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首页> 外文会议>PIAGENG 2013: intelligent information, control, and communication technology for agricultural engineering >Monitoring rice cropping systems using China environment satellite data in poyang lake region
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Monitoring rice cropping systems using China environment satellite data in poyang lake region

机译：利用中国环境卫星数据监测po阳湖地区的水稻种植系统

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Threshold method was utilized to discriminate rice cropping systems based on the noticeable variation of Normalized Difference Vegetation Index (NDVI) during key growth stages in Poyang Lake Region, China. This area is dominated by double- and single rice cropping systems which tend to change due to the frequent ecosystem management policies. We used a new satellite data from the CCD camera sensor with 30 m spatial resolution onboard the China Environmental Satellite HJ-1A and B. The HJ -1A/B with a better temporal resolution of four days provides more data options for effective and timely agriculture monitoring. The result showed that there is evident difference of NDVI between single and late rice during mid October when they are in different growth stages. The areas of single and late rice in 2011 were 2988.6 km~2 and 3105.9 km~2, respectively. Paddy field distribution map and local paddy rice calendar are requisite to move the threshold method into other multiple rice cropping regions. The study suggests that the China Environmental Satellite HJ-1A/B have the potential to rice cropping system in the double to triple rice cropping systems area. With many advantages of HJ-1A/B, like, finer spatial and temporal resolution, bigger imaging swath, it may make rice cropping system monitoring more feasible and operational.
机译：基于Po阳湖地区关键生育阶段的归一化植被指数（NDVI）的显着变化，采用阈值法来区分水稻种植系统。该地区以双季稻和单季稻种植系统为主，由于频繁的生态系统管理政策，该系统往往会发生变化。我们使用了来自中国环境卫星HJ-1A和B的30 m空间分辨率的CCD摄像机传感器的新卫星数据。HJ-1A / B具有更好的四天时间分辨率，为有效而及时的农业提供了更多的数据选择监控。结果表明：10月中旬处于不同生育阶段的单季稻和晚稻的NDVI存在明显差异。 2011年单季稻和晚稻面积分别为2988.6 km〜2和3105.9 km〜2。稻田分布图和当地稻米日历是将阈值法移至其他多个水稻种植地区的必要条件。研究表明，中国环境卫星HJ-1A / B在水稻种植系统的两倍到三倍区域具​​有水稻种植系统的潜力。 HJ-1A / B具有许多优点，例如更好的时空分辨率，更大的成像范围，这可能使水稻种植系统的监测更加可行和可操作。

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