Introduction

Preparata, Franco P.; Shamos, Michael Ian

doi:10.1007/978-1-4612-1098-6_1

Cited by 170 publications

(185 citation statements)

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“…The first and simplest 282 approach was to use the weather-station data and interpolate the rainfall records based on a 283 2D Delaunay triangulation-based interpolation method, which weights the area-of-influence 284 associated to each weather station and performed well in previous studies with sparse data 285 locations [Preparata and Shamos, 1985]. In our second approach we used a daily satellite-286 derived rainfall record, based on the TRMM product 3B42 (version 7), which has a spatial 287 resolution of 0.25° x 0.25° (~30 km x 30 km) and a temporal resolution of 3 hours.…”

Section: Rainfall 280mentioning

confidence: 99%

Differentiating between rain, snow, and glacier contributions to river discharge in the western Himalaya using remote-sensing data and distributed hydrological modeling

Wulf

Bookhagen

Scherler

2016

Advances in Water Resources

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2016): Differentiating between rain, snow, and glacier contributions to river discharge in the western Himalaya using remote-sensing data and distributed hydrological modeling. change, the relative contributions of rainfall, snow and glacier melt to discharge are not well 26 understood, due to the scarcity of ground-based data in this complex terrain. Here, we 27 quantify discharge sources in the Sutlej Valley, western Himalaya, from 2000 to 2012 with a 28 distributed hydrological model that is based on daily, ground-calibrated remote-sensing 29 observation. Based on the consistently good model performance, we analyzed the 30 spatiotemporal distribution of hydrologic components and quantified their contribution to 31 river discharge. Our results indicate that the Sutlej River's annual discharge at the mountain 32 front is sourced to 55% by effective rainfall (rainfall reduced by evapotranspiration), 35% by 33 snow melt and 10% by glacier melt. In the high-elevation orogenic interior glacial runoff 34 contributes ~30% to annual river discharge. These glacier melt contributions are especially 35 important during years with substantially reduced rainfall and snowmelt runoff, as during 36 2004, to compensate for low river discharge and ensure sustained water supply and 37 hydropower generation. In 2004, discharge of the Sutlej River totaled only half the maximum 38 annual discharge; with 17.3% being sourced by glacier melt. Our findings underscore the 39 importance of calibrating remote-sensing data with ground-based data to constrain 40 hydrological models with reasonable accuracy. For instance, we found that TRMM (Tropical 41 Rainfall Measuring Mission) product 3B42 V7 systematically overestimates rainfall in arid 42 regions of our study area by a factor of up to 5. By quantifying the spatiotemporal distribution 43 of water resources we provide an important assessment of the potential impact of global 44 warming on river discharge in the western Himalaya. Given the near-global coverage of the 45 utilized remote-sensing datasets this hydrological modeling approach can be readily 46 transferred to other data-sparse regions. 47 3

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Section: Rainfall 280mentioning

confidence: 99%

Differentiating between rain, snow, and glacier contributions to river discharge in the western Himalaya using remote-sensing data and distributed hydrological modeling

Wulf

Bookhagen

Scherler

2016

Advances in Water Resources

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“…The scene volume is similarly modeled as intersection of negative half-space. Thus, the exact SVF inside the scene can be computed solving a simple vertex enumeration problem, for which very efficient algorithms exists in literature [11].…”

Section: Subjective View Frustummentioning

confidence: 99%

Towards a Subject-Centered Analysis for Automated Video Surveillance

Farenzena

Bazzani

Murino

et al. 2009

Image Analysis and Processing – ICIAP 2009

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Abstract. In a typical video surveillance framework, a single camera or a set of cameras monitor a scene in which human activities are carried out. In this paper, we propose a complementary framework where human activities can be analyzed under a subjective point of view. The idea is to represent the focus of attention of a person in the form of a 3D view frustum, and to insert it in a 3D representation of the scene. This leads to novel inferences and reasoning on the scene and the people acting in it. As a particular application of this proposed framework, we collect the information from the subjective view frusta in an Interest Map, i.e. a map that gathers in an effective and intuitive way which parts of the scene are observed more often in a defined time interval. The experimental results on standard benchmark data witness the goodness of the proposed framework, encouraging further efforts for the development of novel applications in the same direction.

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“…After the processing of a multiple range query, we must determine which objects correspond to specific range queries. This operation is CPU-bound and can be performed using computational geometry [12] techniques in order to find the queries that a specific object geometry satisfies.…”

Section: The Extended Linear Algorithm (Algorithm Exl)mentioning

confidence: 99%

Multiple range query optimization in spatial databases

Papadopoulos

Manolopoulos

1998

Advances in Databases and Information Systems

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Abstract. In order to answer efficiently range queries in 2-d R-trees, first we sort queries by means of a space filling curve, then we group them together, and finally pass them for processing. Initially, we consider grouping of pairs of requests only, and give two algorithms with exponential and linear complexity. Then, we generalize the linear method, grouping more than two requests per group. We evaluate these methods under different LRU buffer sizes, measuring the cache misses per query. We present experimental results based on real and synthetic data. The results show that careful query scheduling can improve substantially the overall performance of multiple range query processing.

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Introduction

Cited by 170 publications

References 0 publications

Differentiating between rain, snow, and glacier contributions to river discharge in the western Himalaya using remote-sensing data and distributed hydrological modeling

Differentiating between rain, snow, and glacier contributions to river discharge in the western Himalaya using remote-sensing data and distributed hydrological modeling

Towards a Subject-Centered Analysis for Automated Video Surveillance

Multiple range query optimization in spatial databases

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