Challenges to aboveground biomass prediction from waveform lidar
10.1088/1748-9326/ac3cec
Saved in:
Main Authors: | Bruening, Jamis M., Fischer, Rico, Bohn, Friedrich J., Armston, John, Armstrong, Amanda H., Knapp, Nikolai, Tang, Hao, Huth, Andreas, Dubayah, Ralph |
---|---|
Other Authors: | GEOGRAPHY |
Format: | Article |
Published: |
IOP Publishing Ltd
2022
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/231886 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
The NASA AfriSAR campaign: Airborne SAR and lidar measurements of tropical forest structure and biomass in support of current and future space missions
by: Fatoyinbo, Temilola, et al.
Published: (2022) -
Carbon stocks in miombo woodlands: Evidence from over 50 years
by: Bulusu, Medha, et al.
Published: (2022) -
Enhancing Landsat image based aboveground biomass estimation of black locust with scale bias-corrected LiDAR AGB map and stratified sampling
by: Qin, Shuhong, et al.
Published: (2023) -
Interferometry for forest studies
by: Floury, N., et al.
Published: (2014) -
Estimation above Ground Biomass of Private Forest Using Sentinel-1 and Sentinel-2 Satellite data (A Case Study in Gunung Kidul, Yogyakarta, Indonesia)
by: Askar
Published: (2023)