Data · dataset · 2018
A dataset of lake ice phenology in Qinghai Lake from 2000 to 2018
Listed in ScienceDB
Lake ice phenology is considered a sensitive indicator of regional climate change.
Description
Qinghai Lake is the largest saltwater lake in China. Its lake ice phenological characters and changes have attracted much attention.
Based on remote sensing datasets including the MOD09GQ surface reflectance product and Landsat TM/ETM+/OLI images, a dataset of lake ice phenology in Qinghai Lake from 2000 to 2018 was built by using RS and GIS technologies. Due to spectral differences between lake ice and lake water, the method of threshold segmentation was adopted to extract the ice area of Qinghai Lake based on MOD09GQ product, which was achieved by setting a reflectance threshold for red band and a reflectance difference threshold between red and near-infrared bands.
Read the rest (2 more)
The extracted ice area was then validated against the visually interpreted ice area based on Landsat TM/ETM+/OLI images, which showed a relative error of 0.8％ only. This dataset includes ice-water vector boundary data, area ratio, and phenological characters in Qinghai Lake from 2000 to 2018. Specifically, phenological information records the start and end dates of lake freeze-up and break-up, freeze-up periods, etc.
This dataset provides an important reference for exploring the spatio-temporal characteristics of lake ice in Qinghai Lake, as well as for formulating responses of lake ice-based climate changes in the region.
Links
Where it is published
- DOI doi.org/10.11922/sciencedb.634 ↗
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
- Climate change science 69% · Image 65% · Satellite remote sensing 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.11922/sciencedb.634 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3702 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| 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 (65%) |
| concepts[modality].local:modality:remote-sensing | 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 |