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Monitoring forest above-ground biomass from multifrequency vegetation optical depth: a preliminary study

Authors :
Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
Universitat Politècnica de Catalunya. CTE-CRAE - Grup de Recerca en Ciències i Tecnologies de l'Espai
Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
Olivares Cabello, Claudia Lily
Chaparro Danon, David
Vall-Llossera Ferran, Mercedes Magdalena
Camps Carmona, Adriano José
Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
Universitat Politècnica de Catalunya. CTE-CRAE - Grup de Recerca en Ciències i Tecnologies de l'Espai
Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
Olivares Cabello, Claudia Lily
Chaparro Danon, David
Vall-Llossera Ferran, Mercedes Magdalena
Camps Carmona, Adriano José
Publication Year :
2021

Abstract

Vegetation Optical Depth (VOD) is highly sensitive to Above-ground Biomass (AGB), particularly at L-band, as this band is more sensitive to the canopy layer and has greater ca pacity to penetrate the vegetation. However, higher frequen cies, such as C- and X-bands are more related to smaller veg etation structures. Then a combination of these three bands is expected to be relevant to accurate AGB retrievals. This study presents a comparison of three VOD products at three bands and evaluates the performance of a multi-frequency VOD combination by applying a Principal Component Re gression (PCR) to Forest biomass. Results show that L-band VOD captures the 84% of the biomass and the PCR is built, mainly, for this band meaning that higher frequencies do not contribute substantially to the AGB retrieval in this study, still they do not affect the retrievals negatively.<br />Peer Reviewed<br />Postprint (author's final draft)

Details

Database :
OAIster
Notes :
4 p., application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1331655212
Document Type :
Electronic Resource