Data · dataset · 2026
LuoJia-FG
Listed in ScienceDB
LuoJia-FG is a large-scale, attribute-driven, and hierarchically structured multimodal land-cover dataset designed to bridge the semantic gap in high-resolution Earth observation.
Description
It is tailored for fine-grained land-cover interpretation and next-generation vision-language models by integrating pixel-level visual information with structured semantic descriptions.The dataset contains 119,619 image-mask-text triplets derived from Gaofen-2, Ziyuan-3, and aerial imagery, with spatial resolutions ranging from 0.5 m to 2.0 m.
The samples cover approximately 1.59 million km^2 across six representative provinces and autonomous regions in China, including Anhui, Shaanxi, Hainan, Xinjiang, Gansu, and Qinghai, capturing diverse biogeographical landscapes and heterogeneous land-cover patterns.LuoJia-FG provides a three-level hierarchical taxonomy consisting of 8 primary classes, 52 secondary classes, and 95 tertiary fine-grained classes. Beyond conventional image-mask annotations, it introduces an attribute-coding system that generates attribute-driven textual descriptions based on physical properties such as vegetation structure, canopy density, phenology, land-use function, and spatial context.
Read the rest (1 more)
This design enables the dataset to support not only semantic segmentation but also hierarchical classification, open-vocabulary semantic segmentation, visual question answering, and text-guided geospatial understanding.To improve representativeness, LuoJia-FG adopts a knowledge-guided sampling strategy based on landscape heterogeneity, prioritizing complex and fragmented regions with rich semantic boundaries. Together with the CLIP-guided Hierarchical Classification Network benchmark, the dataset provides a challenging and extensible testbed for developing attribute-aware remote sensing vision-language models and advancing fine-grained Earth observation.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.33946 ↗
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 · Economics & Finance · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Satellite remote sensing 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.33946 | 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:economics-finance | 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: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 |