Land Cover

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As part of the ESA Climate Change Inititiave (CCI), the Land_Cover_cci project is concerned with the generation of the land cover ECV. Land cover is defined as the physical material at the surface of the earth. Land covers include grass, asphalt, trees, bare groung, water, etc. The overall Land_Cover_cci objective is to critically revisit all algorithms required for the generation of a global land product in the light of GCOS requirements, and to design and demonstrate a prototype system delivering in a consistent way over years and from various EO instruments global land cover information matching the needs of key users’ belonging to the climate change community. The focus is placed on the ESA and Member States missions providing near daily global surface reflectance observation at moderate spatial resolution (MERIS FR & RR, SPOT VEGETATION) but the contribution of ESA SAR sensors will also be investigated to tackle specific land cover discrimination issue.


Land Cover products & equivalent CMIP5/Obs4MIPs Parameters

The table below shows the Land Cover outputs that have equivalent CMIP5 parameters and hence are suitable for submission to Obs4MIPs (Observations for Model Intercomparisons), an activity to make observational products more accessible for climate model intercomparisons.

CCI
Product
CMIP5 Table CMIP5 Matching Parameter : CMIP5 Name CMIP5 Priority
MERIS Surface Reflectance Lmon COMPLEX: Cf Lmon Table (A lot of parameters like fraction of different soil types) 1
Land Cover Maps fx Land Area Fraction : sft1f 1
Average of Vegetation Greenness (NDVI) - - -
Occurrence Probability of Snow Limon 1
Occurrence Probability of Burned Area Limon Burnt Area Fraction : burntArea 1
Global Water Bodies Limon Fraction of Grid Cell that is Land but Neither Vegetation-Covered nor Bare Soil : residualFrac 1

Parameter characteristics & GCOS Requirements

Land-cover.png


Split at 3km is arbitrary
Types of errors
Single sensor uncertainty estimates for every observation (SSEOB)
Single sensor accuracy estimates for every observation (SSAOB)
Single sensor uncertainty estimates for TCDR (SSECDR)
Single sensor accuracy estimates for TCDR (SSACDR)
Error covariance matrix for TCDR (ERRCOV)
L3 merged product accuracy (ERRMERG)