Table · dataset · 2026
Monthly Mapping of China’s Sectoral CO₂ Emissions at 1 km Using Earth Observation Settlement Products and Emission-Source Infrastructure
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<p dir="ltr">This dataset provides monthly, sector-resolved fossil-fuel CO₂ emissions for China from January 2000 to December 2024 at a spatial resolution of 1 km.
Description
It contains two components: (A) 300 monthly six-band GeoTIFF files and (B) national-, provincial-, and prefecture-level emission tables at monthly and annual temporal resolutions.</p><p dir="ltr">Each GeoTIFF contains six emission sectors in a fixed band order: power, industrial combustion, buildings, transport, fuel exploitation, and industrial processes.
The rasters use the World Equidistant Cylindrical projection (EPSG:6933) with 1000 m × 1000 m grid cells. Emissions are expressed as Mg CO₂ cell⁻¹ month⁻¹, and cells outside the Chinese national boundary are assigned a NoData value of −9999.</p><p dir="ltr">The dataset was produced using a sector-specific, mass-conserving spatial allocation framework. EDGAR provides the controlling sectoral and monthly emission totals, while Earth observation-derived settlement products, the ODIAC fossil-fuel spatial prior, geolocated emission-source infrastructure, population, built-up surface, and road-network information provide sector-dependent spatial evidence.
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Provincial power emissions for 2000–2022 additionally incorporate a soft constraint derived from the Carbon Emission Accounts and Datasets database. All spatial allocation procedures preserve the prescribed sector-month emission masses.</p><p dir="ltr">The accompanying tabular data (B) report emissions by sector and as six-sector totals at national, provincial, and prefecture levels. The tables are supplied in CSV format and are intended to support temporal analysis, regional comparisons, atmospheric-model input preparation, and evaluation of subnational emission patterns.</p><p dir="ltr">This product is a spatially allocated bottom-up emission inventory.
It is not a direct satellite retrieval of atmospheric CO₂ and should not be interpreted as uniformly validated at the individual 1 km grid-cell level. Spatial reliability differs among sectors; users should consult the accompanying documentation, quality-control records, and validation results when selecting an appropriate spatial scale for analysis.</p>
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Where it is published
- DOI doi.org/10.6084/m9.figshare.33779689.v2 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Greenhouse gas inventories and fluxes · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Satellite remote sensing · Social Science
- Inferred from text
- Tabular 75%
Provenance · 1 source records, 19 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/33779689 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].anzsrc:field:370203 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Greenhouse gas inventories and fluxes'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[modality].local:modality:remote-sensing | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Earth observation'] |
| concepts[modality].local:modality:tabular | enrichment · figshare com | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
| license | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |