Data · dataset · 2026
AIRCAS-BathyPhotonV1.0
Listed in ScienceDB
AIRCAS-BathyPhotonV1.0 is a benchmark dataset for ICESat-2 shallow-water photon semantic classification.
Description
It is constructed from ICESat-2 ATL03 geolocated photon data and contains 1,136 beam-level along-track photon profiles with 59,268,059 photon records from global coastal, island-reef, and shallow-water regions. Each photon is manually annotated using a unified four-class labeling scheme: bathy photons, surface photons, land photons, and other photons, corresponding to labels 40, 41, 1, and 0, respectively.The dataset provides photon-level CSV files, file-level metadata, and fixed train/validation/test split files for reproducible evaluation.
The metadata include region, ATL03 granule, beam, scene attributes, photon counts, class composition, spatial extent, and signal characteristics. The dataset covers diverse observation conditions, including coastal land-water transition, clear shallow water, high-background noise, deep-water weak bathymetric signal, and complex seafloor relief. It is designed to support fair comparison and robustness evaluation of ICESat-2 shallow-water photon classification methods.
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The associated DASNet code is available at github.com/zwshi-pku/DASNet.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.43314 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Geophysics 72%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.43314 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3706 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (72%) |
| concepts[field].local:field:computer-science-ai | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| 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:ocean-atmospheric | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| 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 |