Journal Article

A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing

Wang, Yang, Shao, Guofan, Hupy, Joseph P., Tang, Lina, Huang, Sha

2021

Overview

The Normalized Difference Vegetation Index (NDVI), one of the earliest remote sensing analytical products used to simplify the complexities of multi-spectral imagery, is now the most popular index used for vegetation assessment. This popularity and widespread use relate to how an NDVI can be calculated with any multispectral sensor with a visible and a near-IR band. Increasingly low costs and weights of multispectral sensors mean they can be mounted on satellite, aerial, and increasingly—Unmanned Aerial Systems (UAS). While studies have found that the NDVI is effective for expressing vegetation status and quantified vegetation attributes, its widespread use and popularity, especially in UAS applications, carry inherent risks of misuse with end users who received little to no remote sensing education. This article summarizes the progress of NDVI acquisition, highlights the areas of NDVI application, and addresses the critical problems and considerations in using NDVI. Detailed discussion mainly covers three aspects: atmospheric effect, saturation phenomenon, and sensor factors. The use of NDVI can be highly effective as long as its limitations and capabilities are understood. This consideration is particularly important to the UAS user community.

• Publisher: Springer Berlin Heidelberg,Springer,Springer Nature B.V,School of Environmental and Geographical Sciences,Shanghai Normal University,Shanghai 200234,People's Republic of China,Department of Forestry and Natural Resources,Purdue University,West Lafayette,IN 47907,USA%Key Laboratory of Urban Environment and Health,Institute of Urban Environment,Chinese Academy of Sciences,Xiamen 361021,People's Republic of China%Department of Aviation and Transportation Technology,Purdue University,West Lafayette,IN 47907,USA%Zhejiang GeeSpace Technology Co.,Ltd,Purdue University,1535 Hongmei Road,Xuhui District,Shanghai 200030,People's Republic of China%Department of Forestry and Natural Resources,Purdue University,West Lafayette,IN 47907,USA
• Subject: Atmosphere / Biomedical and Life Sciences / Climate change / education / End users / Forestry / Imagery / Life Sciences / multispectral imagery / normalized difference vegetation index / Normalized difference vegetative index / Phenology / Popularity / Radiation / Remote sensing / Review Article / satellites / Sensors / System effectiveness / Trends / Unmanned aerial vehicles / Vegetation