[field].anzsrc:field:370903 | enrichment · NASA CMR | taxonomy-embedding@1.1.0 | title+keywords+description (76%) |
| concepts[measured_variable].gcmd:earth-science/climate-indicators/land-surface-agriculture-indicators | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · NASA CMR | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[platform].gcmd_platform:not-provided | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| created_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| description | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/Abstract |
| license_text | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| publication_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| spatial | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/SpatialExtent |
| title | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/EntryTitle |
| updated_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| version_label | source · NASA CMR | connector:nasa_cmr@1.0.0 |