Remote sensing satellite data offer the unique possibility to map land use land cover transformations by providing spatially explicit information. However, detection of short-term processes and land use patterns of high spatial-temporal variability is a challenging task. We present a novel framework using multi-temporal TerraSAR-X data and machine learning techniques, namely Discriminative Mark...

We present a method for assessing land cover change on continental scale and with high spatial resolution. This is a post-classification method, but instead of tracking transitions of land cover classes on cell-by-cell basis the method measures the change at a tile level by quantifying a difference between local patterns of land cover at two different time steps. Pattern-based change assessment...

This note concerns the updating of the land cover map of the Arno River basin (9.000 km) developed in the frame of a research project aimed at landslide risk assessment. The land cover map has been produced through the analysis of panchromatic/multispectral Landsat ETM+ images and TERRA-ASTER data; those data were integrated and compared with B/W and color ortho-photos. To improve photointerpre...

Urban ecosystem assessments increasingly rely on widely available map products, such as the U.S. Geological Service (USGS) National Land Cover Database (NLCD), and datasets that use generic classification schemes to detect and model large-scale impacts of land-cover change. However, utilizing existing map products or schemes without identifying relevant urban class types such as semi-natural, y...

Urban development has enlarged the modification of natural resources and has changed land use and land cover patterns. Urbanization is a process of increase of modernization system which modifies the socioeconomic activities and revolutionizes the land use practice according to time frame. Due to the proximate and underlying causes, land use and land cover change has become the main challenge o...

Given the current lack of interoperability between global and regional land cover products, efforts are underway to link the new European global land cover map (GLOBCOVER) with the existing global land cover 2000 map (GLC2000) and European CORINE mapping initiative. Since both datasets apply different mapping standards, key for a successful implementation is a thorough understanding of the hete...

multi-spectral remotely sensed data is useful information source for the detection of surface changes and change detection is a major application of the remotely sensed data. this study is conducted to investigate capability of sensor liss-iii of irs-p6resource satellite data for providing land cover map, in najm abad of savojbolagh region with 20000 ha area. the images of 26th june, 2006 were ...

this study was performed with objective land cover change prediction (forest, agriculture, residential and orchard) using logistic regression and markov chain in the gis environment in east of mazandaran province. land cover change detected using satellite imageries belonging to the years 1987 and 2001. transition potential modeling was conducted using a logistic regression. seven variables (de...