Commercially available high-resolution satellite imagery from sensors such as IKONOS and QuickBird are important data sources for a variety of urban area applications including infrastructure feature extraction and land cover mapping. Land cover maps from medium and high-resolution imagery are typically generated through supervised spectral classification of multispectral imagery. Supervised cl...

1:50000 land cover classification and mapping program is an important part of the mapping project in western China, which is organized by Chinese State Bureau of Surveying and Mapping Organization and will finish 5032 maps at scale of 1:50000 until 2010. With an average altitude of 4400 m, Sanjiangyuan mapping district is located at the center of the Qinghai-Tibet Plateau. Because of complicate...

Land cover data represent a fundamental data source for various types of scientific research. The classification of land cover based on satellite data is a challenging task, and an efficient classification method is needed. In this study, an automatic scheme is proposed for the classification of land use using multispectral remote sensing images based on change detection and a semi-supervised c...

Land cover plays a significant role in the earth system science, which reflects the influence of human activities and environmental changes (Sellers et al., 1997; IGBP, 1990; Aspinall et al, 2004). In China, Many land use/cover maps can be used in recent years derived from remote sensing observation. These data will be whether or how combined effectively to produce better land cover map that is...

Mapping land cover change is an important problem for the scientific community as well as policy makers. Traditionally, bi-temporal classification of satellite data is used to identify areas of land cover change. However, these classification products often have errors due to classifier inaccuracy or poor data, which poses significant issues when using them for land cover change detection. In t...

land cover classification is one of the most important applications of polarimetric radar images, especially in urban areas. there are numerous features that can be extracted from these images for the use of their high potential, hence feature selection plays an important role in polsar image classification. in this study, three main steps are used to improve the classification: 1) feature extr...

High-latitude ecosystems play an important role in the global carbon cycle and in regulating the climate system and are presently undergoing rapid environmental change. Accurate land cover data sets are required to both document these changes as well as to provide land-surface information for benchmarking and initializing Earth system models. Earth system models also require specific land cover...