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An Assessment of Relations between Vegetation Green FPAR and Vegetation Indices through a Radiative Transfer Model
The fraction of absorbed photosynthetically active radiation (FPAR) is widely used in remote sensing-based production models to estimate gross or net primary production. The forest canopy is composed primarily of photosynthetically active vegetation (PAV, green leaves) and non-photosynthetic vegetat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221054/ https://www.ncbi.nlm.nih.gov/pubmed/37653844 http://dx.doi.org/10.3390/plants12101927 |
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author | Liang, Shouzhen Ma, Wandong Sui, Xueyan Wang, Meng Li, Hongzhong |
author_facet | Liang, Shouzhen Ma, Wandong Sui, Xueyan Wang, Meng Li, Hongzhong |
author_sort | Liang, Shouzhen |
collection | PubMed |
description | The fraction of absorbed photosynthetically active radiation (FPAR) is widely used in remote sensing-based production models to estimate gross or net primary production. The forest canopy is composed primarily of photosynthetically active vegetation (PAV, green leaves) and non-photosynthetic vegetation (NPV e.g., branches), which absorb PAR but only the PAR absorbed by PAV is used for photosynthesis. Green FPAR (the fraction of PAR absorbed by PAV) is essential for the accurate estimation of GPP. In this study, the scattering by arbitrary inclined leaves (SAIL) model was reconfigured to partition the PAR absorbed by forest canopies. The characteristics of green FPAR and its relationships with spectral vegetation indices (NDVI, EVI, EVI2, and SAVI) were analyzed. The results showed that green FPAR varied with the canopy structure. In the forests with high coverage, the green FPAR was close to the total FPAR, while in the open forests, the green FPAR was far smaller than the total FPAR. Plant area index had more important impacts on the green FPAR than the proportion of PAV and optical properties of PAV. The significant relationships were found between spectral vegetation indices and the green FPAR, but EVI was more suitable to describe the variation of canopy green FPAR. |
format | Online Article Text |
id | pubmed-10221054 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102210542023-05-28 An Assessment of Relations between Vegetation Green FPAR and Vegetation Indices through a Radiative Transfer Model Liang, Shouzhen Ma, Wandong Sui, Xueyan Wang, Meng Li, Hongzhong Plants (Basel) Article The fraction of absorbed photosynthetically active radiation (FPAR) is widely used in remote sensing-based production models to estimate gross or net primary production. The forest canopy is composed primarily of photosynthetically active vegetation (PAV, green leaves) and non-photosynthetic vegetation (NPV e.g., branches), which absorb PAR but only the PAR absorbed by PAV is used for photosynthesis. Green FPAR (the fraction of PAR absorbed by PAV) is essential for the accurate estimation of GPP. In this study, the scattering by arbitrary inclined leaves (SAIL) model was reconfigured to partition the PAR absorbed by forest canopies. The characteristics of green FPAR and its relationships with spectral vegetation indices (NDVI, EVI, EVI2, and SAVI) were analyzed. The results showed that green FPAR varied with the canopy structure. In the forests with high coverage, the green FPAR was close to the total FPAR, while in the open forests, the green FPAR was far smaller than the total FPAR. Plant area index had more important impacts on the green FPAR than the proportion of PAV and optical properties of PAV. The significant relationships were found between spectral vegetation indices and the green FPAR, but EVI was more suitable to describe the variation of canopy green FPAR. MDPI 2023-05-09 /pmc/articles/PMC10221054/ /pubmed/37653844 http://dx.doi.org/10.3390/plants12101927 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liang, Shouzhen Ma, Wandong Sui, Xueyan Wang, Meng Li, Hongzhong An Assessment of Relations between Vegetation Green FPAR and Vegetation Indices through a Radiative Transfer Model |
title | An Assessment of Relations between Vegetation Green FPAR and Vegetation Indices through a Radiative Transfer Model |
title_full | An Assessment of Relations between Vegetation Green FPAR and Vegetation Indices through a Radiative Transfer Model |
title_fullStr | An Assessment of Relations between Vegetation Green FPAR and Vegetation Indices through a Radiative Transfer Model |
title_full_unstemmed | An Assessment of Relations between Vegetation Green FPAR and Vegetation Indices through a Radiative Transfer Model |
title_short | An Assessment of Relations between Vegetation Green FPAR and Vegetation Indices through a Radiative Transfer Model |
title_sort | assessment of relations between vegetation green fpar and vegetation indices through a radiative transfer model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221054/ https://www.ncbi.nlm.nih.gov/pubmed/37653844 http://dx.doi.org/10.3390/plants12101927 |
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