Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest

Abstract Changes in plant phenology affect the carbon flux of terrestrial forest ecosystems due to the link between the growing season length and vegetation productivity. Digital camera imagery, which can be acquired frequently, has been used to monitor seasonal and annual changes in forest canopy p...

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Autores principales:	Hualei Yang, Xi Yang, Mary Heskel, Shucun Sun, Jianwu Tang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/060ccf7cb3f748f8b22f032abb7545e7
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spelling	oai:doaj.org-article:060ccf7cb3f748f8b22f032abb7545e72021-12-02T15:05:20ZSeasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest10.1038/s41598-017-01260-y2045-2322https://doaj.org/article/060ccf7cb3f748f8b22f032abb7545e72017-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-01260-yhttps://doaj.org/toc/2045-2322Abstract Changes in plant phenology affect the carbon flux of terrestrial forest ecosystems due to the link between the growing season length and vegetation productivity. Digital camera imagery, which can be acquired frequently, has been used to monitor seasonal and annual changes in forest canopy phenology and track critical phenological events. However, quantitative assessment of the structural and biochemical controls of the phenological patterns in camera images has rarely been done. In this study, we used an NDVI (Normalized Difference Vegetation Index) camera to monitor daily variations of vegetation reflectance at visible and near-infrared (NIR) bands with high spatial and temporal resolutions, and found that the infrared camera based NDVI (camera-NDVI) agreed well with the leaf expansion process that was measured by independent manual observations at Harvard Forest, Massachusetts, USA. We also measured the seasonality of canopy structural (leaf area index, LAI) and biochemical properties (leaf chlorophyll and nitrogen content). We found significant linear relationships between camera-NDVI and leaf chlorophyll concentration, and between camera-NDVI and leaf nitrogen content, though weaker relationships between camera-NDVI and LAI. Therefore, we recommend ground-based camera-NDVI as a powerful tool for long-term, near surface observations to monitor canopy development and to estimate leaf chlorophyll, nitrogen status, and LAI.Hualei YangXi YangMary HeskelShucun SunJianwu TangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hualei Yang Xi Yang Mary Heskel Shucun Sun Jianwu Tang Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest
description	Abstract Changes in plant phenology affect the carbon flux of terrestrial forest ecosystems due to the link between the growing season length and vegetation productivity. Digital camera imagery, which can be acquired frequently, has been used to monitor seasonal and annual changes in forest canopy phenology and track critical phenological events. However, quantitative assessment of the structural and biochemical controls of the phenological patterns in camera images has rarely been done. In this study, we used an NDVI (Normalized Difference Vegetation Index) camera to monitor daily variations of vegetation reflectance at visible and near-infrared (NIR) bands with high spatial and temporal resolutions, and found that the infrared camera based NDVI (camera-NDVI) agreed well with the leaf expansion process that was measured by independent manual observations at Harvard Forest, Massachusetts, USA. We also measured the seasonality of canopy structural (leaf area index, LAI) and biochemical properties (leaf chlorophyll and nitrogen content). We found significant linear relationships between camera-NDVI and leaf chlorophyll concentration, and between camera-NDVI and leaf nitrogen content, though weaker relationships between camera-NDVI and LAI. Therefore, we recommend ground-based camera-NDVI as a powerful tool for long-term, near surface observations to monitor canopy development and to estimate leaf chlorophyll, nitrogen status, and LAI.
format	article
author	Hualei Yang Xi Yang Mary Heskel Shucun Sun Jianwu Tang
author_facet	Hualei Yang Xi Yang Mary Heskel Shucun Sun Jianwu Tang
author_sort	Hualei Yang
title	Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest
title_short	Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest
title_full	Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest
title_fullStr	Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest
title_full_unstemmed	Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest
title_sort	seasonal variations of leaf and canopy properties tracked by ground-based ndvi imagery in a temperate forest
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/060ccf7cb3f748f8b22f032abb7545e7
work_keys_str_mv	AT hualeiyang seasonalvariationsofleafandcanopypropertiestrackedbygroundbasedndviimageryinatemperateforest AT xiyang seasonalvariationsofleafandcanopypropertiestrackedbygroundbasedndviimageryinatemperateforest AT maryheskel seasonalvariationsofleafandcanopypropertiestrackedbygroundbasedndviimageryinatemperateforest AT shucunsun seasonalvariationsofleafandcanopypropertiestrackedbygroundbasedndviimageryinatemperateforest AT jianwutang seasonalvariationsofleafandcanopypropertiestrackedbygroundbasedndviimageryinatemperateforest
_version_	1718388810087137280

Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest

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