基于FY-3的黑龙江省水稻关键发育期识别

水稻发育期信息对水稻长势监测、田间管理、品质及产量估算等均具有重要意义。为了探索一种高效、实用性强、适合黑龙江省水稻种植特点的水稻发育期识别及监测方法，基于风云三号气象卫星250 m分辨率数据，利用水稻生长发育期的EVI变化特征，对水稻的返青期、分蘖期、抽穗期和成熟期进行识别，并把遥感识别结果与地面观测站资料进行对比，结果表明：水稻关键发育期遥感识别的准确率在80%以上，其中抽穗期的准确率最高，分蘖期的准确率最低，发育期遥感识别的结果与地面观测结果相比，各发育期均有提前和延后的判识点。研究结果可为水稻长势遥感监测提供方法参考。

Detecting Major Growth Stages of Paddy Rice Based on FY-3 Data in Heilongjiang Province

As an important factor during crop growing period, phenology of paddy rice is widely used in growing monitoring, field management, quality and output forecasting. In order to explore an efficient, practical and suitable method, based on 250 m data of FY-3 meteorological satellite and EVI change characteristics, the stages of recovering, tillering, heading, and mature were obtained according to their characteristics, and then compared with the ground observation data. The results showed that the recognition ratio reached above 80%, where the ratios of heading stage and tillering stage were respectively the highest and lowest. Each growth stage had the advanced or delayed identification point. This study could provide some reference for growing monitoring of paddy rice.