Traditional pixel-based classification methods yield poor results when applied to synthetic aperture radar (SAR) imagery because of the presence of the speckle and limited spectral information in SAR data. A novel classification method, integrating polarimetric target decomposition, object-oriented image analysis, and decision tree algorithms, is proposed for land use and land cover (LULC) clas...

Land use and land cover (LULC) datasets for Beijing in 1978, 1987, 1992, 2000 and 2010 were developed from Landsat images using the object-oriented classification approach. The relationships between social-economic, demographic and political factors and time-series LULC data were examined for the periods between 1978 and 2010. The results showed the effectiveness of using the object-oriented de...

BACKGROUND Continuous land cover modification is an important part of spatial epidemiology because it can help identify environmental factors and Culex mosquitoes associated with arbovirus transmission and thus guide control intervention. The aim of this study was to determine whether remotely sensed data could be used to identify rice-related Culex quinquefasciatus breeding habitats in three r...

Land use and land cover (LULC) mapping is a powerful tool for monitoring large areas. For the Amazon rainforest, automated of critical importance, as changing rapidly due to forest degradation deforestation. Several research groups have addressed this challenge by conducting local surveys producing maps using freely available remote sensing data. However, automating process large-scale remains ...

Introduction: Nowadays, science mapping is considered an excellent technique for decision-makers to find solutions for problems in research planning and development. In this work, we aimed to depict a science map of “radiology, nuclear medicine, and medical imaging” in Iran. Methods: All publications indexed in Thomson Reuters Web of Science database in the fields mentioned above with at least...