Integrating SAR and Optical Data for Aboveground Biomass Estimation of Coastal Wetlands Using Machine Learning: Multi-Scale Approach
Coastal wetlands encompass diverse ecosystems such as tidal marshes, mangroves, and seagrasses, which harbor substantial amounts of carbon (C) within their vegetation and soils. Despite their relatively small global extent, these wetlands exhibit carbon sequestration rates on par with those observed...
Main Authors: | Mohammadali Hemati, Masoud Mahdianpari, Hodjat Shiri, Fariba Mohammadimanesh |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-02-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/16/5/831 |
Similar Items
-
Aboveground Biomass of Wetland Vegetation Under Climate Change in the Western Songnen Plain
by: Yanji Wang, et al.
Published: (2022-06-01) -
Modelling Aboveground Biomass Carbon Stock of the Bohai Rim Coastal Wetlands by Integrating Remote Sensing, Terrain, and Climate Data
by: Shaobo Sun, et al.
Published: (2021-10-01) -
Aboveground Biomass Dynamics of a Coastal Wetland Ecosystem Driven by Land Use/Land Cover Transformation
by: Wenli Wu, et al.
Published: (2023-08-01) -
Assessing the Impacts of Tidal Creeks on the Spatial Patterns of Coastal Salt Marsh Vegetation and Its Aboveground Biomass
by: Ya-Nan Tang, et al.
Published: (2022-04-01) -
Improving the Transferability of Suspended Solid Estimation in Wetland and Deltaic Waters with an Empirical Hyperspectral Approach
by: Daniel Jensen, et al.
Published: (2019-07-01)