Three-Stage Up-Scaling and Uncertainty Estimation in Forest Aboveground Biomass Based on Multi-Source Remote Sensing Data Considering Spatial Correlation
Airborne LiDAR (ALS) data have been extensively utilized for aboveground biomass (AGB) estimation; however, the high acquisition costs make it challenging to attain wall-to-wall estimation across large regions. Some studies have leveraged ALS data as intermediate variables to amplify sample sizes, t...
Saved in:
| Main Authors: | Xiangyuan Ding, Erxue Chen, Lei Zhao, Yaxiong Fan, Jian Wang, Yunmei Ma |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/4/671 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Modeling Wetland Biomass and Aboveground Carbon: Influence of Plot Size and Data Treatment Using Remote Sensing and Random Forest
by: Tássia Fraga Belloli, et al.
Published: (2025-03-01) -
Estimation of aboveground biomass in Tajikistan based on upscaling extrapolation of UAV and Sentinel-2 multi-source data synergy
by: Lina Hao, et al.
Published: (2025-12-01) -
Applying a Four-Way Factorial Experimental Model to Diagnose Optimum kNN Parameters for Precise Aboveground Biomass Mapping
by: Chinsu Lin, et al.
Published: (2025-01-01) -
Investigating changes of forest aboveground biomass induced by Moso bamboo expansion with terrestrial laser scanner
by: Rui Jiang, et al.
Published: (2024-11-01) -
A hybrid method for forest aboveground biomass estimation: fusion of individual tree- and area-based approaches over northeast China
by: Zhen Zhen, et al.
Published: (2025-12-01)