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

Journal of Forestry Research 2021年第1期32卷 1-6页

作者： Sha Huang Lina Tang Joseph P.Hupy Yang Wang Guofan Shao School of Environmental and Geographical Sciences Shanghai Normal UniversityShanghai 200234People’s Republic of China Key Laboratory of Urban Environment and Health Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021People’s Republic of China Department of Aviation and Transportation Technology Purdue UniversityWest LafayetteIN 47907USA Zhejiang GeeSpace Technology Co. LtdPurdue University1535 Hongmei RoadXuhui DistrictShanghai 200030People’s Republic of China Department of Forestry and Natural Resources Purdue UniversityWest LafayetteIN 47907USA

The Normalized Diff erence 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 *** popularity and widespread use relate to how an NDVI can be calculated with any multispectral sensor with a visible and a near-IR *** 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 andquantified 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 *** article summarizes the progress of NDVI acquisition,highlights the areas of NDVI application,and addresses the critical problems and considerations in using *** discussion mainly covers three aspects:atmospheric eff ect,saturation phenomenon,and sensor *** use of NDVI can be highly eff ective as long as its limitations and capabilities are *** consideration is particularly important to the UAS user community.

关键词： NDVI atmospheric eff ect Saturation phenomenon Calibration Multispectral Near infrared UAS Drone remote sensing

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