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MULTIFREQUENCY MICROWAVE VEGETATION INDEXES FOR ESTIMATING VEGETATION BIOMASS

Conference Paper
Publication Date:
2015
abstract:
The polarization capabilities in estimating vegetation biomass on both global and local scales by using passive and active microwave satellite data (AMSR-E/2, ENVISAT and COSMO-SkyMed) were investigated. Two algorithms that are based on Artificial Neural Networks (ANN) and are able to ingest data from different frequency channels have been implemented.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Microwave Polarization Indices; Vegetation biomass; Artificial Neural Networks; AMSR2; Cosmo-Skymed
List of contributors:
Pampaloni, Paolo; Santi, Emanuele; Paloscia, Simonetta
Authors of the University:
PALOSCIA SIMONETTA
SANTI EMANUELE
Handle:
https://iris.cnr.it/handle/20.500.14243/331650
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