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Im, Jungho
Intelligent Remote sensing and geospatial Information Science Lab.
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Insights into Canopy Escape Ratio from Canopy Structures: Correlations Uncovered through Sentinel-2 and Field Observation

Author(s)
Lee, JungheeIm, JunghoLim, JoongbinKim, Kyungmin
Issued Date
2024-04
DOI
10.3390/f15040665
URI
https://scholarworks.unist.ac.kr/handle/201301/82700
Citation
FORESTS, v.15, no.4, pp.665
Abstract
This study explores the quantitative relationship between canopy structure and the canopy escape ratio (f(esc)), measured as the ratio of near-infrared reflectance of vegetation (NIRv) to the fraction of absorbed photosynthetically active radiation (fAPAR). We analyzed the correlation between f(esc) and key indicators of canopy structure-specifically, leaf area index (LAI) and clumping index (CI)-utilizing both Sentinel-2 satellite data and in situ observations. Our analysis revealed a moderate correlation between f(esc) and LAI, evidenced by an R-2 value of 0.37 for satellite-derived LAI, which contrasts with the lower correlation (R-2 of 0.15) observed with field-measured LAI. Conversely, the relationship between f(esc) and CI proved to be significantly weaker (R-2 < 0.1), indicating minimal interaction between foliage distribution and light escape at the canopy level. This disparity in correlation strength was further evidenced in time series analysis, which showed little phenological variation in f(esc) compared to LAI. Our findings elucidate the complexities of estimating f(esc) based on the NIRv to fAPAR ratio and underscore the need for advanced methodologies in future research to enhance the accuracy of canopy escape models.
Publisher
MDPI
ISSN
1999-4907
Keyword (Author)
NIRvleaf area indexclumping indexSentinel-2field observationcanopy escape ratio
Keyword
MODEL

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