Considerable efforts have recently resulted in the development of global land cover data at
large spatial scales. The main objective of this study is a comparison of different AVHRR …

Six widely used coarse-resolution global land cover data-sets–Global Land Cover
Characterization (GLCC), Global Land Cover 2000 (GLC2000), GlobCover land cover …

A pan-European forest cover map (FMAP2006) was produced using a novel automated
classification approach using remotely sensed data from fine resolution satellite instruments …

In the last 10 years a number of new global datasets have been created and new, more
sophisticated algorithms have been designed to classify land cover. GlobCover and MODIS …

Harmonized forest area information provides an important basis for environmental modelling
and policy-making at both national and international levels. Traditionally, this information …

National Forest Inventories (NFIs) provide quantitative information on forest area, volume,
growing stock and composition at national level but in most cases these data cannot be …

Land cover is one of the key terrestrial variables used for monitoring and as input for
modelling in support of achieving the United Nations Strategical Development Goals. Global …

The process of gathering land-cover information has evolved significantly over the last
decade (2000–2010). In addition to this, current technical infrastructure allows for more rapid …

Monitoring of land cover (LC) provides important information of actual land use (LU) and
landscape dynamics. LC research results depend on the size of the area, purpose and …

The objective of the project was to combine information from both remote sensing and forest
inventory statistics, and produce a NOAA-AVHRR-based forest map that corresponds to the …