Calibrating PhenoCam Data with Phenological Observations of a Black Spruce Stand

Bud and leaf development are important phenological events and help in defining the growing period of trees. Canopy greenness derived from PhenoCam has been used to investigate leaf phenology. Questions remain on how much the continuous records of canopy greenness represent bud developmental phases,...

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Main Authors: Shaokang Zhang, Valentina Buttò, Siddhartha Khare, Annie Deslauriers, Hubert Morin, Jian-Guo Huang, Hai Ren, Sergio Rossi
Format: Article
Language:English
Published: Taylor & Francis Group 2020-03-01
Series:Canadian Journal of Remote Sensing
Online Access:http://dx.doi.org/10.1080/07038992.2020.1761251
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author Shaokang Zhang
Valentina Buttò
Siddhartha Khare
Annie Deslauriers
Hubert Morin
Jian-Guo Huang
Hai Ren
Sergio Rossi
author_facet Shaokang Zhang
Valentina Buttò
Siddhartha Khare
Annie Deslauriers
Hubert Morin
Jian-Guo Huang
Hai Ren
Sergio Rossi
author_sort Shaokang Zhang
collection DOAJ
description Bud and leaf development are important phenological events and help in defining the growing period of trees. Canopy greenness derived from PhenoCam has been used to investigate leaf phenology. Questions remain on how much the continuous records of canopy greenness represent bud developmental phases, and how growing period boundaries are related to canopy greenness and bud phenology. In this study, we compared bud phenology of black spruce [Picea mariana (Mill.) B.S.P] during 2015, 2017 and 2018 with the canopy greenness, represented by Green Chromatic Coordinate (GCC), derived from PhenoCam images of a boreal stand in Quebec, Canada. Logit models were applied to estimate the probability of observing sequential phenological phases of bud burst and bud set along with GCC. GCC showed a bell-shaped pattern, with a slow increase in spring, a peak in summer and a gradual decrease in autumn. The start and end of budburst, and bud set, occurred when GCC reached 72% and 92% (spring), and 94% (autumn) of its maximum amplitude, respectively. These GCC values are reliable thresholds indicating the growing period boundaries. Our study builds a bridge between phenological observations and automatic near-surface remote sensing, providing a statistically sound protocol for calibrating PhenoCam with field observations.
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spelling doaj.art-82ddb89981d7417b9f0c8fea8b7c82e42023-10-12T13:36:23ZengTaylor & Francis GroupCanadian Journal of Remote Sensing1712-79712020-03-0146215416510.1080/07038992.2020.17612511761251Calibrating PhenoCam Data with Phenological Observations of a Black Spruce StandShaokang Zhang0Valentina Buttò1Siddhartha Khare2Annie Deslauriers3Hubert Morin4Jian-Guo Huang5Hai Ren6Sergio Rossi7Chinese Academy of SciencesUniversité du Québec à Chicoutimi, 555, boulevard de l’UniversitéUniversité du Québec à Chicoutimi, 555, boulevard de l’UniversitéUniversité du Québec à Chicoutimi, 555, boulevard de l’UniversitéUniversité du Québec à Chicoutimi, 555, boulevard de l’UniversitéChinese Academy of SciencesChinese Academy of SciencesChinese Academy of SciencesBud and leaf development are important phenological events and help in defining the growing period of trees. Canopy greenness derived from PhenoCam has been used to investigate leaf phenology. Questions remain on how much the continuous records of canopy greenness represent bud developmental phases, and how growing period boundaries are related to canopy greenness and bud phenology. In this study, we compared bud phenology of black spruce [Picea mariana (Mill.) B.S.P] during 2015, 2017 and 2018 with the canopy greenness, represented by Green Chromatic Coordinate (GCC), derived from PhenoCam images of a boreal stand in Quebec, Canada. Logit models were applied to estimate the probability of observing sequential phenological phases of bud burst and bud set along with GCC. GCC showed a bell-shaped pattern, with a slow increase in spring, a peak in summer and a gradual decrease in autumn. The start and end of budburst, and bud set, occurred when GCC reached 72% and 92% (spring), and 94% (autumn) of its maximum amplitude, respectively. These GCC values are reliable thresholds indicating the growing period boundaries. Our study builds a bridge between phenological observations and automatic near-surface remote sensing, providing a statistically sound protocol for calibrating PhenoCam with field observations.http://dx.doi.org/10.1080/07038992.2020.1761251
spellingShingle Shaokang Zhang
Valentina Buttò
Siddhartha Khare
Annie Deslauriers
Hubert Morin
Jian-Guo Huang
Hai Ren
Sergio Rossi
Calibrating PhenoCam Data with Phenological Observations of a Black Spruce Stand
Canadian Journal of Remote Sensing
title Calibrating PhenoCam Data with Phenological Observations of a Black Spruce Stand
title_full Calibrating PhenoCam Data with Phenological Observations of a Black Spruce Stand
title_fullStr Calibrating PhenoCam Data with Phenological Observations of a Black Spruce Stand
title_full_unstemmed Calibrating PhenoCam Data with Phenological Observations of a Black Spruce Stand
title_short Calibrating PhenoCam Data with Phenological Observations of a Black Spruce Stand
title_sort calibrating phenocam data with phenological observations of a black spruce stand
url http://dx.doi.org/10.1080/07038992.2020.1761251
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