At present, navigation data models, such as GDF4.0, KIWI, SDAL and WI 19134, didn't pay attention to form
pedestrian transport infrastructure into their models. With the development of navigation, pedestrian navigation has
become a hot topic. The research team put forward their pilot research on pedestrian data modeling for hybrid travel
patters, mainly including subway, bus and feet. Pedestrian road network modeling was made. Based on this, it carried out
the discussion on multi-level navigation data modeling of hybrid travel patterns. It also gave algorithm suggestion to
operate the optimal route computing more efficient. The future work is just to focus on demonstrate the algorithm.
At present the remote sensing technology has become one of the most essential tools in the landscape ecology research.
This paper is based on RS images from Landsat TM (1990), ETM (1999) and Aster (2004) imagery, with the support of
RS and GIS technology and utilization of landscape ecology principle. Selected suitable image processing system,
classification approaches and techniques and made a quantitative analysis of the study area's grassland landscape pattern
change. RS image processing software (PCI) and landscape pattern analyzing software (Fragstats) is used in this article.
The result shows that: in 1990, 1999 and 2004 the land use landscape pattern in study area experienced the considerable
change. As far as the dynamic change of grassland landscape in the study area is concerned, natural factor takes certain
driving action but human activities are the main driving force.
The development of multi-band remote sensing techniques has facilitated extracting various parameters of water quality
and water pollution. This paper analyzes the water quality of Aksu-Tarim River in Xinjiang, China with remotely
sensed data from the Landsat TM Satellite. Through the DN (Averaged Pixel digital number) of wave and routine data
monitoring, a model of monitoring the pollutants is developed. The model can reflect conditions of water quality. Results
from the water quality interpreted with remotely sensed images are closely related to the results of the routine data
collected in 2000. The model can be used to predict the water quality of rivers and it provides an efficient and
economical alternative to monitor water quality.
The Tarim River basin is an ecologically sensitive area and a key area for biodiversity protection and global-change
research. Based on the research on oasis-desert ecosystem, with the frontier theory of landscape ecology, spatial
differences of landscape of Yuli oasis are analyzed through the technological train of 3S and statistics. The paper puts
forwards some suggestions for landscape ecological construction. Studies on landscape pattern within the research area
are important for the sustainable development and conservation of the entire basin.
The research is based on data derived from fieldwork that is interpreted using fractal theory. The present study relied on multi-time satellite remote sensing data for the main sources of information. With the aide of image analysis techniques, desertification of Qira county and changes in the oasis-desert ecotone are analyzed.. In addition, the function of fractal theory in highly quantitative research of oasis-desert ecotones is discussed.. We suggest that the model derived from the present study should serve as a reference in decision-making concerning regional development and construction in order to simplify existing research processes.
This paper presents the results of an intercomparison study of data fusion methods. Three data fusion techniques, based respectively on the Daubechies wavelet basis method, the IHS transform, and the Principle Component Analysis (PCA), are compared with each other. According to the data set we used in this study, the Daubechies Wavelet Basis method is far more efficient than the PCA and the IHS transform, It thus establishes the advantages for data fusion, formally called multiple resolution analysis. This method is the best among the three for image sharpening and for maintaining the information of the original data. We conclude with the result from this study that the Daubechies Wavelet Basis method has the largest
application potential for merging the spatial and spectral characteristics of multiple resolution remote sensing data with high
Through "3S" techniques, the study has analyzed the quantitative, qualitative and spatial changes of the Keriya oasis land cover from 1989 to 1999. In contrast to the data of the past years’ fieldwork, the environmental change and the desertification degree of this study area for nearly 10 years have been analyzed, and the precaution line on the environmental evolution of the oasis has been extracted.
On the basis of the image database and vector database of the Keriya Oasis, the paper primarily studies the changes of the land cover of the oasis of Keriya during the last decade using remote sensing data and geographic information systems. In contrast to the data of the latest three years’ fieldwork, the environmental changes and the desertification degree of the study area have been analyzed. The results are relevant to the sustainable development of the west arid area.