Strahler Order Classification and Analysis of Drainage Network by Satellite Image Processing

Khatun, Ferdousi; Sharma, Pratikshya

doi:10.1007/978-981-10-7901-6_98

Cited by 1 publication

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“…Strahler's coding system reflects on the size and morphological features of substreams and is useful for highlighting the dendritic features of a river network. Khatun et al (2018) classified streams using the Strahler system and utilized this coding system in combination with remote sensing images to analyze the river networks of a certain region. Stanislawski et al (2011) used the Strahler coding system as a criterion to identify the importance of reach during stream generalization and selection.…”

Section: Introductionmentioning

confidence: 99%

An Automated Bottom Up Hydrologic Coding System for Dendritic River System

Dai

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The hydrologic coding of a dendritic river system can be used to indicate the stream order and spatial-structure features of a river system. However, most conventional hydrologic coding systems use a top down (i.e., from the source to the estuary) approach, which does not accurately reflect the hierarchies of a dendritic river system. Based on Gravelius’ definition of stream order, we have proposed an automated bottom up (i.e., traced from the estuary to the source) coding system for dendritic river systems. Firstly, directed topology trees are constructed to organize the data of a river network, followed by the calculation of stroke connections to construct river entities and identify the main stem. Secondly, the river system is then progressively coded from the estuary up to the source according to the definition of stream order in our system. Finally, actual topographic map data of a river system in some regions of Hubei Province are used to comparatively validate our hydrologic coding system against Horton’s coding system. The experimental results demonstrate that our coding system is very effective in highlighting hierarchies formed by catchment relationships. Our method is also found to be suitable for the selection of streams in topologically shallow dendritic river systems with uniformly distributed tributaries.

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Section: Introductionmentioning

confidence: 99%

An Automated Bottom Up Hydrologic Coding System for Dendritic River System

Dai

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

Strahler Order Classification and Analysis of Drainage Network by Satellite Image Processing

Cited by 1 publication

References 3 publications

An Automated Bottom Up Hydrologic Coding System for Dendritic River System

An Automated Bottom Up Hydrologic Coding System for Dendritic River System

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