Data · dataset · 2024
10m Resolution Flood Inundation Extent Dataset for East Dongting Lake and Poyang Lake Regional (2012-2022)
Listed in ScienceDB
1.Data summaryThis dataset is based on water body data, water level data, and DEM data, and is obtained by simulation using the RFim model and U-net model.
Description
The dataset contains two sub-datasets (East Dongting Lake and Poyang Lake) and is available in .tif format. The .tif file has two values, i.e., "0" and "1", with "0" indicating unflooded and "1" indicating flooded.2.Data sourcesThe raw data for the simulated reconstruction of the flood inundation dataset come from the Sentinel-1 SAR data and Sentinel-2 MSI data provided by ESA, ALOS 12.5mDEM data provided by the official website of NASA, and water level data provided by the website of River Water Intelligence Table.
This data is a phase result of the National Key Research and Development Program for Young Scientists: Intelligent Analysis and Mining Technology and Software for Spatial and Temporal Processes Based on Multi-source Big Data (
Read the rest (3 more)
Project
No.: 2021YFF0704400).3.A method of producing or processing dataBased on the water body data, DEM data and water level data, the relationship between water level and flood inundation extent was established using the RFim model and the U-net model, which was then simulated and reconstructed to obtain this dataset.4.Data space projectionWGS845.Description of data qualityThe overall accuracy of the data set is 88% ~ 97% , and the kappa coefficient is 0.601 ~ 0.932.
The overall accuracy in East Dongting Lake is 88% ~ 97% with kappa coefficient greater than 0.67, while that in Poyang Lake is 89% ~ 97% with kappa coefficient greater than 0.6. Data quality is good.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.11101 ↗
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
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Simulation 75% · Tabular 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.11101 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · 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:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:tabular | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| 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 |