Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands,USA   总被引：1，自引：0，他引：1  

Stephen P. Boyte  Bruce K. Wylie  Matthew B. Rigge  Devendra Dahal 《地理信息系统科学与遥感》2018,55(3):376-399

Data fused from distinct but complementary satellite sensors mitigate tradeoffs that researchers make when selecting between spatial and temporal resolutions of remotely sensed data. We integrated data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard the Terra satellite and the Operational Land Imager sensor aboard the Landsat 8 satellite into four regression-tree models and applied those data to a mapping application. This application produced downscaled maps that utilize the 30-m spatial resolution of Landsat in conjunction with daily acquisitions of MODIS normalized difference vegetation index (NDVI) that are composited and temporally smoothed. We produced four weekly, atmospherically corrected, and nearly cloud-free, downscaled 30-m synthetic MODIS NDVI predictions (maps) built from these models. Model results were strong with R² values ranging from 0.74 to 0.85. The correlation coefficients (r ≥ 0.89) were strong for all predictions when compared to corresponding original MODIS NDVI data. Downscaled products incorporated into independently developed sagebrush ecosystem models yielded mixed results. The visual quality of the downscaled 30-m synthetic MODIS NDVI predictions were remarkable when compared to the original 250-m MODIS NDVI. These 30-m maps improve knowledge of dynamic rangeland seasonal processes in the central Great Basin, United States, and provide land managers improved resource maps.  相似文献   

Life-cycle cost and sustainability analysis of light-frame wood residential communities exposed to tornados     

Adhikari  Pramodit  Mahmoud  Hussam N.  Ellingwood  Bruce R. 《Natural Hazards》2021,109(1):523-544

Natural Hazards - Tornadoes pose a significant threat to residential communities, causing enormous physical damage and losses to their social fabric. The dominant type of single-family residential...  相似文献   

Assessment of boundary-element method for modelling a free-floating sloped wave energy device. Part 1: Numerical modelling     

Grgory S. Payne  Jamie R.M. Taylor  Tom Bruce  Penny Parkin 《Ocean Engineering》2008,35(3-4):333-341

The boundary-element method has been widely used as a design tool in the offshore and ship building industry for more than 30 years. Its application to wave energy conversion is, however, more recent. This paper deals with the numerical modelling of a free-floating sloped wave energy device. The power take-off mechanism of the device consists of an immersed tube with a piston sliding inside. The modelling is done using the boundary-element method package WAMIT. The model is first worked out for the case where the axis of the tube is vertical. It is then derived for the tube inclined and successfully verified against numerical benchmark data. A companion paper presents results of a detailed comparison with a physical model study.  相似文献   

Assessing New England's waterborne energy imports (1995–2004)     

Bruce E. Marti   《Marine Policy》2008,32(4):740-748

This paper tests four hypotheses relating to the waterborne commerce of New England's imported energy, by port of entry, from 1995 through 2004. It concludes that the region's ports engaged in this fossil fuel traffic are part of a hierarchical system of large, medium, and small ports; that such energy flows have increased over the study period; that localized demand for energy is the principal component leading to growth; and that regional inter-port competition was not stable.  相似文献   

The Mekong: A Socio-legal Approach to River Basin Development     

Bruce Missingham 《The Australian geographer》2019,50(1):129-130

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Geospatial data mining for digital raster mapping     

Bruce K. Wylie  Neal J. Pastick  Joshua J. Picotte  Carol A. Deering 《地理信息系统科学与遥感》2019,56(3):406-429

We performed an in-depth literature survey to identify the most popular data mining approaches that have been applied for raster mapping of ecological parameters through the use of Geographic Information Systems (GIS) and remotely sensed data. Popular data mining approaches included decision trees or “data mining” trees which consist of regression and classification trees, random forests, neural networks, and support vector machines. The advantages of each data mining approach as well as approaches to avoid overfitting are subsequently discussed. We also provide suggestions and examples for the mapping of problematic variables or classes, future or historical projections, and avoidance of model bias. Finally, we address the separate issues of parallel processing, error mapping, and incorporation of “no data” values into modeling processes. Given the improved availability of digital spatial products and remote sensing products, data mining approaches combined with parallel processing potentials should greatly improve the quality and extent of ecological datasets.  相似文献   

The geomorphic setting of upper paleolithic sites in Wadi el Sheikh,Southern Sinai     

Bruce G. Gladfelter 《Geoarchaeology》1990,5(2):99-119

A protracted phase of aggradation without evidence for episodes of cutting and filling occurred in the drainage of Wadi el Sheikh between about 65,000 and 12,000 B.P. Marl sediments in the deposits at the oasis of Tarfat el Quidrein denote freshwater ponds or marshes that attracted Upper Paleolithic, Ahmarian hunter-gatherers. Wetter conditions favoring the formation of the marls are explained by local, geomorphic factors including the orographic influence of nearby mountains. A major phase of down-cutting initiated at the end of the Pleistocene and beginning of the Holocene is the only climatically forced gradational change seen in the geomorphic record.  相似文献   

Breaking wave loads at vertical seawalls and breakwaters     

Giovanni Cuomo  William Allsop  Tom Bruce  Jonathan Pearson 《Coastal Engineering》2010

This paper presents recent advances in knowledge on wave loads, based on experimental work carried out in the CIEM/LIM large flume at Barcelona within the framework of the VOWS (Violent Overtopping by Waves at Seawalls) project. Both quasi-static and impact wave forces from the new data set have been compared with predictions by empirical and analytical methods. The scatter in impact forces has been found to be large over the whole range of measurements, with no existing method giving especially good predictions. Based on general considerations, a simple and intuitive set of prediction formulae has been introduced for quasi-static and impact forces, and overturning moments, giving good agreement with the new measurements. New prediction formulae have been compared with previous measurements from physical model tests at small and large scale, giving satisfactory results over a relatively wide range of test conditions. The time variation of wave impacts is discussed, together with pressure distribution up the wall, which shows that within experimental limitations the measured pressures are within existing limits of previous study.  相似文献   

A Customization of the Arc Marine Data Model to Support Whale Tracking via Satellite Telemetry     

Brett K Lord-Castillo  Bruce R Mate  Dawn J Wright  Tomas Follett 《Transactions in GIS》2009,13(S1):63-83

The Arc Marine data model is a generalized template to guide the implementation of geographic information systems (GIS) projects in the marine environment. It developed out of a collaborative process involving research and industry shareholders in coastal and marine research. This template models and attempts to standardize common ocean and coastal data types to facilitate data sharing and analytical tool development. In this study, Arc Marine is extended from its core model to fit the research goals of the whale satellite-telemetry-tagging program of the Oregon State University Marine Mammal Institute (MMI). The study sought the best customization of the generic Arc Marine data model to enhance the key advantages of satellite telemetry for mapping the distribution and movement of endangered marine mammal species. It was found that three new groups of object classes were needed (Animal, Telemetry, and Operations). Further customization involved the development of a comprehensive framework for animal tracking with Argos satellite telemetry data. A new multidimensional data cube model was also devised, showing how this extension of Arc Marine serves as an appropriate target schema for the application of on-line analytical processing (OLAP) tools and spatial data mining of satellite telemetry tracking datasets.  相似文献   

Statistically downscaled probabilistic multi‐model ensemble projections of precipitation change in a watershed     

Muhammad Z. Hashmi  Asaad Y. Shamseldin  Bruce W. Melville 《水文研究》2013,27(7):1021-1032

This paper presents the development of a probabilistic multi‐model ensemble of statistically downscaled future projections of precipitation of a watershed in New Zealand. Climate change research based on the point estimates of a single model is considered less reliable for decision making, and multiple realizations of a single model or outputs from multiple models are often preferred for such purposes. Similarly, a probabilistic approach is preferable over deterministic point estimates. In the area of statistical downscaling, no single technique is considered a universal solution. This is due to the fact that each of these techniques has some weaknesses, owing to its basic working principles. Moreover, watershed scale precipitation downscaling is quite challenging and is more prone to uncertainty issues than downscaling of other climatological variables. So, multi‐model statistical downscaling studies based on a probabilistic approach are required. In the current paper, results from the three well‐reputed statistical downscaling methods are used to develop a Bayesian weighted multi‐model ensemble. The three members of the downscaling ensemble of this study belong to the following three broad categories of statistical downscaling methods: (1) multiple linear regression, (2) multiple non‐linear regression, and (3) stochastic weather generator. The results obtained in this study show that the new strategy adopted here is promising because of many advantages it offers, e.g. it combines the outputs of multiple statistical downscaling methods, provides probabilistic downscaled climate change projections and enables the quantification of uncertainty in these projections. This will encourage any future attempts for combining the results of multiple statistical downscaling methods. Copyright © 2011 John Wiley & Sons, Ltd.  相似文献