利用HJ星遥感进行水稻抽穗期长势分级监测研究

对水稻长势进行遥感分级监测,制作能够直观反映水稻长势等级的遥感专题图,便于农业技术人员及时制定有效的田间管理措施,达到增产的目的。以江苏省泰兴市为例,利用HJ-A/B卫星遥感影像,提取水稻的种植面积并分析抽穗期水稻的长势情况。在利用GPS实地取样调查和建立解译标志的基础上,进行HJ-A/B卫星影像校正,人机交互式判读解译等操作,并将GPS样点数据校验贯穿到整个分类过程中,面积信息解译精度在90%以上。最后,利用归一化植被指数(NDVI)反演叶面积指数(LAI)数据信息,依据LAI数据进行水稻长势分级,制作了泰兴市水稻抽穗期长势分级遥感监测专题图。

The Monitoring Rice Growth Condition in Heading Stage by HJ-A/B Satellite Images

The timely and effective field management measures on the basis of the grading thematic map which based on the classification of rice growth status by remote sending monitoring,be developed to achieve the purpose of increasing rice production.Using HJ-A/B satellite remote sensing image,this paper extracts the planting of rice growth area and analyzes the condition in heading stage in Taixing city in Jiangsu province.The geographical position and some other information of these samples such as area shapes had been measured by the handhold GPS instrument.The GPS data and the interpretation features are used to correct HJ-A/B image,assisted human-computer interactive interpretation and other operations.The test data had been participated the whole classification process.The accuracy of interpretation information of rice planting area is more than 90%.Finally,The leaf area index（LAI） got from the Normalized Difference Vegetation Index（NDVI） inversion,according to LAI to classify the rice growth in heading stage and made the rice growth condition grading thematic map of Taixing city.