Land cover change has always had a central role in land change science. This central role
is largely the result of the possibilities to map and characterize land cover based on …

Geographic Object-Based Image Analysis (GEOBIA) represents the most innovative new
trend for processing remote sensing images that has appeared during the last decade …

The automation of agricultural mapping using satellite-derived remotely sensed data
remains a challenge in Africa because of the heterogeneous and fragmental landscape …

Land cover–land use (LCLU) classification tasks can take advantage of the fusion of radar
and optical remote sensing data, leading generally to increase mapping accuracy. Here we …

Agricultural activities have dramatically altered our planet's land surface. To understand the
extent and spatial distribution of these changes, we have developed a new global data set of …

Land use and land cover data play a central role in climate change assessments. These
data originate from different sources and inventory techniques. Each source of land …

This book presents recent estimates on the rate of change of major land classes.
Aggregated globally, multiple impacts of local land changes are shown to significantly affect …

A Global Land Cover Climatology Using MODIS Data in: Journal of Applied Meteorology and
Climatology Volume 53 Issue 6 (2014) Jump to Content Jump to Main Navigation Logo Logo …

Comparing the performance of different satellite sensors in global land cover change (LCC)
monitoring is necessary to assess their potential and limitations for more accurate and …

Many investigators need and use global land cover maps for a wide variety of purposes.
Ironically, after many years of very limited availability, there are now multiple global land …