Detailed and accurate land cover and land cover change information is needed for South America because the continent is in constant flux, experiencing some of the highest rates of land cover change and forest loss in the world. The land cover data available for the entire continent are too coarse (250 m to 1 km) for resource managers, government and non-government organizations, and Earth scien...

The Victorian Land Use Information System (VLUIS) produces an annual land information product for the state of Victoria. It comprises three important characteristics of land information: tenure (ownership), use (property type), and cover (physical surface). The land cover component is created using a remote sensing approach. Using MODIS EVI 16-day image composites (MOD13Q1) collected over 12 mo...

land use maps are the most essential information in the hand of natural resources managers.in the present research, to prepare dahat abbas land use map, landsat etm+ (1386) data was used. the image was geometrically corrected with root mean square error of less than 0.47. for classification, artificial neural network, support vector machine and maximum likelihood methods were used.finally, thel...

Historical land use information is essential to understanding the impact of anthropogenic modification of land use/cover on the temporal dynamics of environmental and ecological issues. However, due to a lack of spatial explicitness, complete thematic details and the conversion types for historical land use changes, the majority of historical land use reconstructions do not sufficiently meet th...

This paper examines the application of object-orientated processing and artificial intelligence techniques to high spatial resolution satellite sensor images for urban land-use monitoring. Although these techniques have been applied to aerial photography for some time, their use in the analysis of digital images acquired by satellite sensors is much less well developed. Within this study, a two...

Several techniques exist for remote sensing (RS) image classification, which includes supervised and unsupervised approaches. Classified maps are the main product of remote sensing image classification. Accuracy assessment of these classified maps is one of the foremost and important tasks of RS image classification technique. Without accuracy assessment the quality of map or output produced wo...

In this work we begin by performing a Principal Component Analysis (PCA) on NDVI computed over clear-sky pixels from VEGETATION data. Two techniques (i.e. ISODATA and Fuzzy Clustering) are applied to the two retained Principal Components and used to produce a land cover map over Portugal. Quality of performed classifications is assessed based on a confusion matrix, using as reference the Corine...

The aim of th is research is to produce an urban land cover map ready to be used for planning and management. To extract the reliable information from the selected remote sensing (RS) data, a knowledge-based method based on a rule-based approach is constructed. The result of the knowledge-based technique is compared with the result of a standard maximum likelihood classification (MLC) method an...