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Research of global climate change has an urgent need for the distribution of CO2 emissions with high spatial resolution. Traffic is an important carbon source in the urban development. Real-time data collected by the Intelligent Traffic System (ITS) plays a more and more significant role in the CO2 spatial-temporal distribution data production. However, the amount of data is so large that the data...
This paper introduces an algorithm for rapid positioning using two epoch data in GPS, named Adjustment by Partly Mirrored Observations (ADPAM). Firstly, the structural characteristic of the observation matrix in GPS rapid positioning is analyzed. Secondly, according to the characteristic form the above, a new double-difference equation was designed to mitigate the ill-condition of the observation...
The process of oil and gas pipeline route selection involves many complex decision-making problems which include quantitative factors as well as a large number of qualitative factors that cannot be quantified. These factors affect the oil and gas pipeline alignments. How to determine the importance of these factors is a key question worthy of considering. The Analytic Hierarchy Process (AHP) is introduced...
The MODerate resolution Imaging Spectroradiometer (MODIS) data were widely used to estimate land surface evapotranspiration (ET). However, the MODIS ET estimates may not close the land surface water budget. A MODIS ET estimation approach was implemented in the Yellow River Basin of China from 2002 to 2004. The MODIS ET estimates were compared with the estimates from a water budget approach that inferred...
Biomass is one of the important indicators to measure the health condition of ecosystem. In this study, four types of vegetation index (NDVI, RVI, DVI and TNDVI) were chosen as the independent variables and simple regression model was used to analyze the biomass of the study area, Qaidam Basin. The best biomass estimation model based on the vegetation index was selected by comparing the models with...
The exact nature of the association between thecontext of the local area and local health outcomes is unknown. We investigated whether areas geographically close but divergentin terms of deprivation have greater inequality in health thanthose where deprivation is similar across neighbouring localities. In order to disaggregate the strong correlation between the deprivationof a target area and that...
The spatial distributions of soil heavy metals are not continuous with landscape heterogeneity. In the context, the existing spatial interpolation methods cannot obtain accurate estimation of contents of soil heavy metals in unknown locations. In this paper, we present a novel adaptive algorithm for spatial interpolation of soil heavy metals under spatial heterogeneity background. The core idea of...
In this study, 4 spatial interpolation methods, including Thiessen polygon, inverse distance weighted (IDW), ordinary kriging (OK), and ordinary cokriging (OCK), were adopted for spatial monthly precipitation interpolation. As confirmed by the results, OCK which adopt elevation as secondary variable was superior to other methods. On the other hand, the performance of OCK was also compared with that...
In this paper, we present a new method for dynamically profiling land use pattern and generating Origin-Destination matrices from millions of individual mobile phone traces. It is based on analyzing individual anonymzed mobile phone call records. Starting from these records, we systematically analyze the different signals received from the cell phone towers and identify the key feature associated...
Accurate remote assessment of chlorophyll-a (chla) concentration is particularly challenging in turbid waters, especially during the period of cyanobacterial algae bloom outbreak. In this study, we took Taihu Lake as an example, and presented a chl-a estimation method in the condition of cyanobacteria algae bloom outbreaking by using MODIS data. The main idea of this method is (1) to study the water...
Estimation of the seismic risk of schools in developing countries is an important but challenging task. In this paper, we report an attempt to estimate the damage and losses of primary schools during the Mw7.9 Wenchuan earthquake that ruptured on 12 May 2008 using SELENA (SEismic Loss EstimatioN from a logic tree Approach). In this study, the seismic hazard was assessed with the probabilistic analysis...
This paper investigates the effects of land's proximity to river at a distance of 200 meters on land prices in Tokyo metropolitan Area (TMA) using Geographic Information System (GIS). Line Density Function was employed to estimate the effects of distance and Geographically Weighted Regression (GWR) was applied for assessing the effects of land's proximity to river. The result of GWR demonstrated that...
Since the beginning of 1998, China has begun its gradual and but incremental implementation of housing reform nationwide. Over the last decade, residential housing is leading the growth and expansion of China's real estate market. There is a need to understand how housing prices are spatially structured and differentiated in metropolitan areas in order to provide relevant information for policy makers...
As road crashes are constrained to a one-dimensional space, this paper analyzes the spatial distribution of road crashes with a GIS-based network-constrained kernel density method. A dissolving procedure is introduced before road segmentation, which can significantly reduce the undesirable effects during the segmentation process. The result of the sensitivity analysis reflects that the bandwidth imposes...
This paper proposed a winter wheat extraction and estimation model for Jiangsu province, China, using HJ multi temporal images and MODIS-VI time series. The illustrations of winter wheat's representative phenological calendar features presented on EVI series are taken as optimal indicators. Combined with field surveys, HJ EVI and NDVI features are depicted, and winter wheat area on typical research...
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