Analysis of vegetation indices derived from aerial multispectral and ground hyperspectral data

作     者：Huihui Zhang Yubin Lan Ronald Lacey W.C.Hoffmann Yanbo Huang 

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.