Assessing the performance of NASA’s GEDI L4A footprint aboveground biomass density models using National Forest Inventory and airborne laser scanning data in Mediterranean forest ecosystems-Reference-Cited by-同舟云学术

Assessing the performance of NASA’s GEDI L4A footprint aboveground biomass density models using National Forest Inventory and airborne laser scanning data in Mediterranean forest ecosystems

Published:2023-06 Issue: Volume:538 Page:120975
ISSN:0378-1127
Container-title:Forest Ecology and Management
language:en
Short-container-title:Forest Ecology and Management

Author:

Pascual Adrián^ORCID,Guerra-Hernández Juan^ORCID,Armston John,Minor David M.^ORCID,Duncanson Laura I.,May Paul B.^ORCID,Kellner James R.,Dubayah Ralph

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Forestry

Reference27 articles.

1. National Forest Inventory and forest observational studies in Spain: Applications to forest modeling;Álvarez-González;For. Ecol. Manag.,2014

2. On promoting the use of lidar systems in forest ecosystem research;Beland;For. Ecol. Manag.,2019

3. Making forest data fair and open;de Lima;Nat. Ecol. Evol.,2022

4. The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography;Dubayah;Sci. Remote Sens.,2020

5. GEDI launches a new era of biomass inference from space;Dubayah;Environmental Research Letters,2022

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