Automatic drainage pattern recognition in river networks

Ling, Zhenhao; Guilbert, Éric

doi:10.1080/13658816.2013.802794

Cited by 31 publications

(22 citation statements)

References 33 publications

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“…For example, the predicate "α is acute" will return a value equal or close to 1 if the angle α is small, and a value equal or close to 0 when α is large. Each pattern is characterized by a combination of predicates defined by IF-THEN rules: [14] showed that the method can classify drainages correctly with a few that remain unclassified. From their research, the classification is also robust as an alteration of MF parameters has a limited impact on the result.…”

Section: Catchment Elongation (δ)mentioning

confidence: 99%

“…They relate to the junction angle between streams, the shape of tributaries and the networks. Zhang and Guilbert [14] use four different indicators to characterize the four drainage patterns presented in Figure 1: the average junction angle (α), the bent tributaries percentage (β), the average length ratio (γ) and the catchment elongation (δ) ( Table 1). …”

Section: Indicator Description Illustrationmentioning

confidence: 99%

“…Extending recent works by Zhang and Guilbert [14], who presented an automatic classification technique, this paper proposes a method that estimates whether a drainage pattern is preserved or not during its generalization. The method applies to river networks defined by a hierarchical structure in vector mode and can identify patterns shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

“…The method applies to river networks defined by a hierarchical structure in vector mode and can identify patterns shown in Figure 1. In their work, the authors of [14] identified the drainage pattern by a fuzzy logic approach which allows for a compromise between different criteria depending on the membership values. Therefore, the method can be applied to evaluate the performances of stream selection techniques in preserving patterns, and is used to measure the quality of a generalized network by assessing if its geographic meaning is emphasized, preserved or even lost.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of River Network Generalization Methods for Preserving the Drainage Pattern

Ling

Guilbert

2016

IJGI

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Abstract:The drainage pattern of a river network is the arrangement in which a stream erodes the channels of its network of tributaries. It can reflect the geographical characteristics of a river network to a certain extent because it depends on the topography and geology of the land and as such should be considered during the river network generalization process. There are many methods for river network generalization in tributary selection but most do not explicitly consider the network pattern. Validation of the generalized result is performed visually by an expert and may not be done systematically. An automatic validation technique may help to better understand the results obtained with each method and check whether the pattern has been preserved. This paper proposes an approach to evaluate the quality of a generalized river network by assessing how well its original drainage pattern is preserved. The membership to a drainage pattern is evaluated by a set of geometric indicators, making use of a fuzzy logic approach which allows for a compromise between different criteria depending on the membership values. Three tributary selection methods are tested in this work: selection by stroke and length, catchment area, and a manually generalized network. Assessing the quality of a generalization is done by comparing pattern memberships before and after generalization. This research provides a quantitative indicator to assess the generalized river network in preserving geographical information.

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Section: Catchment Elongation (δ)mentioning

confidence: 99%

Section: Indicator Description Illustrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation of River Network Generalization Methods for Preserving the Drainage Pattern

Ling

Guilbert

2016

IJGI

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“…In the evaluation presented below, we extend the topography analysis routines of previous investigators [37]- [39] to evaluate the feasibility of differentiating between geologic units and the extent to which the degree of fracture density can be interpreted from an integrated analysis of topographic parameters and drainage patterns. Figure 1 illustrates the differences between the drainage pattern for "soft" rock (alluvium) and "hard" Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Geomorphometrics for Terrain Characterization

Coblentz¹,

Pabian²,

Prasad³

2014

IJG

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The relationship between geology and landforms has long been established with quantitative analysis dating back more than 100 years. The surface expression of various subsurface lithologies motivates our effort to develop an automated terrain classification algorithm based solely on topographic information. The nexus of several factors has recently provided the opportunity to advance our understanding of the relationship between topography and geology within a rigorous quantitative framework, including recent advances in the field of geomorphometrics (the science of quantitative land surface analysis), the availability of very high resolution (sub meter) digital elevation models, and increasing sophisticated geomorphology and image analysis techniques. In the present study, the geological and geomorphological units in an exemplar study area located in Western U.S. (southern Nevada) have been delineated through an evaluation of a high resolution (1-meter and 0.25-meter) digital elevation model. The morphological aspects of these features obtained from DEMs generated from different sources are compared. Our analysis demonstrates that a 1-meter DEM can provide a terrain characterization that can differentiate underlying lithological types and a very high resolution DEM (0.25 meter) can be used to evaluate fracture patterns.

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Preliminary assessment of river ecosystem services in the volcanic area of Mount Merapi, Indonesia

Sunardi,

Dede,

Wibowo

et al. 2024

Aquat Ecol

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River ecosystem services (RES) are vulnerable to landscape changes mainly by volcanic eruptions. Therefore, this study aims to assess RES in the volcanic area which was affected by the major and minor eruptions of Mount Merapi, Indonesia. The RES referred to the regulating and supporting services of the Krasak River in Jogjakarta. The research involved collecting water and biodiversity samples from two distinct Merapi’s hazard zones (KRB I and KRB II) along the river. Parameters related to regulating services, such as particulate, organic, and nutrient purification, biological control, as well as supporting services like primary productivity, were quantified. We conducted an analysis to understand how landscape conditions interacted with these parameters and employed the t-test to assess differences in RES between the two KRBs. Our findings revealed that the Krasak River exhibited a range of values, including 2.40–5.95 mg/l for Biological Oxygen Demand (BOD), 0.61–3.41 mg/l for nitrate, 0.02–0.11 mg/l for phosphate, 160–60,000 MPN/100 ml for coliform, and 156.3–937 µg/l for chlorophyll-A. These values demonstrated the river’s capacity to perform both regulation and support services. However, certain segments showed variations in ecosystem services, possibly due to the presence of autochthonous matter from aquatic organisms and decomposing organic matters. This showed that volcanic eruption and landscape are closely linked with the water quality and aquatic biodiversity, which affect the ecosystem services.

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Automatic drainage pattern recognition in river networks

Cited by 31 publications

References 33 publications

Evaluation of River Network Generalization Methods for Preserving the Drainage Pattern

Evaluation of River Network Generalization Methods for Preserving the Drainage Pattern

Quantitative Geomorphometrics for Terrain Characterization

Preliminary assessment of river ecosystem services in the volcanic area of Mount Merapi, Indonesia

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