基于北京一号CCD数据的植被指数特性分析

Analysis of vegetation indices based on the CCD data of BJ-1

植被指数是遥感领域用来表征地表植被覆盖及生长状况简单而有效的度量参数,在环境、生态、农业等领域都有广泛的应用。但由于植被指数繁多,在选择和应用植被指数时往往很随意或盲目。本文以北京一号覆盖永安市的CCD多光谱数据为例,基于光谱、方差和多重分析方法,对13种植被指数特性进行分析。结果表明:RGNDI、RGRI、MSAVI、TNDVI、NDGI可以较好区分农田和浓密林地;RGNDI、NDGI、RGRI可以有效地消除阴影的影响,却易与水体混淆;在不考虑阴影的情况下,NDVI、RVI、RDVI、GRNDVI比RGNDI、NDGI、RGRI可以更好区分不同覆盖程度的植被。

Vegetation index is a simple and effective parameter characterizing the coverage and growth of vegetation.It has been widely used in the environment,ecology,agriculture and other fields.However,when selecting and applying them,people＇re often confused for so many indices.Taking BJ-1 CCD data that covers Yong＇an city as an example,the features of 13 kinds of vegetation indices were analyzed with spectral analysis,variance analysis and multiple comparisons.The results showed：RGNDI,RGRI,MSAVI,TNDVI,NDGI may distinguish farmlands and dense forests well;RGNDI,NDGI,RGRI may effectively eliminate the impact of the shadow but be easily confused with water;NDVI,RVI,RDVI,GRNDVI may distinguish different density vegetation better than RGNDI,NDGI,RGRI,when taking no account of shadow.