Data · dataset · 2026
Multiple remote sensing vegetation index datasets at a resolution of 500 m for the Three-North Shelterbelt Program region from 2000 to 2025
Listed in ScienceDB
This dataset was developed based on the MODIS surface reflectance product MCD43A4 and its quality control product MCD43A2.
Description
The Near-Infrared Reflectance Vegetation Index (NIRv), Kernel Normalized Difference Vegetation Index (kNDVI), and Plant Phenology Index (PPI) were derived, and time-series harmonic analysis together with the Savitzky–Golay filtering method were applied for missing-value interpolation, outlier removal, and time-series reconstruction.
Based on these procedures, a 500 m, 8-day multi-remote-sensing vegetation index dataset for the Three-North Shelterbelt Program (TNSP) region from 2000 to 2025 was produced. The datasets were validated against ground-measured Gross Primary Productivity (GPP) data obtained from 14 flux tower observations during 2000-2025. Results indicate that all three vegetation indices are well correlated with GPP and effectively characterize the temporal variations in vegetation productivity.
Read the rest (1 more)
NIRv exhibited the best fitting performance with GPP (R² = 0.66, RMSE = 2.45, MAE = 1.67), followed by PPI and kNDVI. These datasets provide reliable data support for monitoring vegetation dynamics in the TNSP, investigating ecosystem responses to climate change in arid and semi-arid regions, and assessing the implementation effectiveness of major ecological restoration projects.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00001.01801 ↗
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
- Geomatic engineering 71% · Satellite remote sensing 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00001.01801 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4013 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| 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: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 |