植被指数的演变:简要概述

Kristóf Solymosi, G. Kövér, R. Romvári
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引用次数: 7

摘要

利用遥感数据计算植被指数成为农业监测与评价的重要组成部分。在这些指数的帮助下,可以对比植被和其他土地覆盖的差异,并可以收集许多有用和适用的数据,从植被健康到生长动态等。近几十年来,从第一颗Landsat卫星开始,为了能够有效地监测植被,大量的VIs被开发出来,其数量巨大的原因是由于每个传感器、地形、地理、植被和大气特征都是不同的,它们的组合更是如此。这就是为什么没有统一的谱带数学公式的原因。这篇简短概述的目的是为读者提供在过去40年中科学文献中使用的主要植被指数(VIs)及其发展的见解
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Progression of Vegetation Indices: a Short Overview
Vegetation indices computed from remote sensing data became key components of agricultural monitoring and assessment. With the help of these indices, the difference of vegetational and other land covers can be contrasted and many useful and applicable data can be gathered ranging from vegetation health to growth dynamics among others. In recent decades, starting from the first Landsat satellite, a huge number of VIs were developed in order to be able to effectively monitor vegetation – the reason for the immense number is due to the fact that every sensor, topographic, geographic, vegetative and atmospheric feature is different, and more so are their combinations. This is the reason why there is no unified spectral band mathematical formula. The aim of this short overview is to provide the reader insight of the main vegetation indices (VIs) that have been used in scientific literature and their development over the last 40 years
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