A fast operative method for NDVI uncertainty estimation and its role in vegetation analysis
A fast operative method for NDVI uncertainty estimation and its role in vegetation analysis
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NDVI不确定性快速估算方法及其在植被分析中的作用
DOI：
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发表时间：
2016
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通讯作者：
M. Gomarasca
中科院分区：
文献类型：
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作者：
E. Borgogno;A. Lessio;M. Gomarasca
摘要植被指数是监测植被时空变化的一种有效和广泛使用的工具。不幸的是，在许多作品中，索引不确定性没有报告，使得解释不可靠。在本文中，我们提出了一个可操作的方法来估计归一化植被指数的不确定性，传播的基础上，通过辐射传输模型定义的因素的方差。两个Landsat 8业务陆地成像仪（OLI）的图像被用来测试的方法和讨论的结果。选择位于意大利西北部的一个农业专用区作为案例研究。结果表明：a）地形和大气因素是造成归一化差异植被指数不确定性的主要因素; B）不确定性在空间和时间上各不相同，取决于传感器的光谱波段; c）归一化差异植被指数不确定性估计值可用于绘制归一化差异植被指数在空间和时间上的显著差异。
Abstract Vegetation indices represent an effective and widely used tool for monitoring vegetation changes in time and space. Unfortunately, in many works index uncertainty is not reported, making interpretation unreliable. In this paper we propose an operational approach for estimating NDVI uncertainty, based on the propagation of variance of factors defining the adopted radiative transfer model. Two Landsat 8 Operational Land Imager (OLI) images were used to test the method and discuss results. An agriculture-devoted area located in NW Italy was chosen as case study. Results showed that: a) the major contribution to NDVI uncertainty comes from topographic and atmospheric factors; b) uncertainty varies in space and time and depends on sensor spectral bands; c) NDVI uncertainty estimates can be exploited to map NDVI significant differences in space and time.