Mapping Aboveground Forest Biomass from Ikonos Satellite Image and Multi-Source Geospatial Data using Neural Networks and a Kriging Interpolation

The present study develops a method for aboveground forest biomass mapping from Ikonos imagery and geospatial data. Reference biomass values by group of species were estimated using Ker's equations and inventory data from permanent sample plots (PEP) of 400 m 2 . A supervised classification of...

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Bibliographische Detailangaben

Hauptverfasser:	Coulibaly, L., Migolet, P., Adegbidi, H.G., Fournier, R., Hervet, E.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Aboveground forest biomass Biomass Data mining Equations Ikonos image Interpolation Maximum likelihood estimation Multilayer perceptrons Neural networks ordinary kriging Remote sensing Satellites Spatial resolution Vegetation mapping
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