First assessment of optical and microwave remotely sensed vegetation proxies in monitoring aboveground carbon in tropical Asia

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First assessment of optical and microwave remotely sensed vegetation proxies in monitoring aboveground carbon in tropical Asia. / Cui, Tianxiang; Fan, Lei; Ciais, Philippe; Fensholt, Rasmus; Frappart, Frédéric; Sitch, Stephen; Chave, Jérome; Chang, Zhongbing; Li, Xiaojun; Wang, Mengjia; Liu, Xiangzhuo; Ma, Mingguo; Wigneron, Jean Pierre.

I: Remote Sensing of Environment, Bind 293, 113619, 2023.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Cui, T, Fan, L, Ciais, P, Fensholt, R, Frappart, F, Sitch, S, Chave, J, Chang, Z, Li, X, Wang, M, Liu, X, Ma, M & Wigneron, JP 2023, 'First assessment of optical and microwave remotely sensed vegetation proxies in monitoring aboveground carbon in tropical Asia', Remote Sensing of Environment, bind 293, 113619. https://doi.org/10.1016/j.rse.2023.113619

APA

Cui, T., Fan, L., Ciais, P., Fensholt, R., Frappart, F., Sitch, S., Chave, J., Chang, Z., Li, X., Wang, M., Liu, X., Ma, M., & Wigneron, J. P. (2023). First assessment of optical and microwave remotely sensed vegetation proxies in monitoring aboveground carbon in tropical Asia. Remote Sensing of Environment, 293, [113619]. https://doi.org/10.1016/j.rse.2023.113619

Vancouver

Cui T, Fan L, Ciais P, Fensholt R, Frappart F, Sitch S o.a. First assessment of optical and microwave remotely sensed vegetation proxies in monitoring aboveground carbon in tropical Asia. Remote Sensing of Environment. 2023;293. 113619. https://doi.org/10.1016/j.rse.2023.113619

Author

Cui, Tianxiang ; Fan, Lei ; Ciais, Philippe ; Fensholt, Rasmus ; Frappart, Frédéric ; Sitch, Stephen ; Chave, Jérome ; Chang, Zhongbing ; Li, Xiaojun ; Wang, Mengjia ; Liu, Xiangzhuo ; Ma, Mingguo ; Wigneron, Jean Pierre. / First assessment of optical and microwave remotely sensed vegetation proxies in monitoring aboveground carbon in tropical Asia. I: Remote Sensing of Environment. 2023 ; Bind 293.

Bibtex

@article{97fa6d2e706749e1ae83cc015f41cc5a,
title = "First assessment of optical and microwave remotely sensed vegetation proxies in monitoring aboveground carbon in tropical Asia",
abstract = "Tropical Asia has shown a strong greening trend in recent years. However, detailed knowledge about changes in carbon stocks remain uncertain as only few studies have used remotely sensed vegetation products for monitoring spatial and temporal changes of aboveground live biomass carbon (AGC) in that region. This study aims at evaluating optical- and microwave-based vegetation proxies (i.e., LAI, percent tree cover (PTC), L−/X-/C-band vegetation optical depths (VOD)) for understanding the spatio-temporal variations of tropical Asian AGC between 2013 and 2019. Our results indicated that the spatial distributions of L-VOD and PTC were highly spatially correlated with four benchmark AGC maps used for comparison (R > 0.79 and R > 0.75, respectively). By employing L-VOD as the reference data in assessing AGC dynamics, the X-/C-VOD showed advantages in capturing AGC changes for low-medium (20–40 Mg C/ha) carbon density vegetation, respectively, while other vegetation proxies showed limited capabilities. All proxies presented limitations in tracking AGC dynamics at high AGC density (> 60 Mg C/ha). Tropical Asian AGC stocks estimated using the L-VOD product indicated that tropical Asia accumulated carbon in biomass at a rate of +44+39+53 Tg C/yr between 2013 and 2019. This small sink is dominated by non-forest biomes (65.9%). The non-forest regions in southern India, southwest China, and southern Vietnam and southwest China showed a continuous AGC increase while forests in northern Laos, Malaysia, and central Indonesia experienced continuous decreases between 2013 and 2019 caused by deforestation.",
keywords = "Above ground carbon, Microwave remote sensing, Optical vegetation proxies, Tropical Asia, Vegetation optical depth",
author = "Tianxiang Cui and Lei Fan and Philippe Ciais and Rasmus Fensholt and Fr{\'e}d{\'e}ric Frappart and Stephen Sitch and J{\'e}rome Chave and Zhongbing Chang and Xiaojun Li and Mengjia Wang and Xiangzhuo Liu and Mingguo Ma and Wigneron, {Jean Pierre}",
note = "Publisher Copyright: {\textcopyright} 2023 Elsevier Inc.",
year = "2023",
doi = "10.1016/j.rse.2023.113619",
language = "English",
volume = "293",
journal = "Remote Sensing of Environment",
issn = "0034-4257",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - First assessment of optical and microwave remotely sensed vegetation proxies in monitoring aboveground carbon in tropical Asia

AU - Cui, Tianxiang

AU - Fan, Lei

AU - Ciais, Philippe

AU - Fensholt, Rasmus

AU - Frappart, Frédéric

AU - Sitch, Stephen

AU - Chave, Jérome

AU - Chang, Zhongbing

AU - Li, Xiaojun

AU - Wang, Mengjia

AU - Liu, Xiangzhuo

AU - Ma, Mingguo

AU - Wigneron, Jean Pierre

N1 - Publisher Copyright: © 2023 Elsevier Inc.

PY - 2023

Y1 - 2023

N2 - Tropical Asia has shown a strong greening trend in recent years. However, detailed knowledge about changes in carbon stocks remain uncertain as only few studies have used remotely sensed vegetation products for monitoring spatial and temporal changes of aboveground live biomass carbon (AGC) in that region. This study aims at evaluating optical- and microwave-based vegetation proxies (i.e., LAI, percent tree cover (PTC), L−/X-/C-band vegetation optical depths (VOD)) for understanding the spatio-temporal variations of tropical Asian AGC between 2013 and 2019. Our results indicated that the spatial distributions of L-VOD and PTC were highly spatially correlated with four benchmark AGC maps used for comparison (R > 0.79 and R > 0.75, respectively). By employing L-VOD as the reference data in assessing AGC dynamics, the X-/C-VOD showed advantages in capturing AGC changes for low-medium (20–40 Mg C/ha) carbon density vegetation, respectively, while other vegetation proxies showed limited capabilities. All proxies presented limitations in tracking AGC dynamics at high AGC density (> 60 Mg C/ha). Tropical Asian AGC stocks estimated using the L-VOD product indicated that tropical Asia accumulated carbon in biomass at a rate of +44+39+53 Tg C/yr between 2013 and 2019. This small sink is dominated by non-forest biomes (65.9%). The non-forest regions in southern India, southwest China, and southern Vietnam and southwest China showed a continuous AGC increase while forests in northern Laos, Malaysia, and central Indonesia experienced continuous decreases between 2013 and 2019 caused by deforestation.

AB - Tropical Asia has shown a strong greening trend in recent years. However, detailed knowledge about changes in carbon stocks remain uncertain as only few studies have used remotely sensed vegetation products for monitoring spatial and temporal changes of aboveground live biomass carbon (AGC) in that region. This study aims at evaluating optical- and microwave-based vegetation proxies (i.e., LAI, percent tree cover (PTC), L−/X-/C-band vegetation optical depths (VOD)) for understanding the spatio-temporal variations of tropical Asian AGC between 2013 and 2019. Our results indicated that the spatial distributions of L-VOD and PTC were highly spatially correlated with four benchmark AGC maps used for comparison (R > 0.79 and R > 0.75, respectively). By employing L-VOD as the reference data in assessing AGC dynamics, the X-/C-VOD showed advantages in capturing AGC changes for low-medium (20–40 Mg C/ha) carbon density vegetation, respectively, while other vegetation proxies showed limited capabilities. All proxies presented limitations in tracking AGC dynamics at high AGC density (> 60 Mg C/ha). Tropical Asian AGC stocks estimated using the L-VOD product indicated that tropical Asia accumulated carbon in biomass at a rate of +44+39+53 Tg C/yr between 2013 and 2019. This small sink is dominated by non-forest biomes (65.9%). The non-forest regions in southern India, southwest China, and southern Vietnam and southwest China showed a continuous AGC increase while forests in northern Laos, Malaysia, and central Indonesia experienced continuous decreases between 2013 and 2019 caused by deforestation.

KW - Above ground carbon

KW - Microwave remote sensing

KW - Optical vegetation proxies

KW - Tropical Asia

KW - Vegetation optical depth

U2 - 10.1016/j.rse.2023.113619

DO - 10.1016/j.rse.2023.113619

M3 - Journal article

AN - SCOPUS:85158874376

VL - 293

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

M1 - 113619

ER -

ID: 357517464