GEDI meets BIOMASS tomography: data selection and perspectives
Author:
Affiliation:
1. University of Montpellier,UMR TETIS, INRAE,Montpellier,France,34090
2. University of Toulouse,ISAE-SUPAERO,France
3. CESBIO,Toulouse,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282132.pdf?arnumber=10282132
Reference15 articles.
1. Tropical forest top height by GEDI: From sparse coverage to continuous data;ngo;Remote Sensing,2023
2. Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission
3. Vertical Structure of P-Band Temporal Decorrelation at the Paracou Forest: Results From TropiScat
4. The Impact of Temporal Decorrelation on BIOMASS Tomography of Tropical Forests
5. Tropical Forest Height Retrieval Based on P-Band Multibaseline SAR Data
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