江汉平原水稻长势遥感监测及估产模型

STUDY ON MONITOR OF RICE GROWING AND RICE YIELD ESTIMATION BY REMOTE SENSING IN JIANGHAN PLAIN

以江汉平原监利县为例，探讨利用极轨气象卫星资料（ＮＯＡＡ－ＡＶＨＲＲ）监测水稻长势以及建立水稻估产模型．通过对样点资料的分析表明：①利用水稻垂直植被指数（ＰＶＩ）能推算水稻叶面积指数，并有利于从混合象元中提取其它水稻信息；②水稻叶面积指数随有效积温呈规律性变化，将ＮＯＡＡ－ＡＶＨＲＲ资料与有效积温结合可以大范围的监测水稻长势；③水稻叶面积时间累积量是反映水稻产量形成过程的有效指数，用它预报水稻产量。

The crop leaf area index ( LAI ) is an important standard that monitors crop growing, because crop leaves strongly absorb red spectral and reflect near infrared, the message of crop LAI can be gained by remote sensing. In this paper, monitoring crop growing by NOAA AVHRR is discussed, and estimation of rice yield is built in sample area, Jianli County. Through the analyses of observed data in sample area, following conclusion could be drawn:1)By perpendicular vegetation index,the rice LAI can be calculated and the other rice message is easily extracted from the mixed pixels. 2) The rice LAI changes certain regularly with effective accumulated temperatures. NOAA AVHRR materials and effective accumulated temperatures of each growth period could be used by monitoring of rice growing condition,in large region. 3)Accumulation of rice LAI is a useful index to reflect rice yield, on which yield estimation model is built could reach the accuracy of 95% for the rice.