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The land use and land cover changes have been issues for better understanding human-land relations and sustainable development of regional land sources. This paper was to analyze the land use and land cover changes in new land around Bohai bay with crisp ecosystem and fast development during last 20 years with RS and GIS taking Guangrao county as a case study. In this study, two Landsat TM images...
Tibet is one of the five largest pasturing regions of China. Grassland classification is significant for its utilization and protection, but few correlative studies have been done in Tibet due to its rugged natural conditions, which make it difficult and time-consuming to conduct extensive field measurements. The remote-sensing technique is helpful for grassland classification in such regions. In...
Aiming at the optimal segmentation scale selection for object-oriented remote sensing image classification, thesis brought forward a new method named vector distance index. Research verified the validity and applicability of this method by carrying out experiment at wetland area with China Brazil Earth resource satellite image. Both two experiment showed that it could realize the optimal segmentation...
A methodology for cartography and assessment of the degree of man-induced transformation on an urban territory based on extraction of thematic information from very high resolution multi spectral Quickbird image is presented in the present paper. The proposed methodology includes 10 work stages and it has been examined on a highly fragmented urban territory (including forested and agricultural lands)...
In the past thousands of years, the Grand Canal not only promoted political, economic and cultural development in China, but also formed the pattern of cities which lie along the canal called ldquoCanal Citiesrdquo. To comprehend the relationship between the city and the canal can benefit the urban planning and development. Remote Sensing and Geographical Information System technology enable us to...
Satellite images are now used as the primary source of spatial information for land-use pattern analysis. In this paper, land-use information is extracted by the maximum likelihood classification (MLC) and neural network classification (NNC) method, which is a combinative methodology of automatic extraction and recognition of land-use in Beijing City from remote sensing data. The temporal and spatial...
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