ROZTOCHIA LANDFORM MORPHOTYPES

PROBLEMS OF GEOMORPHOLOGY AND PALEOGEOGRAPHY OF THE UKRANIAN CARPATHIANS AND ADJACENT AREAS ◽

10.30970/gpc.2019.2.3063 ◽

2020 ◽

pp. 52-72

Keyword(s):

Semantic Analysis ◽

Slope Position ◽

Pixel Size ◽

Slope Gradient ◽

Morphological Classification ◽

Morphometric Measurements ◽

Topographic Position Index ◽

Position Index ◽

English Speaking

The issues of relief morphotype classification have not been solved yet, as there are no clear criteria for their selection. The article proposes to use semantic-oriented morphometric relief analysis for relief classifying. The algorithm of its implementation is as follows: 1) reasonable classificating taxonomic relief units; 2) defining their semantic names; 3) evaluating and selecting the morphometric descriptors of identified morphotypes. The study is based on the results of field landscape observations in the Ukrainian part of The Roztochia, which were accompanied by instrumental morphometric measurements and landscapes panoramic photographing. For morphometric analysis of The Roztochia, the digital relief model (DEM) of SRTM 30 version 2.1 with pixel size (60x60 m) has been used, for its Ukrainian part the authors have built DEM on the basis of synthesized horizontals of topographic maps of scale 1:10000 and 1: 25000, laying of horizontals 1 m and 5 m, pixel size (15x15 m). By means of ArcGis 10.0 software package, the following models have been created: slope gradient, horizontal dismemberment, vertical dismemberment (relative elevation), aspect, elevation levels, thalwegs, watersheds, Landform Classificaton, Slope Position Classificaton, Topographic Position Index. The analysis of these models made it possible to select identification descriptors for selecting meso-relief units, i.e. area (according to R. Dikau (1990)), relative elevation, mean slope, compactness. It has been established that the meso-relief gradation of subcategory “B” in The Roztochia differs slightly in area from the “standard” one after R. Dicau and is in range of 105–108 m2. This proves that the morphometric descriptors of the morphological classification of the relief units need to be determined according to the features of the region separately for plains, heighlands and mountains. The semantic analysis made it possible to give names to the selected units of meso-relief. The main names of relief units, used in Polish and Ukrainian literature have been analyzed, and their English-speaking counterparts have been found. The map of The Ukrainian Roztochia meso-relief has been created. The following meso-relief units are distinguished: high-gradient hill, medium-gradient hill, lawe gradient hill, knoll, ridge, escarpment, longitudinal depression, upper plain, lower plain, basin, valley. Nearly 70% of the region is occupied with hill. Keywords: landform morphotype; mesorelief; Roztochia; semantics.

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THE METAPHOR LONDON-AS-THE-WORLD AS A KEY METAPHOR IN THE STRUCTURE OF THE LONDON TEXT OF ENGLISH LINGUISTIC CULTURE

RSUH/RGGU Bulletin. "Literary Theory. Linguistics. Cultural Studies" Series ◽

10.28995/2686-7249-2020-9-202-216 ◽

2020 ◽

pp. 202-216

Author(s):

Aleksei V. Sosnin ◽

◽

Yuliya V. Balakina ◽

Keyword(s):

Semantic Analysis ◽

Deep Structure ◽

Literary Canon ◽

Semiotic Analysis ◽

Linguistic Expression ◽

The World ◽

English Speaking ◽

The Universe ◽

Civilized World

The article examines the metaphor London-as-the-World in the structure of the London text of English linguistic culture (i.e., an emic or invariant text for a group of texts related to the British capital). Such an analysis makes it possible to update the most important dimension of the London text: its objects turns out to be a key component of Englishness, being conceptualized as a model of all-English and world processes, as an analogy of the civilized world and the universe. The metaphorical realizations of the London text are seen as the result of conceptual fusion. The research cited in the article is carried out at the junction of the cognitive and semiotic approaches, according to which socially significant mental entities are examined via a semantic analysis of corresponding supertexts. The integration of the cognitive and the semiotic is effected within the framework of unified semantics. Thereby a semiotic analysis of text consists in singling out propositions of diverse degrees of similarity in it, in the selection and classification of predicates with which characters and “things” are endowed in the text, and in the inclusion of individual entities from the text in the general categories, what reveals the picture of the world deep structure from the standpoint of that text. The article draws on the literary canon of New English, and a study into that material educes a continuity in the metaphors and the means of their linguistic expression that were used by the English-speaking community to structure the reality. The article thus postulates the relative stability of London text as a supertextual entity.

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Landforms Classification Of Wadi Al-Mujib Basin In Jordan, Based On Topographic Position Index (TPI), And The Production Of A Flood Forecasting Map.

10.35516/0103-046-003-004 ◽

2019 ◽

pp. 44

Author(s):

يسرى عبدالكريم الحسبان

Keyword(s):

Flood Forecasting ◽

Topographic Position ◽

Topographic Position Index ◽

Position Index

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Multiscale Landforms Classification Based on UAV Datasets

Sustainability in Environment ◽

10.22158/se.v3n2p128 ◽

2018 ◽

Vol 3 (2) ◽

pp. 128

Author(s):

Jean A. Doumit

Keyword(s):

Unmanned Aerial Vehicles ◽

High Spatial Resolution ◽

Topographic Position Index ◽

Topographic Slope ◽

Morphometric Features ◽

Surface Models ◽

Very High Spatial Resolution ◽

Position Index ◽

Very High

The advance uses of Unmanned Aerial Vehicles (UAV) in geosciences by producing very high spatial resolution Digital Surface Models (DSMs), the various UAV flight altitudes led to different scales DSM. In this paper, we analyzed terrain forms using Topographic Position Index (TPI), landforms extracted by Iwahashi and Pike method and morphometric features of three different spatial resolutions DSM processed from different UAV flights height datasets of the same study area.Topographic Position Index (TPI) is an algorithm for measuring topographic slope positions and to automate landform classi?cations, Iwahashi and Pike had developed an unsupervised method for classification of Landforms and we have used the techniques developed by Peuker and Douglas, a method classifying terrain surfaces into 7 classes.Landforms extracted from the three indices listed above at the three flight heights of 120, 240 and 360 meters and compared with each other to understand the generalization of different scale and to highlight which landforms are more affected by the scale changes.

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Satellite–Derived Topography and Morphometry for VHR Coastal Habitat Mapping: The Pleiades–1 Tri–Stereo Enhancement

Remote Sensing ◽

10.3390/rs14010219 ◽

2022 ◽

Vol 14 (1) ◽

pp. 219

Author(s):

Dorothée James ◽

Antoine Collin ◽

Antoine Mury ◽

Rongjun Qin

Keyword(s):

Control Point ◽

Habitat Mapping ◽

Slope Aspect ◽

Coastal Habitat ◽

Topographic Position Index ◽

Landform Classification ◽

Surface Models ◽

Position Index ◽

The Impact

The evolution of the coastal fringe is closely linked to the impact of climate change, specifically increases in sea level and storm intensity. The anthropic pressure that is inflicted on these fragile environments strengthens the risk. Therefore, numerous research projects look into the possibility of monitoring and understanding the coastal environment in order to better identify its dynamics and adaptation to the major changes that are currently taking place in the landscape. This new study aims to improve the habitat mapping/classification at Very High Resolution (VHR) using Pleiades–1–derived topography, its morphometric by–products, and Pleiades–1–derived imageries. A tri–stereo dataset was acquired and processed by image pairing to obtain nine digital surface models (DSM) that were 0.50 m pixel size using the free software RSP (RPC Stereo Processor) and that were calibrated and validated with the 2018–LiDAR dataset that was available for the study area: the Emerald Coast in Brittany (France). Four morphometric predictors that were derived from the best of the nine generated DSMs were calculated via a freely available software (SAGA GIS): slope, aspect, topographic position index (TPI), and TPI–based landform classification (TPILC). A maximum likelihood classification of the area was calculated using nine classes: the salt marsh, dune, rock, urban, field, forest, beach, road, and seawater classes. With an RMSE of 4 m, the DSM#2–3_1 (from images #2 and #3 with one ground control point) outperformed the other DSMs. The classification results that were computed from the DSM#2–3_1 demonstrate the importance of the contribution of the morphometric predictors that were added to the reference Red–Green–Blue (RGB, 76.37% in overall accuracy, OA). The best combination of TPILC that was added to the RGB + DSM provided a gain of 13% in the OA, reaching 89.37%. These findings will help scientists and managers who are tasked with coastal risks at VHR.

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Adaptive Management and Sustainable Development: The Relationship of Concepts in the Context of Enterprise Management in Conditions of Uncertainty

Business Inform ◽

10.32983/2222-4459-2021-3-179-187 ◽

2021 ◽

Vol 3 (518) ◽

pp. 179-187

Author(s):

H. V. Zhosan ◽

Keyword(s):

Sustainable Development ◽

Morphological Analysis ◽

Semantic Analysis ◽

Enterprise Management ◽

Enterprise Development ◽

Morphological Classification ◽

Development Analysis ◽

Relationship Of ◽

The Relationship

The objectives of the article are: study of the definitions of concepts of «adaptation»/«adaptability» and «sustainability»/«development»; analysis of these concepts; allocation of the keywords that disclose the essence of the concepts of «adaptation»/«adaptability» and «sustainability»/«development»; establishing a connection between them in the context of enterprise management in conditions of uncertainty. For a clearer understanding of the essence of the concepts of «adaptation»/«adaptability» and «sustainability»/«development», the author used the method of morphological analysis and carried out a morphological classification of these concepts. It is determined that when defining the concept of «adaptability», scholars use such keywords as property, reaction, ability, characteristics and condition, the process of adaptation to changes. The concept of «adaptability», in fact, equates (up to complete identifying) to the concept of «adaptation». Regarding the concepts of «sustainability»/«development», it is determined that the sustainability of enterprise development is ensured on the basis of taking into account the influence of the external environment and improving management within the enterprise in order to increase the efficiency of its activities and continuous development. For each enterprise, it is important not only to maintain resilience, but also to strive for a state of sustainable development. In order to establish a relationship between concepts, the concept map method was used, which was constructed using concepts, keywords to them and definitions within keyword data. It is established that the keywords of all four categories are interrelated. To determine the most commonly used words in the context of these concepts, the author used semantic analysis and the «frequency cloud» of words. The obtained results confirm both the carried out analysis of concepts and the defined keywords for categories of «adaptation»/«adaptability» and «sustainability»/«development».

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CLINICAL AND MORPHOLOGICAL CLASSIFICATION OF ACUTE PANCREATITIS AND ITS COMPLICATIONS

University proceedings Volga region Medical sciences ◽

10.21685/2072-3032-2016-4-12 ◽

2016 ◽

Author(s):

S. N. Bogdanov ◽

◽

S. Ju. Babaev ◽

A. V. Strazhnov ◽

A. B. Stroganov ◽

...

Keyword(s):

Acute Pancreatitis ◽

Morphological Classification

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CNN architecture comparison for radio galaxy classification

Monthly Notices of the Royal Astronomical Society ◽

10.1093/mnras/stab325 ◽

2021 ◽

Vol 503 (2) ◽

pp. 1828-1846

Author(s):

Burger Becker ◽

Mattia Vaccari ◽

Matthew Prescott ◽

Trienko Grobler

Keyword(s):

Comparative Study ◽

Galaxy Evolution ◽

Radio Galaxy ◽

Recognition Performance ◽

Model Complexity ◽

Great Promise ◽

Radio Sources ◽

Morphological Classification ◽

Computational Performance

ABSTRACT The morphological classification of radio sources is important to gain a full understanding of galaxy evolution processes and their relation with local environmental properties. Furthermore, the complex nature of the problem, its appeal for citizen scientists, and the large data rates generated by existing and upcoming radio telescopes combine to make the morphological classification of radio sources an ideal test case for the application of machine learning techniques. One approach that has shown great promise recently is convolutional neural networks (CNNs). Literature, however, lacks two major things when it comes to CNNs and radio galaxy morphological classification. First, a proper analysis of whether overfitting occurs when training CNNs to perform radio galaxy morphological classification using a small curated training set is needed. Secondly, a good comparative study regarding the practical applicability of the CNN architectures in literature is required. Both of these shortcomings are addressed in this paper. Multiple performance metrics are used for the latter comparative study, such as inference time, model complexity, computational complexity, and mean per class accuracy. As part of this study, we also investigate the effect that receptive field, stride length, and coverage have on recognition performance. For the sake of completeness, we also investigate the recognition performance gains that we can obtain by employing classification ensembles. A ranking system based upon recognition and computational performance is proposed. MCRGNet, Radio Galaxy Zoo, and ConvXpress (novel classifier) are the architectures that best balance computational requirements with recognition performance.

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