2008—2022年黄河故道冲积平原区冬小麦和夏玉米物候期观测数据集  

The Dataset for Crop Phenology of Winter Wheat and Summer Maize in The Alluvium Plain of the Old Yellow River From 2008 to 2022

作　　者：丁大伟[1,2] 雍蓓蓓 任文 谢坤 赵永鉴 王广帅 陈金平[1,2] 王明辉 DING DaWei;YONG BeiBei;REN Wen;XIE Kun;ZHAO YongJian;WANG GuangShuai;CHEN JinPing;WANG MingHui(Institute of Farmland Irrigation of CAAS,Xinxiang 453002,China;Shangqiu Station of National Field Agro-ecosystem Experimental Network/National Agricultural Experimental Station for Agricultural Environment/National Long-term Experimental Station for Agricultural Green Development,Shangqiu 476000,China;Rural Industry Development Center of Shangqiut,Shangqiu 476000,China)

机构地区：[1]中国农业科学院农田灌溉研究所,河南新乡453002 [2]国家农业环境商丘观测实验站/河南商丘农田生态系统国家野外科学观测研究站/国家农业绿色发展长期固定观测商丘试验站,河南商丘476000 [3]商丘市乡村产业发展中心,河南商丘476000

出　　处：《农业大数据学报》2024年第4期552-557,共6页Journal of Agricultural Big Data

基　　金：中央级公益性科研院所基本科研业务费专项(Y2024JC31,Y2024JC08,IFI2024-24);河南省科技攻关计划项目(242102110222);国家农业环境商丘观测实验站(NAES038AE05)。

摘　　要：冬小麦和夏玉米是黄淮平原农田生态系统中的主粮作物,为保障国家粮食安全作出了突出贡献。准确掌握主粮作物关键物候期对估算作物产量、改进农业生产管理水平、预防农业气象灾害具有重要意义。本数据集整合了黄河故道冲积平原区近15年(2008—2022年)一年两熟冬小麦-夏玉米连作制度下作物不同物候期的生态观测数据,主要包含观测样地信息、冬小麦物候期数据、夏玉米物候期数据。本数据集将为区域农业定量遥感研究、作物生长模型模拟研究、农业气候变化研究及农业生产和管理决策提供科学依据和数据支撑。The farmland ecosystem of the Huanghuai Plain primarily cultivates winter wheat and summer maize,which have played a crucial role in ensuring national food security.To grasp the key phenological period of primary crops precisely is of great significance for estimating crop yield,improving the level of agricultural production management,and preventing agricultural meteorological disasters.The dataset integrates ecological observation data on the phenology of different crops in a two-cropping winter wheat-summer maize continuous cropping system in the alluvial plain of the Old Yellow River over the past 15 years(2008-2022).It mainly includes information on observation plots,winter wheat phenological period data,and summer maize phenological period data.It will serve as a valuable resource for regional agricultural quantitative remote sensing,crop growth model simulation,agricultural climate change research,and decision-making in agricultural production and management.

关 键 词：冬小麦 夏玉米 作物物候期 数据集 

分 类 号：S51[农业科学—作物学]