The Land Use/ Cover (LULC) is an essential application in many remotely sensed projects and problems. use simply man-made objects such as urban, road complex targets, etc., while land covers are defined any target phenomenon that appear neutral. LULC study for all current future engineering projects, it shows the nature of land's components, which evident studying modernizing residential areas....

Classifying remote sensing imageries to obtain reliable and accurate LandUse/Cover (LUC) information still remains a challenge that depends on many factors suchas complexity of landscape especially in arid region. The aim of this paper is to extractreliable LUC information from Land sat imageries of the Pishkouh watershed of centralarid region, Iran. The classical Maximum Likelihood Classifier ...

Harmonisation of land-use class sets should consider both space and time, as the objective should include harmonisation of land-use change in order to analyse environmental processes and problems. Existing systems make only a limited contribution to data harmonisation and data standardisation as they contain many inconsistencies in the adherence to the fundamental principles of classification a...

In this study, a land cover classification method based on multi-class Support Vector Machines (SVM) is presented to predict the types of land cover in Miyun area. The obtained backscattered full-waveforms were processed following a workflow of waveform pre-processing, waveform decomposition and feature extraction. The extracted features, which consist of distance, intensity, Full Width at Half...

This paper describes first results of a land cover / land use (LCLU) classification of Germany, developed at the German Remote Sensing Data Center (DLR-DFD). The automated, yearly updated product is based on MERIS level 2 full resolution data. The classification procedure consists of two main steps, namely a multispectral and a multitemporal analysis. The legend of the LCLU map is defined accor...

The importance of accurately describing the nature of land cover resources is increasing. With the aim to analyze the consistency of remotely sensed images from different sensors for land cover classification, three medium spatial resolution optical image sources in Xuzhou city were classified in the study, including CBERS, ETM, and ASTER. Land cover classification was conducted by Maximum Like...

Land use patterns are fragile and sophisticated in Taiwan. In order to rapidly derive detail information of land use/land cover, it is necessary to employ remote sensing techniques because of its broad area coverage and fast data acquirement. The purposes of this research are to use high-resolution satellite images, such as IKONOS, to obtain urban land use information, and to apply fuzzy algori...