Agriculture-Ecosystem Observation Station (AEOS) Dataset Covering Black Earth Area in Northeast of China (Since 2021）

FU Jingying1LIAO Xiaoyong1JIANG Dong1LENG Guoyong1LIANG Aizhen2AO Man2,3CHEN Haihua4ZHU Xiaoguang5CHEN Cunhua6HOU Ruixing1,7GUAN Yixin2LIN Gang1LI Cheng8QI Li9CHI Dexiang10LEI Zhigang6LUO Sheng11LIU Zichen4ZHANG Dapeng6LIU Dongfang5LI Xiang1GAO Qiang1YAN Shi12LI Quanbiao5GAO Liyao5

1 Institute of Geographic Sciences and Natural Resource Research，Chinese Academy of Sciences，Beijing 100101，China2 Northeast Institute of geography and Agroecology，Chinese Academy of Sciences，Changchun 130102，China3 Lishu County People's Government，Lishu 136500，Jilin，China4 Institute of Computing Technology，Chinese Academy of Sciences，Beijing 100190，China5 Beijing Tian Hang Hua Chuang Technology Co.，Ltd.，Beijing 100085，China6 Panshi City Agriculture and Rural Affairs Bureau，Panshi 132300，Jilin，China7 Qiqihar City Agriculture and Rural Affairs Bureau，Qiqihar 161000，Heilongjiang，China8 Engineering Laboratory of intelligent agricultural machinery and equipment，Chinese Academy of Sciences，Beijing 100086，China9 Lishu Academy of Agricultural Sciences，Lishu 136500，Jilin，China10 Yi'an County Agriculture and Rural Affairs Bureau，Qiqihar 161500，Heilongjiang，China11 Agricultural Technology Extension Center of Yi'an County，Qiqihar 161500，Heilongjiang，China12 Lanjia Rice Planting Cooperative in Panshi City，Panshi 132300，Jilin，China

DOI:10.3974/geodb.2022.06.08.V1

Published:Jun. 2022

Visitors：1938       Data Files Downloaded：162      
Data Downloaded：4881.21 MB      Citations：

Key Words：

Northeast of China,black soil granary,positioning observation station,agriculture ecosystem

Abstract：

Based on the scientific and technological innovation for supporting the black earth environment, the authors’ team initialed to establish the agriculture-ecosystem observation stations (AEOS) covering the black earth area in Northeast of China in 2021. As the first package, 27 automatic agricultural ecological observation stations in Qiqihar (Heilongjiang Province), Panshi and Lishu (Jilin Province), Dahewan, Hulunbuir (Inner Mongolia) were established. As the part of the system, the intelligent observation system has the functions of multi-sensor data real-time transmission, digital image automatic processing, storage and statistical analysis. The observation stations have the IOT sensing functions, which can monitor the vegetation growth, meteorological condition, and air quality and soil parameter. The system provides the real-time data collection and wireless transmission of 10 types of observation data, including air temperature, relative humidity, air pressure, wind speed, luminance, precipitation, soil temperature, soil moisture, visible images and near-infrared images of crops. The time resolution of the observation data of meteorological conditions and soil parameters is 30 minutes. The frequency of acquisition and transmission for the images is 5 times/day (collect data every 2 hours from 8:00 a.m. to 16:00 p.m., the frequency can be adjusted as required). The dataset includes: (1) geo-location of the sample areas and observation stations; (2) climate and soil observation data; (3) the video images of typical crop growth process. The dataset is archived in .shp, .xlsx, and .gif data formats, and consists of 45 data files with data size of 30.4 MB (Compressed into one single file with 30.1 MB).

Foundation Item：

Chinese Academy of Sciences (XDA28060400)

Data Citation：

FU Jingying, LIAO Xiaoyong, JIANG Dong, LENG Guoyong, LIANG Aizhen, AO Man, CHEN Haihua, ZHU Xiaoguang, CHEN Cunhua, HOU Ruixing, GUAN Yixin, LIN Gang, LI Cheng, QI Li, CHI Dexiang, LEI Zhigang, LUO Sheng, LIU Zichen, ZHANG Dapeng, LIU Dongfang, LI Xiang, GAO Qiang, YAN Shi, LI Quanbiao, GAO Liyao.Agriculture-Ecosystem Observation Station (AEOS) Dataset Covering Black Earth Area in Northeast of China (Since 2021）[J/DB/OL]. Digital Journal of Global Change Data Repository, 2022. https://doi.org/10.3974/geodb.2022.06.08.V1.

Data Product: