Global L-band vegetation volume fraction estimates for modeling vegetation optical depth

6533b836fe1ef96bd12a1558

RESEARCH PRODUCT

Global L-band vegetation volume fraction estimates for modeling vegetation optical depth

Andrew F. Feldman Adriano Camps Mercè Vall-llossera Anke Fluhrer Dara Entekhabi François Jonard David Chaparro Thomas Jagdhuber Maria Piles

subject

Canopy Biomass (ecology)Radar Teledetecció biomass Moisture Phenology Attenuation vegetation gravimetric moisture content Seasonality :Enginyeria de la telecomunicació [Àrees temàtiques de la UPC]Remote sensing medicine.disease Atmospheric sciences Vegetation gravimetric moisture content Aquarius scatterometer Vegetation structure medicine Spatial ecology Environmental science Biomass medicine.symptom Vegetation (pathology)

description

The attenuation of microwave emissions through the canopy is quantified by the vegetation optical depth (VOD), which is related to the amount of water, the biomass and the structure of vegetation. To provide microwave-derived plant water estimates, one must account for biomass/structure contributions in order to extract the water component from the VOD. This study uses Aquarius scatterometer data to build an L-band global seasonality of vegetation volume fraction (d), representative of biomass/structure dynamics. The dynamic range of d is adapted for its application in a gravimetric moisture (Mg) retrieval model. Results show that d ranging from 0 to 3.35.10- 4 is needed for modelling physically reasonable Mg values. The global average of d shows consistent spatial patterns across vegetation distributions, and d seasonality is coherent with the phenology of the studied vegetation types. These findings enable the separation of information on vegetation water and biomass/structure inherent within VOD. This work was supported by “la Caixa” Foundation (ID 100010434), under agreement LCF /PR/MIT19/51840001 (MIT -Spain Seed Fund), and by the Spanish Ministry of Science, Innovation and Universities and the European Regional Development Fund (ERDF, EU) through projects ESP2017-89463-C3-3-R, RTI2018-096765-A-100, CAS19/00264 and MDM-2016-0600. Also, the authors are grateful to MIT for supporting this research with the MIT-Germany Seed Fund (D. Entekhabi, T. Jagdhuber). Peer Reviewed

year	journal	country	edition	language
2021-01-01

10.1109/igarss47720.2021.9554872 https://hdl.handle.net/2117/365791