Matsushita Bunkei, Yang Wei, Chen Jin, Onda Yuyichi, Qiu Guoyu
Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba, Ibaraki, 305-8572, Japan.
Key Laboratory of Environment Change and Natural Disaster, Ministry of Education of China, College of Resource Science and Technology, Beijing Normal University, Beijing 100875, China.
Sensors (Basel). 2007 Nov 5;7(11):2636-2651. doi: 10.3390/s7112636.
Vegetation indices play an important role in monitoring variations in vegetation.The Enhanced Vegetation Index (EVI) proposed by the MODIS Land Discipline Groupand the Normalized Difference Vegetation Index (NDVI) are both global-based vegetationindices aimed at providing consistent spatial and temporal information regarding globalvegetation. However, many environmental factors such as atmospheric conditions and soilbackground may produce errors in these indices. The topographic effect is another veryimportant factor, especially when the indices are used in areas of rough terrain. In thispaper, we theoretically analyzed differences in the topographic effect on the EVI and theNDVI based on a non-Lambertian model and two airborne-based images acquired from amountainous area covered by high-density Japanese cypress plantation were used as a casestudy. The results indicate that the soil adjustment factor "L" in the EVI makes it moresensitive to topographic conditions than is the NDVI. Based on these results, we stronglyrecommend that the topographic effect should be removed in the reflectance data beforethe EVI was calculated-as well as from other vegetation indices that similarly include a term without a band ratio format (e.g., the PVI and SAVI)-when these indices are used in the area of rough terrain, where the topographic effect on the vegetation indices having only a band ratio format (e.g., the NDVI) can usually be ignored.
植被指数在监测植被变化方面发挥着重要作用。由中分辨率成像光谱仪(MODIS)陆地学科组提出的增强植被指数(EVI)和归一化差值植被指数(NDVI)都是基于全球的植被指数,旨在提供有关全球植被的一致的空间和时间信息。然而,许多环境因素,如大气条件和土壤背景,可能会在这些指数中产生误差。地形效应是另一个非常重要的因素,特别是当这些指数用于地形崎岖的地区时。在本文中,我们基于非朗伯模型从理论上分析了地形效应对EVI和NDVI的差异,并以从高密度日本扁柏种植园覆盖的山区获取的两幅航空图像作为案例研究。结果表明,EVI中的土壤调节因子“L”使其比NDVI对地形条件更敏感。基于这些结果,我们强烈建议,当在地形崎岖的地区使用这些指数时,在计算EVI之前以及从其他同样包含不带波段比值格式项的植被指数(例如,垂直植被指数(PVI)和土壤调整植被指数(SAVI))中去除地形效应,而对于仅具有波段比值格式的植被指数(例如,NDVI),地形效应通常可以忽略不计。