The European Space Agency (ESA) Climate Change Initiative (CCI) is aiming, in its current phase, at an accurate description and analysis of land cover (LC) and land cover change (LCC) using high spatial resolution Earth Observation (EO) data. A new high resolution LC map could have a key role in the extraction of the so-called Essential Climate Variables (ECV), and be crucial to understand climate change. Indeed, until now these important variables have been derived by the climate modelling community at the global scale using medium resolution EO data (i.e., with a spatial sampling between 100 and 300 m).

Global Vegetation Mapping for ESA Climate Change Initiative Project Leveraging Multitemporal High Resolution Sentinel-1 SAR Data

Marzi D.;Gamba P.
2020

Abstract

The European Space Agency (ESA) Climate Change Initiative (CCI) is aiming, in its current phase, at an accurate description and analysis of land cover (LC) and land cover change (LCC) using high spatial resolution Earth Observation (EO) data. A new high resolution LC map could have a key role in the extraction of the so-called Essential Climate Variables (ECV), and be crucial to understand climate change. Indeed, until now these important variables have been derived by the climate modelling community at the global scale using medium resolution EO data (i.e., with a spatial sampling between 100 and 300 m).
978-1-7281-6374-1
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11571/1439706
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