Remote sensing methods are uniquely placed to enable proxy-based estimates of seagrass carbon stock by capturing their biophysical characteristics.
Dec 9, 2024 · These links will facilitate the development of remote sensing-enabled proxies and support spatially explicit estimates of carbon stock, ensuring ...
Remote sensing methods are uniquely placed to enable proxy-based estimates of seagrass carbon stock by capturing their biophysical characteristics.
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As such, remote sensing methods are uniquely placed to enable proxy-based estimates of seagrass carbon stock by capturing their biophysical characteristics, in ...
This issue welcomes submissions that demonstrate how advances in remote sensing can be used to establish the value of salt marshes, mangrove swamps, and ...
Simpson J, Bruce E, Davies KP, Barber P. A blueprint for the estimation of seagrass carbon stock using remote sensing-enabled proxies. Remote Sens 2022;14:3572.
A blueprint for the estimation of seagrass carbon stock using remote sensing-enabled proxies. by J. Simpson, E. Bruce, K.P. Davies and P. Barber. Published ...
To address this issue, this research aims to develop a remote sensing model to map aboveground seagrass carbon stock (AGC) and seagrass carbon assimilation ...
(2022) Blueprint for the estimation of seagrass carbon stock using remote sensing-enabled proxies. High spatial variability in blue carbon storage. + time ...
A Blueprint for the Estimation of Seagrass Carbon Stock Using Remote Sensing-Enabled Proxies · Jamie SimpsonE. BruceK. DaviesP. Barber. Environmental Science.