Algorithm Theoretical Basis Document for GEDI Footprint Aboveground Biomass Density-Reference-Cited by-同舟云学术

Algorithm Theoretical Basis Document for GEDI Footprint Aboveground Biomass Density

Published:2023-04 Issue:4 Volume:10 Page:
ISSN:2333-5084
Container-title:Earth and Space Science
language:en
Short-container-title:Earth and Space Science

Author:

Kellner James R.¹²^ORCID,Armston John³^ORCID,Duncanson Laura³^ORCID

Affiliation:

1. Institute at Brown for Environment and Society Brown University Providence RI USA

2. Department of Ecology, Evolution and Organismal Biology Brown University Providence RI USA

3. Department of Geographical Sciences University of Maryland College Park College Park MD USA

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022EA002516

Reference87 articles.

1. Use of Logarithmic Regression in the Estimation of Plant Biomass

2. Planted forest carbon monitoring system–forest carbon model validation study for Pinus radiata;Beets P. N.;New Zealand Journal of Forestry Science,2011

3. Modeling laser altimeter return waveforms over complex vegetation using high-resolution elevation data

4. Regional aboveground forest biomass using airborne and spaceborne LiDAR in Québec

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards global spaceborne lidar biomass: Developing and applying boreal forest biomass models for ICESat-2 laser altimetry data;Science of Remote Sensing;2024-12

2. Accuracy assessment of GEDI terrain elevation, canopy height, and aboveground biomass density estimates in Japanese artificial forests;Science of Remote Sensing;2024-12

3. Evaluation of GEDI footprint level biomass models in Southern African Savannas using airborne LiDAR and field measurements;Science of Remote Sensing;2024-12

4. Mapping aboveground biomass in Indonesian lowland forests using GEDI and hierarchical models;Remote Sensing of Environment;2024-11

5. Carbon emissions from global impervious surface expansion between 1985 and 2020;Science of The Total Environment;2024-11