HJ卫星遥感在水稻长势分级监测中的应用  

Application of HJ Satellite Remote Sensing Data in Rice Growth Condition Monitoring

作　　者：李卫国[1] 李花[1,2] 黄义德[2] 

机构地区：[1]江苏省农业科学院农业资源与环境研究所,江苏南京210014 [2]安徽农业大学,安徽合肥230036

出　　处：《江苏农业学报》2010年第6期1206-1209,共4页Jiangsu Journal of Agricultural Sciences

基　　金：国家"863"计划项目(2008AA10Z214);农业部行业科技项目(200803037);江苏省农业科学院人才基金项目(6510805)

摘　　要：利用水稻分蘖期HJ-1A卫星遥感影像,提取江苏省姜堰市水稻种植面积并分析水稻的长势情况。在利用GPS实地取样调查和建立解译标志的基础上,进行HJ-1A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,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),依据LAI数据进行水稻长势分级,制作了姜堰市水稻分蘖期长势分级遥感监测专题图。By using HJ-A/B satellite remote sensing image,the rice growth area was extracted to analyze the growth condition in Jiangyan City in Jiangsu Province.The geographical position and other information of these samples such as areas＇ shapes were measured by the handhold GPS machines.The GPS data and the interpretation mark were used to correct HJ-A/B image and assist human-computer interactive interpretation and other operations.The test data participated in the whole classification process.The accuracy of interpret information on rice planting area was over 90%.Finally,the leaf area index（LAI） was obtained from the normalized difference vegetation index（NDVI） inversion.According to the LAI,the thematic map of rice growth grading in Jiangyan City were made.

关 键 词：水稻 长势 卫星遥感 监测 

分 类 号：S127[农业科学—农业基础科学] TP79[自动化与计算机技术—检测技术与自动化装置]