Data · dataset · 2026
Agricultural Ecological Ground Observation Data Set of the Black Soil Region in Northeast China (V2.0)
Listed in ScienceDB
The agricultural ecological ground observation data set (V2.0) of the black soil area in Northeast China was generated based on the real-time agricultural ecological ground observation data collected by 32 fully automatic agricultural ecological observation stations deployed in the black soil area of Northeast China.
Description
The dataset includes 10 types of element data such as air temperature, relative humidity, air pressure, wind speed, light, rainfall, soil temperature, soil moisture, and visible light and near-infrared images of crops collected and wirelessly transmitted throughout the entire growth cycle of crops such as corn, soybeans, and rice.
In terms of space, the agricultural ecological observation stations that collected the data achieved comprehensive coverage of the 7 black soil protection and utilization demonstration zones organized by the strategic leading scientific and technological project of the Chinese Academy of Sciences - "Black Soil Protection and Utilization Innovation Science and Technology Project (Black Soil Granary)". They are located in Qiqihar City of Heilongjiang Province (with a total of 15 stations, monitoring crop types including corn, rice, soybeans, vegetables, etc.), Shuangyashan City (with 1 station, monitoring crop type as corn), Suihua City (with 1 station, monitoring crop type as corn), Changchun City of Jilin Province (with 1 station, monitoring crop type as corn), Panjiashan City (with a total of 10 stations, monitoring crop types including rice, mountain fruit trees, and mountain black hazelnuts, etc.), Siping City (with 1 station, monitoring crop type as corn), Songyuan City (with 1 station, monitoring crop type as corn), Liaoning Province's Tieling City (with 1 station, monitoring crop type as corn), and Hulunbuir City of Inner Mongolia (with 1 station, monitoring crop type as soybeans).
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In terms of time, the time resolution of air temperature, relative humidity, air pressure, wind speed, light, rainfall, and soil temperature and soil moisture data is 30 minutes, and the frequency of collecting and transmitting crop visible light and near-infrared images is 5 times per day (from 8:00 a.m. to 4:00 p.m., with one collection every 2 hours). The time collection frequency can be adjusted as needed according to the "combined peace and war" mode of the black soil intelligent control and decision support platform, such as in case of extreme weather like diseases and pests, heavy rain, or hail, the parameter collection frequency can be increased to minute level to meet the emergency decision-making for black soil protection and utilization.
The dataset is stored in formats of.shp, .xlsx, .gif, and.jpg, and has been published in the Global Change Scientific Research Data Publishing System (dataset link: geodoi.ac.cn/WebCn/geodoi.aspx?Id=3224). It includes 3 data files of geographical locations, climate and soil ground observation data, and typical crop growth process images of 7 demonstration zones and 27 ground observation stations. After being compressed into one file, the data size is 49.2MB.
The dataset will be updated every three months.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.iga.001ar ↗
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 · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Agriculture, land and farm management 73% · Image 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.IGA.001ar | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3002 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (73%) |
| 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:ocean-atmospheric | 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 |