Data · dataset · 2026
High-resolution distribution maps of single-season rice in China from 2017 to 2022
Listed in ScienceDB
Description in English:This dataset is the dataset of distribution maps of single-season rice in China, which contains distribution maps of single-season rice of 21 provincial administrative regions in China from 2017 to 2022.
Description
The file format is GeoTIFF and the spatial reference is WGS84 (EPSG:4326). The resolution of the distribution maps is 20-m in Heilongjiang, Jilin, Liaoning, Inner Mongolia, and Ningxia, and 10-m in the other provinces.
The distribution maps are produced using the time-weighted dynamic time warping (TWDTW) method based on Sentinel-1 and Sentinel-2 images. The overall accuracy over 21 provincial administrative regions was 85.23 % on average based on 108195 samples, and the average R2 was 0.83 over three years compared with county-level statistical planting areas.classification system:0: non-single-season rice1: single-season riceUpdates:v1.1: Compared with the distribution map of double-season rice from Pan et al.'s dataset (2021) (doi.org/10.3390/rs13224609), the two datasets overlapped in provinces where both single- and double-season rice were cultivated, including Anhui, Hubei, Hunan, Jiangxi, Zhejiang, Fujian, and Guangxi.
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Version 1.1 of this dataset was updated by reclassifying the overlapped pixels to ensure that the two datasets no longer overlap.v1.2: Fix error caused by the caliber of late rice statistics in Fujian Province.2024-02-23: Update distribution maps for the year 2023.2025-04-01: Update distribution maps for the year 2024.2026-02-27: Update distribution maps for the year 2025.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.06963 ↗
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
- Image 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.06963 | 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[modality].local:modality:image | 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 |