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The capability of IKONOS (IKO, 4 m resolution) data for mapping seagrass (%SAV) cover and quantifying spatial patterns along the mid-western coast of Florida, USA, was explored. Both IKO and Landsat TM data were preprocessed to calculate water depth invariant bands and the textural information was extracted from IKO data. Our results demonstrate that the IKO sensor produced a higher accuracy than...
The spatial pattern of prehistoric settlement sites in Henan Province is researched. By analyzing the relationship between prehistoric settlement sites location and regional altitude, terrain slope, rivers and other geographical environment factors, the laws of the distribution of prehistoric settlement sites are found: more than 70% of settlement sites are located at the altitude of from 50 to 400...
Two layers reaction-diffusion cellular neural networks (RDCNN) are used for studying the formation of spatial and oscillatory patterns on the plane. In last years, computation based on waves has been used for applications such as synchronicity and navigation with walking mini-robots. Two RDCNN are used for controlling navigation with auto-waves. The first RDCNN emits attractive waves from the objective,...
As a theoretical concept, and a means to understand the potential of interference alignment, in this paper we investigate possibilities to place n transmitter-receiver pairs in n - 1 dimensions such that the interference from unintended transmissions is aligned at each receiving node. By such an arrangement each link has half of the capacity available, at least in theory. Regular patterns of stations...
Study of spatial scale effect on regional land-use pattern analysis for construction of spatial model of regional land-use change entails consideration of regional land-use classification system selected and data source used. The effect characteristics of spatial scale on the results of regional land-use pattern analysis was investigated for two different classification systems and different data...
Forest landscape change and its driving forces are becoming the major issues in forest management. Comprehension of historical changes in landscape and forest management will provide valuable insights into current ecosystem and will support future forest management and restoration strategies. This paper focused on the changes in the forest landscape of Baihe Forestry bureau in northeastern China from...
With regional economy development and the changes of urban development strategies, Shanghai experienced a distinct land use change process during the past 30 year. To explore the spatial pattern and temporal dynamics of urban land and industrial land over the past years, two independent datasets from multitemporal satellite images based on interpretation with computer-aids and object-oriented classification...
Rapid economic development, combined with tremendous population growth and migration from rural areas, has resulted in a dramatic urbanization in the Yangtze River Delta over the last three decades. In order to develop a more quantitative understanding of urbanization trajectory in the Yangtze Delta from the late 1980s to 2005, the time-series national land cover / land-use database (NLCD), interpreted...
A user-friendly timber simulation program was developed by using object oriented programming technique. The component object model (COM) was used to design and implement the program. Three major modules were included in the harvesting simulation system: RUN, ANALYSIS, and REPORT. Input to the system includes species composition, stand density, spatial pattern, felling machine and cutting method for...
By gradient analysis of landscape elements using remote sensing, this paper studied the spatial pattern of urbanization of Shijiazhuang, Hebei Province, China. Several landscape indices and class level were calculated in Fragstats with a moving window on two land use maps derived from remote sensing images along two transects of 64 km times 6 km, 66 km times 6 km wide, respectively. The result showed...
The integration of climate, satellite, ocean, and biophysical data holds considerable potential for enhancing our drought monitoring and prediction capabilities beyond the tools that currently exist. Improvements in meteorological observations and prediction methods, increased accuracy of seasonal forecasts using oceanic indicators, and advancements in satellite-based remote sensing have greatly enhanced...
Reflectance pattern and spatial pattern characterize the geospatial data. Current semantic-enabled framework retrieval system extract primitive features based on color, texture (Spatial Gray Level Dependency - SGLD matrices), and shape from the segmented homogenous region. This system can use only three bands (true color or false color) at a time to capture color information as it converts RGB space...
We propose a novel method for mining knowledge from linked Web pages. Unlike most conventional methods for extracting knowledge from linked data, which are based on graph theory, the proposed method is based on our associated keyword space (ASKS), which is a nonlinear version of linear multidimensional scaling (MDS), such as quantification method type IV (Q-IV). We constructed a three-dimensional...
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