Automatic Association of Stream Order for Vector Hydrograph using Spiral Traversal Technique

Pradhan, Mohan P.

doi:10.9790/0661-0150912

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…This work formed the foundation for the RivEX software [34], which has been used to perform drainage network analysis operations on stream vector layers over large geographical extents [35]. More recently, Pradhan and Ghose [36] developed a spiral traversal technique for performing drainage network analysis on vector hydrography data.…”

Section: Introductionmentioning

confidence: 99%

Drainage Network Analysis and Structuring of Topologically Noisy Vector Stream Data

Lindsay

Yang

Hornby

2019

IJGI

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Drainage network analysis includes several operations that quantify the topological organization of stream networks. Network analysis operations are frequently performed on streams that are derived from digital elevation models (DEMs). While these methods are suited to application with fine-resolution DEM data, this is not the case for coarse DEMs or low-relief landscapes. In these cases, network analysis that is based on mapped vector streams is an alternative. This study presents a novel vector drainage network analysis technique for performing stream ordering, basin tagging, the identification of main stems and tributaries, and the calculation of total upstream channel length and distance to outlet. The algorithm uses a method for automatically identifying outlet nodes and for determining the upstream-downstream connections among links within vector stream networks while using the priority-flood method. The new algorithm was applied to test stream datasets in two Canadian study areas. The tests demonstrated that the new algorithm could efficiently process large hydrographic layers containing a variety of topological errors. The approach handled topological errors in the hydrography data that have challenged previous methods, including disjoint links, conjoined channels, and heterogeneity in the digitized direction of links. The method can provide a suitable alternative to DEM-based approaches to drainage network analysis, particularly in applications where stream burning would otherwise be necessary.

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Section: Introductionmentioning

confidence: 99%

Drainage Network Analysis and Structuring of Topologically Noisy Vector Stream Data

Lindsay

Yang

Hornby

2019

IJGI

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“…To minimize the time required for determining segments an efficient and effective spiral navigation technique is used [2]. In order to store the indentified segments of variable length an efficient 2D data structure (jazzed array) is used to store the detail that optimally utilizes memory space.…”

Section: Introductionmentioning

confidence: 99%

Automatic Association of Strahler’s Order and Attributes with the Drainage System

Pradhan¹,

Ghose²,

Kharka³

2012

IJACSA

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Abstract-A typical drainage pattern is an arrangement of river segment in a drainage basin and has several contributing identifiable features such as leaf segments, intermediate segments and bifurcations. In studies related to morphological assessment of drainage pattern for estimating channel capacity, length, bifurcation ratio and contribution of segments to the main stream, association of order with the identified segment and creation of attribute repository plays a pivotal role. Strahler's (1952) proposed an ordering technique that categories the identified stream segments into different classes based on their significance and contribution to the drainage pattern. This work aims at implementation of procedures that efficiently associates order with the identified segments and creates a repository that stores the attributes and estimates of different segments automatically. Implementation of such techniques not only reduces both time and effort as compared to that of manual procedures, it also improves the confidence and reliability of the results.

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Automatic Strahler’s Stream Order Computing on Digital Stream Network Dataset

Ghorai¹,

Bhunia²,

Shit³

2022

Geography of the Physical Environment

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Automatic Association of Stream Order for Vector Hydrograph using Spiral Traversal Technique

Cited by 4 publications

References 5 publications

Drainage Network Analysis and Structuring of Topologically Noisy Vector Stream Data

Drainage Network Analysis and Structuring of Topologically Noisy Vector Stream Data

Automatic Association of Strahler’s Order and Attributes with the Drainage System

Automatic Strahler’s Stream Order Computing on Digital Stream Network Dataset

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