[HTML][HTML] Advances in Earth observation and machine learning for quantifying blue carbon

TD Pham, NT Ha, N Saintilan, A Skidmore… - Earth-Science …, 2023 - Elsevier
Blue carbon ecosystems (mangroves, seagrasses and saltmarshes) are highly productive
coastal habitats, and are considered some of the most carbon-dense ecosystems on the …

[HTML][HTML] A review of remote sensing approaches for monitoring blue carbon ecosystems: Mangroves, seagrasses and salt marshes during 2010–2018

TD Pham, J Xia, NT Ha, DT Bui, NN Le, W Takeuchi - Sensors, 2019 - mdpi.com
Blue carbon (BC) ecosystems are an important coastal resource, as they provide a range of
goods and services to the environment. They play a vital role in the global carbon cycle by …

Deep learning based retrieval of forest aboveground biomass from combined LiDAR and landsat 8 data

L Zhang, Z Shao, J Liu, Q Cheng - Remote Sensing, 2019 - mdpi.com
Estimation of forest aboveground biomass (AGB) is crucial for various technical and
scientific applications, ranging from regional carbon and bioenergy policies to sustainable …

A review of carbon monitoring in wet carbon systems using remote sensing

AD Campbell, T Fatoyinbo, SP Charles… - Environmental …, 2022 - iopscience.iop.org
Carbon monitoring is critical for the reporting and verification of carbon stocks and change.
Remote sensing is a tool increasingly used to estimate the spatial heterogeneity, extent and …

Fusion of airborne LiDAR data and hyperspectral imagery for aboveground and belowground forest biomass estimation

S Luo, C Wang, X Xi, F Pan, D Peng, J Zou, S Nie… - Ecological …, 2017 - Elsevier
Vegetation biomass is a key biophysical parameter for many ecological and environmental
models. The accurate estimation of biomass is essential for improving the accuracy and …

Maize and soybean heights estimation from unmanned aerial vehicle (UAV) LiDAR data

S Luo, W Liu, Y Zhang, C Wang, X Xi, S Nie… - … and Electronics in …, 2021 - Elsevier
Crop height is a key structure parameter for the modelling of crop growth, healthy status,
yield forecasting and biomass estimation. Unmanned aerial vehicle (UAV) LiDAR systems …

Quantification of sawgrass marsh aboveground biomass in the coastal Everglades using object-based ensemble analysis and Landsat data

C Zhang, S Denka, H Cooper, DR Mishra - Remote Sensing of …, 2018 - Elsevier
Large-scale biomass quantification of sawgrass (Cladium jamaicense) marsh is critical to
understand the carbon and energy cycle in the Florida Everglades. There is also a need to …

Estimating the biomass of maize with hyperspectral and LiDAR data

C Wang, S Nie, X Xi, S Luo, X Sun - Remote Sensing, 2016 - mdpi.com
The accurate estimation of crop biomass during the growing season is very important for
crop growth monitoring and yield estimation. The objective of this paper was to explore the …

Tidal and Meteorological Influences on the Growth of Invasive Spartina alterniflora: Evidence from UAV Remote Sensing

X Zhu, L Meng, Y Zhang, Q Weng, J Morris - Remote Sensing, 2019 - mdpi.com
Rapid invasion of Spartina alterniflora into Chinese coastal wetlands has attracted much
attention. Many field and remote sensing studies have examined the spatio-temporal …

[图书][B] A blue carbon primer: the state of coastal wetland carbon science, practice and policy

L Windham-Myers, S Crooks, TG Troxler - 2018 - books.google.com
Key features: Captures the historic context and recent developments in science and policy
arenas that address the potential for coastal wetlands to be considered as significant …