Data · dataset · 2021
High-precision aerial imagery and interpretation dataset of landslide and debris flow disaster in Sichuan and surrounding areas
Listed in ScienceDB
Based on the landslides and debris flow disasters high-resolution digital orthophoto map (with the resolution of 0.2 m~0.9 m) in Sichuan province and its surrounding area since 2008, this paper uses visual interpretation methods to extract landslides and debris flow disasters and label the disasters.
Description
A set of the most accurate and most typical aerial imagery and interpretation data sets of landslides and debris flows are developed.
The data set contains 107 typical landslide and debris flow hazard images, annotation data and description files, involving four types of disasters, including earthquake landslides, rainfall landslides, gully debris flows and slope debris flows. The disasters selected for the data sets covers the “5·12” Wenchuan, “4·20” Lushan, “8·8” Jiuzhaigou earthquake affected area, as well as the areas along the Jinsha River and Dadu River.
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The quality of this data set is very good, because of high-precision image data sources, interpretation and annotations by geohazard experts, and detailed disaster information. Compared with previous relevant data sets, this data set is more valuable in terms of data source quality, data set completeness and potential applications. It can not only be used for automatic interpretation of landslides and debris flow disasters, but also for disaster distribution and risk assessment research.
Links
Where it is published
- DOI doi.org/10.11922/sciencedb.j00001.00222 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.11922%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Geomatic engineering 71% · Image 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.11922/sciencedb.j00001.00222 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4013 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |