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Comparing time-Lapse PhenoCams with satellite observations across the Boreal forest of Quebec, Canada

Khare Siddhartha, Deslauriers Annie, Morin Hubert, Latifi Hooman et Rossi Sergio. (2022). Comparing time-Lapse PhenoCams with satellite observations across the Boreal forest of Quebec, Canada. Remote Sensing, 14, (1), e100.

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URL officielle: http://dx.doi.org/doi:10.3390/rs14010100

Résumé

Intercomparison of satellite-derived vegetation phenology is scarce in remote locations because of the limited coverage area and low temporal resolution of field observations. By their reliable near-ground observations and high-frequency data collection, PhenoCams can be a robust tool for intercomparison of land surface phenology derived from satellites. This study aims to investigate the transition dates of black spruce (Picea mariana (Mill.) B.S.P.) phenology by comparing fortnightly the MODIS normalized difference vegetation index (NDVI) and the enhanced vegetation index (EVI) extracted using the Google Earth Engine (GEE) platform with the daily PhenoCam-based green chromatic coordinate (GCC) index. Data were collected from 2016 to 2019 by PhenoCams installed in six mature stands along a latitudinal gradient of the boreal forests of Quebec, Canada. All time series were fitted by double-logistic functions, and the estimated parameters were compared between NDVI, EVI, and GCC. The onset of GCC occurred in the second week of May, whereas the ending of GCC occurred in the last week of September. We demonstrated that GCC was more correlated with EVI (R2 from 0.66 to 0.85) than NDVI (R2 from 0.52 to 0.68). In addition, the onset and ending of phenology were shown to differ by 3.5 and 5.4 days between EVI and GCC, respectively. Larger differences were detected between NDVI and GCC, 17.05 and 26.89 days for the onset and ending, respectively. EVI showed better estimations of the phenological dates than NDVI. This better performance is explained by the higher spectral sensitivity of EVI for multiple canopy leaf layers due to the presence of an additional blue band and an optimized soil factor value. Our study demonstrates that the phenological observations derived from PhenoCam are comparable with the EVI index. We conclude that EVI is more suitable than NDVI to assess phenology in evergreen species of the northern boreal region, where PhenoCam data are not available. The EVI index could be used as a reliable proxy of GCC for monitoring evergreen species phenology in areas with reduced access, or where repeated data collection from remote areas are logistically difficult due to the extreme weather.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:2072-4292
Volume:14
Numéro:1
Pages:e100
Version évaluée par les pairs:Oui
Date:2022
Identifiant unique:10.3390/rs14010100
Sujets:Sciences naturelles et génie > Sciences appliquées > Foresterie et sciences du bois
Sciences naturelles et génie > Sciences naturelles > Sciences de la terre (géologie, géographie)
Département, module, service et unité de recherche:Départements et modules > Département des sciences fondamentales
Mots-clés:PhenoCam, GCC, green chromatic coordinate index, normalized difference vegetation index, NDVI, enhanced vegetation index, EVI, Google Earth Engine, Picea mariana, coniferous species, satellite
Déposé le:27 avr. 2022 23:31
Dernière modification:27 avr. 2022 23:31
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