中国主要作物生长发育长序列产品的研制及应用
Establishment and Application of the Growth Datasets of Main Crops in China
中文摘要：
在收集整理全国423个农业气象观测站1981—2010年农业气象纸质年报表的数字化资料基础上，选择小麦、水稻、棉花、花生、大豆五种中国主要作物，经名称规范化、数据补录、格式转换、质量控制等处理过程，制作出一套中国主要作物生长发育数据集。结果表明：该数据集发育期、生长状况、生长高度、总茎数、有效茎数等要素的总实有率、正确率均在77.1%、 99.1%以上。该数据集的研制可为农业气象业务、科研与服务提供基础数据支撑，对于推进农业气象数字化成果的应用、拓展综合质量控制方法在农业气象领域的适用范围具有较强的借鉴意义。
中文关键词：
数字化，主要作物，生长发育，质量控制
KeyWords：
digitization, main crops, phenology observation, quality control
Abstract：
Based on the digitized annual report of agro-meteorological observation records, the growth datasets of main crops were established in China mainland. It uses the phenological observations of the major crops (wheat, rice, soybean, cotton and peanut) at 423 observation stations for 1981-2010. The dataset-quality control procedures include the data standardization, data supplemented transcripts, format conversion, quality control and the quality evaluation. The results show that the integrity rates of the growth periods, growth condition, growth height, total number of stems and effective stems are above 77.1%, and the correct rate of these items are above 99.1%. The datasets may provide a basic data support for agrometeorological services and scientific research. It is also important for promoting the application of agricultural meteorological digitization and expanding the application range of agrometeorological comprehensive quality control methods.