The Globcover initiative comprises the development and demonstration of a service that in first instance produces a Global land cover map for year 2005/2006. Globcover uses MERIS fine resolution (300m) mode data acquired between mid 2005 and mid 2006 and, for maximum user benefit, the thematic legend is compatible with the UN Land Cover Classification System (LCCS). This new product updates and...

In this study, remote sensing and geographic information system (GIS) integration were used in order to analyse land cover of Gökceada Island by using Landsat 7 ETM data with slope and aspect data. Digital image processing techniques were conducted for the processes of image enhancement, manipulation, registration and classification for land cover analysis. Digital Elevation Model of the island...

The study aims to effects of Land Use / Land Cover Changes (LU/LCC) is the quantitative method, to expound the impact of land use/land cover changes in Manimuktha sub-watershed of Vellar basin, Tamilnadu, India. The relationship between Land Use Changes and its trend is analysed using IRS IC LISS III and PAN merged data. Further, the preparation of LU/LC map using Survey of India (SOI) Toposhee...

In this study, maximum likelihood supervised classification and post-classification change detection techniques were applied to Landsat images acquired in 1987 and 2001, respectively, to map land cover changes in the Northwestern coast of Egypt. A supervised classification was carried out on the six reflective bands for the two images individually with the aid of ground truth data. Ground truth...

The paper studies the applicability of various data mining techniques on aerial remote sensing imagery for automatic land-cover classification. Four techniques are applied, namely the Adaptive Dynamic K-means (ADK), Self Organizing Feature Map (SOFM), Machine Learning Induction Algorithm (C4.5) and Support Vector Machines (SVM). Special attention is drawn to the usefulness of these data mining ...

Preparation of land cover / land use maps for large areas, based on automatic classification of high-resolution satellite data is the objective of many application programmes, e.g. GSE Land Monitoring Services. The crucial point for this kind of activity is to apply optimal classification approach, which will ensure high class recognition accuracy and classification repeatability. Among differe...

A snow-cover mapping method accounting for forests (SnowFrac) is presented. SnowFrac uses spectral unmixing and endmember constraints to estimate the snow-cover fraction of a pixel. The unmixing is based on a linear spectral mixture model, which includes endmembers for snow, coniferous trees, branches of leafless deciduous trees and snow-free ground. Model input consists of a land-cover fractio...

Earth’s land cover has been extensively transformed over time due to both human activities and natural causes. Previous global studies have focused on developing spatial and temporal patterns of dominant human land-use activities (e.g., cropland, pastureland, urban land, wood harvest). Process-based modeling studies adopt different strategies to estimate the changes in land cover by using these...