Data · dataset · 2026
Global 30-m cropping intensity in 2020 (GCI30_2020)
Listed in ScienceDB
This product was generated using all available Landsat series and Sentinel-2 satellite imageries during 2019-2021.
Description
Due to the difference in crop calendar in the northern and southern hemispheres, there are minor variations in the acquisition dates of remote sensing data used in different agro-ecological zones. Most regions used data from February 2, 2019 to February 1, 2022 while products in many regions in the southern hemisphere were generated using remote sensing data from November1, 2018 to October 31, 2021.
Cropping intensity in a few regions was extracted based on satellite imageries from late August 2018 to mid-August 2021 due to the unique crop phenology. The geographical scope of this product includes 180º W to 180º E and 60º S to 80º N. High latitude areas in the northern and southern hemispheres and areas with no cropland are not included in the monitoring scope. The whole processing chain was automatically done by online code.
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All products were quality controlled by the experts to make sure all the tiles were correctly generated. Accuracy was first assessed over eight regions covering an area of 10º×10º across the globe with different agricultural practices. The overall accuracy is 90.4%.
The assessment was further expanded to global scale using 3662 samples, showing an overall accuracy of 92.9% for the whole globe.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00240.00157 ↗
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
- Satellite remote sensing 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00240.00157 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| 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_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |