排序方式： 共有18条查询结果，搜索用时 15 毫秒
1.
Erik H. Schmidt Budhendra L. Bhaduri Nicholas Nagle Bruce A. Ralston 《地理信息系统科学与遥感》2018,55(6):860-879
For many researchers, government agencies, and emergency responders, access to the geospatial data of US electric power infrastructure is invaluable for analysis, planning, and disaster recovery. Historically, however, access to high quality geospatial energy data has been limited to few agencies because of commercial licenses restrictions, and those resources which are widely accessible have been of poor quality, particularly with respect to reliability. Recent efforts to develop a highly reliable and publicly accessible alternative to the existing datasets were met with numerous challenges – not the least of which was filling the gaps in power transmission line voltage ratings. To address the line voltage rating problem, we developed and tested a basic methodology that fuses knowledge and techniques from power systems, geography, and machine learning domains. Specifically, we identified predictors of nominal voltage that could be extracted from aerial imagery and developed a tree-based classifier to classify nominal line voltage ratings. Overall, we found that line support height, support span, and conductor spacing are the best predictors of voltage ratings, and that the classifier built with these predictors had a reliable predictive accuracy (that is, within one voltage class for four out of the five classes sampled). We applied our approach to a study area in Minnesota. 相似文献
2.
On a novel approach to forecast sparse rare events: applications to Parkfield earthquake prediction 总被引：1，自引：1，他引：0
Natural Hazards - Rare events are plentiful in nature and most of them have devastating consequences on human lives and property. Modeling such events is intrinsically challenging due to their very... 相似文献
3.
Tapan Pal Biswajit Ghosh Anindya Bhattacharya S. K. Bhaduri 《Journal of Earth System Science》2010,119(1):19-25
The bedded felsic tuff exposed in Rutland Island, Andaman, consists of two facies:
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white massive tuff with ill-defined bedding contacts (facies-A) and 相似文献
4.
Lauren Patterson Marie Urban Aaron Myers Budhendra Bhaduri Eddie Bright Phillip Coleman 《GeoJournal》2007,69(1-2):93-102
Geospatial technologies and digital data have developed and disseminated rapidly in conjunction with increasing computing
efficiency and Internet availability. The ability to store and transmit large datasets has encouraged the development of national
infrastructure datasets in geospatial formats. National datasets are used by numerous agencies for analysis and modeling purposes
because these datasets are standardized and considered to be of acceptable accuracy for national scale applications. At Oak
Ridge National Laboratory a population model has been developed that incorporates national schools data as one of the model
inputs. This paper evaluates spatial and attribute inaccuracies present within two national school datasets, Tele Atlas North
America and National Center of Education Statistics (NCES).
Schools are an important component of the population model, because they are spatially dense clusters of vulnerable populations.
It is therefore essential to validate the quality of school input data. Schools were also chosen since a validated schools
dataset was produced in geospatial format for Philadelphia County; thereby enabling a comparison between a local dataset and
the national datasets.
Analyses found the national datasets are not standardized and incomplete, containing 76 to 90 percent of existing schools.
The temporal accuracy of updating annual enrollment values resulted in 89 percent inaccuracy for 2003. Spatial rectification
was required for 87 percent of NCES points, of which 58 percent of the errors were attributed to the geocoding process. Lastly,
it was found that by combining the two national datasets, the resultant dataset provided a more useful and accurate solution. 相似文献
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6.
Warren C. Jochem Kelly Sims Edward A. Bright Marie L. Urban Amy N. Rose Phillip R. Coleman Budhendra L. Bhaduri 《Natural Hazards》2013,68(3):1325-1342
In recent years, uses of high-resolution population distribution databases are increasing steadily for environmental, socioeconomic, public health, and disaster-related research and operations. With the development of daytime population distribution, temporal resolution of such databases has been improved. However, the lack of incorporation of transitional population, namely business and leisure travelers, leaves a significant population unaccounted for within the critical infrastructure networks, such as at transportation hubs. This paper presents two general methodologies for estimating passenger populations in airport and cruise port terminals at a high temporal resolution which can be incorporated into existing population distribution models. The methodologies are geographically scalable and are based on, and demonstrate how, two different transportation hubs with disparate temporal population dynamics can be modeled utilizing publicly available databases including novel data sources of flight activity from the Internet which are updated in near-real time. The airport population estimation model shows great potential for rapid implementation for a large collection of airports on a national scale, and the results suggest reasonable accuracy in the estimated passenger traffic. By incorporating population dynamics at high temporal resolutions into population distribution models, we hope to improve the estimates of populations exposed to or at risk to disasters, thereby improving emergency planning and response, and leading to more informed policy decisions. 相似文献
7.
Hawaiian volcanoes such as Kilauea and Mauna Loa have drawn the attention of researchers for quite some time and numerous theories abound hinting at a possible inverse relationship between the two. Most of these analyses are intrinsically qualitative and are bereft of data-driven statistical justification. The present work attempts to address this issue adopting a more mathematical approach and endeavours to examine the existence of such a relationship through the novel use of a smoothing statistic termed as the empirical recurrence rates ratio. Additionally, it is shown that useful knowledge about the possible interplay between these two volcanoes is coded into this single statistic and based on it; construction of new dependence measures such as the two introduced, becomes simpler and much more intuitive. The recent decade is witnessing an increased activity of Kilauea and the methods proposed here can be successfully implemented to safeguard human lives and property against the unpredictable advances of all-engulfing molten lava flow. 相似文献
8.
Aarthy Sabesan Kathleen Abercrombie Auroop R. Ganguly Budhendra Bhaduri Eddie A. Bright Phillip R. Coleman 《GeoJournal》2007,69(1-2):81-91
Geospatial data sciences have emerged as critical requirements for high-priority application solutions in diverse areas, including,
but not limited to, the mitigation of natural and man-made disasters. Three sets of metrics, adopted or customized from geo-statistics,
applied meteorology and signal processing, are tested in terms of their ability to evaluate geospatial datasets, specifically
two population databases commonly used for disaster preparedness and consequence management. The two high-resolution, grid-based
population datasets are the following: The LandScan dataset available from the Geographic Information Science and Technology
(GIST) group at the Oak Ridge National Laboratory (ORNL), and the Gridded Population of the World (GPW) dataset available
from the Center for International Earth Science Information Network (CIESIN) group at Columbia University. Case studies evaluate
population data across the globe, specifically, the metropolitan areas of Washington DC, USA, Los-Angeles, USA, and Houston,
USA, and London, UK, as well as the country of Iran. The geospatial metrics confirm that the two population datasets have
significant differences, especially in the context of their utility for disaster readiness and mitigation. While this paper
primarily focuses on grid based population datasets and disaster management applications, the sets of metrics developed here
can be generalized to other geospatial datasets and applications. Future research needs to develop metrics for geospatial
and temporal risks and associated uncertainties in the context of disaster management.
The U. S. Government’s right to retain a non-exclusive, royalty-free license in and to any copyright is acknowledged. 相似文献
9.
Qiang Cai Gerard Rushton Budhendra Bhaduri Edward Bright Phillip Coleman 《Transactions in GIS》2006,10(4):577-598
The objective of this research is to compute population estimates by age and sex for small areas whose boundaries are different from those for which the population counts were made. In our approach, population surfaces and age‐sex proportion surfaces are separately estimated. Age‐sex population estimates for small areas and their confidence intervals are then computed using a binomial model with the two surfaces as inputs. The approach was implemented for Iowa using a 90 m resolution population grid (LandScan USA) and U.S. Census 2000 population. Three spatial interpolation methods, the areal weighting (AW) method, the ordinary kriging (OK) method, and a modification of the pycnophylactic method, were used on Census Tract populations to estimate the age‐sex proportion surfaces. To verify the model, age‐sex population estimates were computed for paired Block Groups that straddled Census Tracts and therefore were spatially misaligned with them. The pycnophylactic method and the OK method were more accurate than the AW method. The approach is general and can be used to estimate subgroup‐count types of variables from information in existing administrative areas for custom‐defined areas used as the spatial basis of support in other applications. 相似文献
10.
Classifying urban land cover from high-resolution satellite imagery is challenging, and those challenges are compounded when the imagery databases are very large. Accurate land cover data is a crucial component of the population distribution modeling efforts of the Oak Ridge National Laboratory’s (ORNL) LandScan Program. Currently, LandScan Program imagery analysts manually interpret high-resolution (1–5 m) imagery to augment existing satellite-derived medium (30 m) and coarse (1 km) resolution land cover datasets. For LandScan, the high-resolution image archives that require interpretation are on the order of terabytes. The goal of this research is to automate human settlement mapping by utilizing ORNL’s high performance computing capabilities. Our algorithm employs gray-level and local edge-pattern co-occurrence matrices to generate texture and edge patterns. Areas of urban land cover correlate with statistical features derived from these texture and edge patterns. We have parallelized our algorithms for implementation on a 64-node system using a single instruction multiple data programming model (SIMD) with Message Passing Interface (MPI) as the communication mode. Our parallel-configured classifier performs 30–40 times faster than stand-alone alternatives. We have tested our system on IKONOS imagery. The early results are promising, pointing towards future large-scale classification of human settlements at high-resolution. 相似文献
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