Improving aboveground biomass density mapping of arid and semi-arid vegetation by combining GEDI LiDAR, Sentinel-1/2 imagery and field data
Accurate estimates of forest aboveground biomass density (AGBD) are essential to guide mitigation strategies for climate change. NASA's Global Ecosystem Dynamics Investigation (GEDI) project delivers full-waveform LiDAR data and provides a unique opportunity to improve AGBD estimates. However,...
Saved in:
| Main Authors: | Luis A. Hernández-Martínez, Juan Manuel Dupuy-Rada, Alfonso Medel-Narváez, Carlos Portillo-Quintero, José Luis Hernández-Stefanoni |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Science of Remote Sensing |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666017225000100 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Aboveground biomass estimation using multimodal remote sensing observations and machine learning in mixed temperate forest
by: Shashika Himandi Gardeye Lamahewage, et al.
Published: (2025-08-01) -
Study on species diversity of deciduous broad-leaved forest at Tiantai Mountain of Zhejiang Province
by: JIN Ze-xin
Published: (2001-07-01) -
Assessing single photon LiDAR for operational implementation of an enhanced forest inventory in diverse mixedwood forests
by: Joanne C. White, et al.
Published: (2021-01-01) -
Mapping the vegetation and spatial dynamics of Sinharaja tropical rain forest incorporating NASA’s GEDI spaceborne LiDAR data and multispectral satellite images
by: Jayasekara D, et al.
Published: (2025-04-01) -
Modelling temporal change in inventory attributes from a LiDAR-derived inventory for the United Counties of Prescott and Russell, Ontario: A comparison of random forest and linear regression methods
by: Benjamin Gwilliam
Published: (2022-11-01)