Ye Huichun, Zhang Bingrui, Huang Shanyu, Nie Chaojia, Wei Peng, Qin Minghao, Wang Hongye
International Research Center of Big Data for Sustainable Development Goals, Beijing, China.
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Front Plant Sci. 2025 Aug 19;16:1558990. doi: 10.3389/fpls.2025.1558990. eCollection 2025.
How to quickly monitor the growth process of maize on a large scale is crucial for regional maize growth assessment, yield estimation, and farmland management. This article takes the Sanjiang Plain in Northeast China as the research area, which is the main grain production area in China. Using MODIS NDVI time series data and Savitzky Golay and Whittaker filtering techniques, a remote sensing extraction method for key growth stages of maize (i.e., jointing stage, tasseling stage, and maturity stage) was established. The spatiotemporal characteristics of these growth stages from 2003 to 2022 were analyzed, alongside their meteorological influences. Results show the Whittaker filter achieves high accuracy, with errors under 8 days. Jointing stages typically fall between June 9 and June 25, tasseling stages between July 20 and August 5, and maturity stages between September 13 and September 29. From 2003 to 2022, jointing and tasseling stages advanced by 0.43 and 0.19 days/year, respectively, while the maturity stage was delayed by 0.38 days/year, indicating an extended growing season correlated with rising surface temperatures and precipitation in the preceding month. These findings offer theoretical and technical guidance for crop growth monitoring, yield assessment, and farmland management.
如何快速大规模监测玉米生长过程对于区域玉米生长评估、产量估算和农田管理至关重要。本文以中国东北的三江平原为研究区域,该地区是中国主要的粮食产区。利用MODIS NDVI时间序列数据以及Savitzky Golay和Whittaker滤波技术,建立了玉米关键生长阶段(即拔节期、抽雄期和成熟期)的遥感提取方法。分析了2003年至2022年这些生长阶段的时空特征及其气象影响。结果表明,Whittaker滤波器精度较高,误差在8天以内。拔节期通常在6月9日至6月25日之间,抽雄期在7月20日至8月5日之间,成熟期在9月13日至9月29日之间。2003年至2022年,拔节期和抽雄期分别以每年0.43天和0.19天的速度提前,而成熟期则以每年0.38天的速度推迟,这表明生长季延长与前一个月地表温度升高和降水量增加有关。这些发现为作物生长监测、产量评估和农田管理提供了理论和技术指导。