Analysis of vegetation indices derived from aerial multispectral and ground hyperspectral data
植被指数分析来自空中和地面高光谱数据的多光谱作者机构:Department of Biological and Agricultural EngineeringTexas A&M UniversityCollege StationTexasUSA USDA-ARSCollege StationTexasUSA USDA-ARSAPTRU141 Experiment Station RoadStonevilleMississippiUSA
出 版 物:《International Journal of Agricultural and Biological Engineering》 (国际农业与生物工程学报(英文))
年 卷 期:2009年第2卷第3期
页 面:33-40页
学科分类:0710[理学-生物学] 0810[工学-信息与通信工程] 071001[理学-植物学] 07[理学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:airborne multispectral image hyperspectral reflectance vegetation index remote sensing crop growth condition
摘 要:Aerial multispectral images are a good source of crop,soil,and ground coverage *** reflectance indices provide a useful tool for monitoring crop growing status.A series of aerial images were obtained by an airborne MS4100 multispectral imaging system on the cotton and soybean *** hyperspectral data were acquired with a ground-based integration system at the same *** Normalized Difference Vegetative Index(NDVI),Simple Ratio(SR),and Soil Adjusted Vegetation Index(SAVI)calculated from both systems were analyzed and *** information derived from aerial multispectral images has shown the potential to monitor the general growth status of crop *** vegetation indices derived from both systems were significantly different(p-value was 0.073 atα=0.1 level)at the early growing stage of *** correlation coefficients of the image NDVI and ground NDVI were 0.3029 for soybean field and 0.338 for cotton *** and SR were not correlated.