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38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Zhang, Hongping Cheng, Xinwen Zhao, dong Ma, Hairong China Univ Geosci Sch Informat Engn Wuhan 430074 Hubei Peoples R China Wuhan Univ Engn Sci Wuhan 430200 Hubei Peoples R China

ISBN: (纸本)9781538671504

Recent years, most areas of China were attacked by extreme rainstorm. The flood and waterlogging disasters tended to be a grim challenge for most cities in China as a result of impervious surface and "urban heat island" growth. Especially underground network construction is slower than urban expansion causing catchment area collecting water capacity greater than drainage capacity. As more and more high-resolution Remote data (such as "GF-1", "GF-2") provided for basic research, the consecutive and near real-time observation data have been played a great role in flood research. This article found that modified dEM by high resolution of water could increase the availability of dividing catchment based on d8 algorithm in cities with a lot water surface. We chose Nan Lake & Tangxun Lake sub-catchment in Wuhan city to analyze the contribution of water area. We found that dividing catchment with modified dEM could be more effective than the original dEM not only in the certainty of flow direction but also in the shape similarity with official sub-watershed classification version. We also believe that reasonable using data such as road, square, buildings extracted from remote sensing might affect catchment dividing positively.

关键词： GF-1 GF-2 flood and waterlogging disasters catchment d8 algorithm

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debris Run-Out Modeling Without Site-Specific data

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INTERNATIONAL JOURNAL OF AdVANCEd COMPUTER SCIENCE ANd APPLICATIONS 2020年第10期11卷 112-116页

作者： de Silva, N. M. T. Wimalaratne, Prasad Univ Kelaniya Colombo Sri Lanka Univ Colombo Sch Comp Colombo Sri Lanka

Recent population growth and actions near hilly areas increase the vulnerability of occurring landslides. The effects of climate change further increase the likelihood of landslide danger. Therefore, accurate analysis of unstable slope behavior is crucial to prevent loss of life and destruction to property. Predicting landslide flow path is essential in identifying the route of debris, and it is essential necessary component in hazard mapping. However, current methodologies of determining the flow direction of landslides require costly sitespecific data such as surface soil type, categories of underground soil layers, and other related field characteristics. This paper demonstrates an approach to predict the flow direction without site-specific data, taking a large landslide incident in Sri Lanka at Araranyaka region in the district of Kegalle as a case study. Spreading area assessment was based on deterministic eight-node (d8) and Multiple direction Flow (MdF) flow directional algorithms. Results acquired by the model were compared with the real Aranayaka landslide data set and the landslide hazard map of the area. debris paths generated from the proof of concept software tool using the d8 algorithm showed greater than 76% agreement, and MdF showed greater than 87% agreement with the actual flow paths and other related statistics such as maximum width of the slide, run-out distance, and slip surface area.

关键词： Landslide flow path route of debris hazard mapping d8 algorithm multiple direction flow algorithm

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Influence of mobile light detecting and ranging data quality in road runoff evaluation

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JOURNAL OF APPLIEd REMOTE SENSING 2016年第4期10卷 044001-1-044001-10页

作者： Gonzalez-Jorge, Higinio diaz-Vilarino, Lucia Martinez-Sanchez, Joaquin Arias, Pedro Univ Vigo Sch Min Engn Dept Nat Resources & Environm Engn Campus Lagoas S-N Vigo 36310 Spain Univ Salamanca Polytech Sch Engn Dept Cartog & Land Engn Hornos Caleros 05003 Avila Spain

A mobile light detecting and ranging (LidAR) system is used to provide point cloud datasets as a topographic base for runoff studies. The point clouds are rasterized to evaluate road runoff using the d8 algorithm. Gaussian noise is artificially induced in the point cloud to simulate inaccuracies in geopositioning and determine its influence in the evaluation of runoff direction. Accuracy in the determination of flow direction decreases with the increase of Gaussian noise. Accuracy also decreases with the decrease of the cell size of the raster dataset. Flow direction shows inaccuracies up to 47 deg with a cell resolution of 0.5 m and Gaussian noise of 0.15 m (standard deviation). On the other hand, cell resolutions of 5 m show a maximum difference of 15 deg with the same noise. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)

关键词： mobile light detecting and ranging road maintenance runoff remote sensing d8 algorithm

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Assessment of drainage network extractions in a low-relief area of the Cuvelai Basin (Namibia) from multiple sources: LidAR, topographic maps, and digital aerial orthophotographs

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GEOMORPHOLOGY 2016年 260卷 32-50页

作者： Persendt, F. C. Gomez, C. Univ Canterbury Coll Sci Dept Geog Private Bag 4800 Christchurch 8140 New Zealand Univ Namibia Dept Geog & Environm Studies Windhoek Namibia

Accurate delineation of drainage networks (dNs) is crucial for hydrological or hydraulic modelling, and the comprehension of fluvial processes. This task presents challenging aspects in complex lowland terrains with subtle relief and particularly for data poor-areas like the Cuvelai river basin (CRB), Namibia, where the present study takes place. In the CRB standard methods of drainage network extraction from low resolution gridded digital elevation models (dEMs) are unsuitable, hence airborne Light detection and Ranging (LidAR) solutions have been utilized. However, LidAR also presents challenges to large areal applications, especially with a surface roughness exceeding the capacity of numerous algorithms. Indeed, LidAR-based dEMs (2 and 50 m resolutions) need to be hydrologically corrected and smoothed to enable the extraction of scale-relevant geomorphologic features such as dNs. In the present contribution, channels from topographic maps (blue lines) were compared to those from hydrologically corrected and uncorrected LidAR dEMs, heads-up digitized channels from high resolution digital aerial orthophotographs, field-mapped channels and auxiliary data. The 'maximum gradient deterministic eight (d8)' GIS algorithm was applied to the corrected and uncorrected LidAR dEMs using two network extraction methods: area threshold support and curvature/drop analysis. different progressive flow accumulation threshold values (12) were used to delineate channels with these methods. Validation was performed between the field-mapped channels, the modelled channels and those derived from multiple sources. Additionally, spatial and quantitative analyses were performed on geomorphologic parameters and indices. The results have shown that hydrologically corrected LidAR dEMs offer useful details for identifying low order stream segments in headwaters, while blue lines derived from the national hydrography datasets for watersheds, located in elevated and low-lying areas of the study a

关键词： digital elevation model (dEM) drainage network extraction Airborne Light detection and Ranging (LidAR) Low relief area d8 algorithm Cuvelai Basin Namibia

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Influence of dEM resolution on drainage network extraction: A multifractal analysis

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GEOMORPHOLOGY 2015年 241卷 243-254页

作者： Ariza-Villaverde, A. B. Jimenez-Hornero, F. J. Gutierrez de Rave, E. Univ Cordoba Dept Graph Engn & Geomat E-14071 Cordoba Spain

different hydrological algorithms have been developed to automatically extract drainage networks from digital elevation models (dEMs). d8 is the most widely used algorithm to delineate drainage networks and catchments from a dEM. This algorithm has certain advantages such as simplicity, the provision of a reasonable representation for convergent flow conditions and consistency among flow patterns, calculated contributing areas and the spatial representation of subcatchments. However, it has limitations in selecting suitable flow accumulation threshold values to determine the pixels that belong to drainage networks. Although the effects of dEM resolution on some terrain attributes, steam characterisation and watershed delineation have been studied, analyses of the influence of dEM resolution on flow accumulation threshold values have been limited. Recently, multifractal analyses have been successfully used to find appropriate flow accumulation threshold values. The application of this type of analysis to evaluate the relationship between dEM resolution and flow accumulation threshold value needs to be explored. Therefore, this study tested three dEM resolutions for four drainage basins with different levels of drainage network distribution by comparing the Renyi spectra of the drainage networks that were obtained with the d8 algorithm against those determined by photogrammetric restitution. According to the results, dEM resolution influences the selected flow accumulation threshold value and the simulated network morphology. The suitable flow accumulation threshold value increases as the dEM resolution increases and shows greater variability for basins with lower drainage densities. The links between dEM resolution and terrain attributes were also examined. (C) 2015 Elsevier B.V. All rights reserved.

关键词： drainage network geometry dEM resolution d8 algorithm Multifractal analysis Flow accumulation threshold Terrain attributes

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Web Service for extracting stream networks from dEM data

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GEOJOURNAL 2014年第2期79卷 183-193页

作者： Luo, Wei Li, Xiaoyan Molloy, Ian di, Liping Stepinski, Tomasz Northern Illinois Univ Dept Geog Deklab IL 60115 USA George Mason Univ CSISS Greenbelt MD 20770 USA IBM TJ Watson Res Ctr Yorktown Height NY 10598 USA Univ Cincinnati Space Informat Lab Dept Geog Cincinnati OH 45221 USA

This paper describes the implementation of a morphology based algorithm for extracting stream networks from data as a Web Service within the framework of GeoBrain, an open, interoperable, distributed, standard-compliant, multi-tier web-based geospatial information services and knowledge building system. Unlike standard out-of-the-box GIS software, which uses the flow direction based algorithm and often produces streams that are spatially uniform, streams extracted with this Web Service correctly reflect spatial variability in dissection patterns. In addition, this Web Service is free and can be accessed from anywhere provided that there is an Internet connection and a standard Web browser.

关键词： Web Service dEM Stream networks d8 algorithm Morphology based algorithm Tangential curvature GeoBrain

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Geometric road runoff estimation from laser mobile mapping data

Geometric road runoff estimation from laser mobile mapping d...

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ISPRS Technical Commission V Symposium 2014

作者： Wang, Jinhu González-Jorge, Higinio Lindenbergh, Roderik Arias-Sánchez, Pedro Menenti, Massimo Dept. of Geoscience and Remote Sensing Delft University of Technology Building 23 Stevinweg 1 Post Box 5048 Delft2628CN Netherlands Dept. of Natural Resources and Environmental Engineering School of Mining Engineering University of Vigo VigoE-36310 Spain Key Laboratory of Quantitative Remote Sensing Information Technology Academy of Opto-Electronics Chinese Academy of Sciences No. 9 Deng Zhuang South Road HaiDian District Beijing100094 China

Mountain roads are the lifelines of remote areas but are often situated in complicated settings and prone to landslides, rock fall, avalanches and damages due to surface water runoff. The impact and likelihood of these types of hazards can be partly assessed by a detailed geometric analysis of the road environment. Field measurements in remote areas are expensive however. A possible solution is the use of a Laser Mobile Mapping System (LMMS) which, at high measuring rate, captures dense and accurate point clouds. This paper presents an automatic approach for the delineation of both the direct environment of a road and the road itself into local catchments starting from a LMMS point cloud. The results enable a user to assess where on the road most water from the surroundings will assemble, and how water will flow over the road after e.g. heavy snow melt or rainfall. To arrive at these results the following steps are performed. First outliers are removed and point cloud data is gridded at a uniform width. Local surface normal and gradient of each grid point are determined. The relative smoothness of the road is used as a criterion to identify the road's outlines. The local gradients are input for running the so-called d8 method, which simply exploits that surface water follows the direction of steepest descent. This method first enables the identification of sinks on the roadside, i.e. the locations where water flow accumulates and potentially enters the road. Moreover, the method divides the road's direct neighbourhood into catchments, each consisting of all grid cells having runoff to the same sink. In addition the method is used to analyse the surface flow over the road's surface. The new method is demonstrated on a piece of 153 meters long Galician mountain road as sampled by LMMS data.

关键词： Catchments d8 algorithm Mobile Laser Scanning Point Cloud data Road Engineering Road runoff

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Simulating Hydrologic Effects of Raised Roads within a Low-Relief Watershed

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JOURNAL OF HYdROLOGIC ENGINEERING 2011年第7期16卷 585-597页

作者： Wang, Xixi Liu, Tingxi Yang, dawen Qu, Zhongyi Clary, Calvin R. Wunneburger, Carin Tarleton State Univ Hydrol & Watershed Management Program Dept Engn & Phys Stephenville TX 76402 USA Inner Mongolia Agr Univ Coll Hydrol & Civil Engn Hohhot 010018 Inner Mongolia Peoples R China Tsinghua Univ Coll Hydraul & Civil Engn Beijing 100084 Peoples R China

Raised roads and their appurtenances (i.e., ditches and culverts) can considerably modify the natural hydrologic processes (e.g., flow direction and runoff spatial distribution) of low-relief watersheds. However, these effects are not well understood and are poorly documented in literature. Also, there is a serious lack of effective approach that can be used to describe these effects in common simulation models, including the Soil and Water Assessment Tool (SWAT). As a result, these effects have been rarely taken into account by the existing model applications. The results from those applications are likely to be misleading for watershed management decisions. The objectives of this study were to (1) develop an approach that enables the incorporation of the aforementioned effects into hydrologic models (e.g., SWAT), and (2) evaluate whether and how a model's simulation performance can be improved by taking these effects into account. The evaluation was conducted for the low-relief Wild Rice River watershed located in northwestern Minnesota by comparing the SWAT-NoRoad model, which is based on a "conventional flow direction map" derived using the deterministic eight-neighbor (d8) algorithm, with the SWAT-Road model, which is based on a "corrected flow direction map" generated by using the approach developed in this study. The corrected map provided more realistic flow directions for the regions adjacent to the raised roads than the conventional map. Compared with the SWAT-NoRoad model, the SWAT-Road model had a compatible performance for a calibration period but was more robust and did a better job in reproducing the observed streamflows for a validation period at two U.S. Geological Survey gauging stations, as indicated by the larger values for Nash-Sutcliffe (E-j(2)> 0.60) and determination (R-2 > 0.68) coefficients, as well as from the watershed perspective view, as indicated by the larger values for performance virtue (PVk > 0.64). In addition, the spatial pattern

关键词： Culvert d8 algorithm drainage ditch Flow direction Microtopography SWAT

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Parallel drainage network computation on CUdA

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COMPUTERS & GEOSCIENCES 2010年第2期36卷 171-178页

作者： Ortega, L. Rueda, A. Univ Jaen Dept Informat Jaen 23071 Spain

drainage networks determination from digital elevation models (dEM) has been a widely studied problem in the last three decades. during this time, satellite technology has been improving and optimizing digitalized images, and computers have been increasing their capabilities to manage such a huge quantity of information. The rapid growth of CPU power and memory size has concentrated the discussion of dEM algorithms on the accuracy of their results more than their running times. However, obtaining improved running times remains crucial when dEM dimensions and their resolutions increase. Parallel computation provides an opportunity to reduce run times. Recently developed graphics processing units (GPUs) are computationally fast not only in Computer Graphics but in General Purpose Computation, the so-called GPGPU. In this paper we explore the parallel characteristics of these GPUs for drainage network determination, using the C-oriented language of CUdA developed by NVIdIA. The results are simple algorithms that run on low-cost technology with a high performance response, obtaining CPU improvements of up to 8x. (C) 2009 Elsevier Ltd. All rights reserved.

关键词： GPU GPGPU CUdA drainage network d8 algorithm

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Uncertainty of Flow Accumulation Threshold Influence in Hydrology Modeling-A Case Study in Qinling Mountain SRTM3 dEM based

Uncertainty of Flow Accumulation Threshold Influence in Hydr...

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International Workshop on Education Technology and Training/International Workshop on Geoscience and Remote Sensing (ETT and GRS 2008)

作者： Luo Mingliang Tang Guoan dong Youfu China West Normal Univ Land & Resource Sch Nanchong Sichuan Peoples R China Nanjing Normal Univ Nanjing Jiangsu Peoples R China Nanjing Univ Technol Coll Civil Engn Nanjing Jiangsu Peoples R China

ISBN: (纸本)9780769535630

Hydrology modeling based on dEMs pays an important role in regional planning, agriculture, forestry and other related fields. In the hydrology modeling, flow accumulation threshold is a critical factor which influences the structure and morphology of stream network. With GeoInformatics tools, such as ArcGIS, it can be explored that what uncertainty influence of flow accumulation threshold on critical contributing area and stream order number. And the materials used in this work are SRTM3 dEMs with 85m resolution or so, and the areas locate in Qinling Mountain. The result shows that threshold is linear interdependence with critical contributing area, and the stream order does not show enough stability when threshold changing. All the result means that the uncertainty of flow accumulation threshold influence in hydrology modeling should be attached more attention, and the choice of threshold should be more cautious and objective.

关键词： Hydrology modeling Flow accumulation threshold Critical contributing area Stream order number d8 algorithm

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