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作 者:王登伟[1] 黄春燕[2] 马勤建[2] 赵鹏举[2] 郑学勤[1]
机构地区:[1]中国热带农业科学院热带作物生物技术国家重点实验室,海口571101 [2]石河子大学新疆兵团绿洲生态农业重点实验室/石河子大学农学院,石河子832003
出 处:《中国农学通报》2008年第3期426-429,共4页Chinese Agricultural Science Bulletin
基 金:国家自然科学基金资助项目"新疆棉田冠层营养状况信息的高光谱定量提取研究"(30060039);"基于高光谱数据的新疆棉花冠层特征信息定量模型研究"(30460060)
摘 要:通过测试棉花关键生育阶段350-2500nm波段的冠层高光谱数据,用近红外波段760-850nm及红光波段650-670nm的2个范围内的波段,组成了高光谱归一化植被指数(NDVI)及800和670nm2个波段组成修改型二次土壤调节植被指数(MSAVI2),分别与棉花叶面积指数(LAI)和地上鲜生物量进行相关分析,结果表明,棉花NDVI和MSAVI2与LAI和地上鲜生物量两个参数均以幂指数相关关系为最佳(RNDVI-LAI=0.7346**,RMSAVI2-LAI=0.7436**,n=81;RNDVI-鲜生物量=0.7426**,RMSAVI2-鲜生物量=0.7934**,n=59),MSAVI2与LAI和地上鲜生物量的相关性均高于NDVI与LAI和地上鲜生物量的相关性,说明MSAVI2较NDVI更好的消除土壤背景等对反射光谱造成的影响,较精确的提取反映棉花生长状况的叶面积指数和生物量信息。This hyperspectral reflectance (350 to 2 500 nm) data which were recorded at the cotton key growth stages in a field experiment. Utilizing cotton leaf area index at near infrared band 760-850 nm and red region band 650-670 nm, combining the two bands range reflectance into vegetation indices NDVI (Normalized Difference Vegetation Index), and near infrared band 800 nm , red region band 670 nm, combining two bands range reflectance into MSAVI2 (Modified Second Soil-Adjusted Vegetation Index). Analyzing the correlation between NDVI, MSAVI2 and cotton leaf area index (LAI), aboveground fresh biomass respectively, There are all the highest power function relationship among them (RNDV1-LAI=0.7346**, RMSAVI2-LAI= 0.7436**, n=81; RNDVI-Fresh biomess =0.7426**, RMSAVI2- FRESH BIOMASS =0.7934**, n=59), power functions of MSAVI2 against LAI, aboveground fresh biomass have the higher precision than NDVI do, it showed that MSAVI2 can eliminate the effects of the soil background on the reflectance, it is better to extract cotton canopy LAI, aboveground fresh biomass.
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