scholarly journals Classification of mountain geosystems of the Primorskii range (Priolkhonie) and their mapping

2021 ◽  
Vol 27 (3) ◽  
pp. 375-386
Author(s):  
Sergey Sedykh ◽  
Irina Bilichenko
Keyword(s):  
Spatial Data ◽  
Large Scale ◽  
Local Level ◽  
Remote Sensing Data ◽  
Field Research ◽  
Geochemical Type ◽  
High Mountain ◽  
Western Border ◽  
Dynamic Series

The western border of the Central Ecological Zone of Baikal runs along the watershed of the Primorskii range in physical and geographical terms, this ridge borders the west of the Baikal mountain-mountain taiga and basin province of the Baikal-Dzhugdzhur physical-geographical region. On the southeastern macroslope of the Primorskii ridge and the Priolkhon plateau, the effects of “rain shadow” and arid-hollow, contrasts of high-mountain and foothill effects are strongly pronounced. Since 2015 to 2016, the influence of the pyrogenic factor has significantly increased. More than 20 fires were recorded in the central part of the ridge alone. On the Priolkhon plateau, this is supplemented by an increasing anthropogenic influence every year. The classification of the geosystems of the Primorskii range and their mapping based on the regional typological approach is the main goal of this study. The main tasks were: analysis of the regional background, identification of the main factors of differentiation, classification of facies and their groups of the study area, mapping of geosystems at the topological level (scales 1:50,000 and 1:100,000). To accomplish the tasks, integrated field research has been carried out since 2012, a database has been formed, including the initial basic cartographic data, remote sensing data, bases of descriptions and observations. The results of the research are: determination of criteria and data source for contours at different levels of cartographic representation, the sizes of areal sections are specified. Also compiled: basic landscape-typological maps and derived estimates. geosystems of the local level. A detailed assessment legend was formed (based on the georelational table of field descriptions and spatial data) with various characteristics of local topogeosystems, including seriality, geochemical type and subtype of facies, deviation from the background norm (factor-dynamic series). A variant of the estimated large-scale mapping is presented on a polygon with an area of 50 km2, where 95 areal contours related to 54 types of facies are identified, with an average area of 3.7 hectares.The complexity and diversity of local situations is analyzed, the affiliation of local geosystems with structures of regional dimension is established.

scholarly journals EXPERIENCE IN DETAILED LANDSCAPE MAPPING OF THE BLACK SEA ABRASION COAST AT THE NORTH-WESTERN CAUCASUS

2021 ◽  
Vol 7 (17) (2) ◽  
pp. 108-116
Author(s):  
A.M. Aleynikova ◽  
A.P. Andreeva ◽  
O.N. Lipka ◽  
M.V. Krylenko
Keyword(s):  
Black Sea ◽  
Large Scale ◽  
Remote Sensing Data ◽  
Field Research ◽  
The Black Sea ◽  
Western Caucasus ◽  
Coastal Mapping ◽  
The North ◽  
Landscape Unit ◽  
North Western

The landscape units of the Black Sea coast of the North-Western Caucasus have complex and dynamic structures. Mapping of such systems is possible only on a large scale, by superimposing remote sensing data on field research materials. The detailed landscape maps of the marine abrasive coasts of this region were produced for the first time. The landscape structure includes identified hierarchic units: stows, substows, narrow stretched belts, and land facies. A substow was selected as the main unit of analysis for the coastal mapping. The landscape unit map exposes the activity of slope processes and the potential danger areas in the coastal zone.

scholarly journals DEVELOPMENT OF GEODATABASE FOR ARCHAEOLOGICAL SITE IN BUJANG VALLEY KEDAH

2019 ◽  
Vol XLII-4/W16 ◽  
pp. 409-415
Author(s):  
N. U. Mohd Aminuddin ◽  
Z. Majid ◽  
N. Ahmad Fuad ◽  
A. Aspuri ◽  
M. F. Mohd Salleh ◽  
...  
Keyword(s):  
Spatial Data ◽  
Laser Scanning ◽  
Large Scale ◽  
3D Visualization ◽  
Field Research ◽  
Archaeological Site ◽  
Geographical Information ◽  
Actual Structure ◽  
Cloud Data ◽  
Over Time

Abstract. In recent years, there has been little adoption of geospatial technology applications towards the archaeological excavation project in Malaysia which yields increasing amount of data on historical assets. Those data however been processed and managed via conventional method of paper form- based and less associated spatial data which is actually can be necessary to improve the finding method of potential archaeological sites. This paper presents the application of Geographical Information System (GIS) towards the archaeology data management by adopting geodatabase for storing archaeology information and visualizing the archaeological monuments via method of 3D Terrestrial Laser Scanning (TLS). The research area is located within the Bujang Valley Archaeological Museum, Merbok, Kedah which known to locate most of the ancient relics that being preserved over time. The TLS method is used to scan the interior and exterior structures of the monuments due to its capability in representing 3D visualization digitally from point cloud data and close to the accuracy of the actual structure. In addition, the geodatabase can provide the organization a better medium to create large-scale databases for organizing, analyzing and sharing the products of the field research with other users. The GIS capability to capture, integrate, store, edit, analyze and display geospatial data can really help the effort in preserving the archaeological information from lost over time.

Vegetation map of the National Park “Belovezhskaya Pushcha”: creation and practical use experience

2019 ◽  
pp. 18-38 ◽  
Author(s):  
D. G. Grummo ◽  
R. V. Tsvirko ◽  
N. A. Zeliankevich ◽  
E. Y. Kulikova ◽  
O. V. Sozinov
Keyword(s):  
Plant Communities ◽  
National Park ◽  
Large Scale ◽  
Remote Sensing Data ◽  
Field Studies ◽  
Vegetation Map ◽  
Floristic Classification ◽  
Disturbed Forest ◽  
Classification Of Images

In 2013–2018 studies of phytocoenotic diversity were carried out in the territory of the National Park “Belovezhskaya Pushcha” (Belarus). As a result, a classification scheme of vegetation was developed based on the floristic approach (Braun-Blanquet method) and a large-scale (1 : 100 000) geobotanical map was made. The map is compiled on the basis of the field data, analysis of remote sensing data, literary and cartographic sources, land and forest inventory materials. The compilation of this geobotanical map was consisted of 4 stages. 1) The pre-field (cameral) stage included: collection of archive data about the investigated territory, selection of space imagery, primary processing of digital images and data visualization, interpretation, automatic non-controlled classification, preliminary map compilation. 2) Field studies provided for surface interpretation of vegetation based on satellite imagery.In total, 1851 complete geobotanical relevés were made during field studies, including 743 forest, 452 mire, 576 meadow, segetal and ruderal plant communities. 3) The post-field (cameral) stage, including the preparation of the cartographic base; the systematization of field materials; the development of the final legend; the systematization of image standards for creating cartographic models; the controlled classification of images with preliminary segmentation by the method of superpixels (SNIC-Simple Non-Iterative Clustering); assessment reliability of classification results; geometric and geographical generalization; making an original map. 4) Field check (verification) of geobotanical map. During the 2018 field season a vegetation map of the protected area was checked with the compilation of the final reliability protocol. The main unit of the map legend, a syntaxon of the floristic classification of vegetation, is the association, however, along with the association, to display the typology of the vegetation cover, syntaxons of as a higher hierarchical rank (union) and lower (options, facies), as well as rankless communities are used. In establishing the names of associations and subassociations and in comparative analysis various regional works were taken into account (Matuszkiewicz, Matuszkiewicz, 1954; Czerwiński, 1978; Faliński, 1991, 1994а, b; Kwiatkowski, 1994; Bulokhov, Solomeshch, 2003; Semenischenkov, 2014; Lądowe ekosystemy…, 2016; Dubyna et al., 2019;). In the legend, the mapped units reflecting the restoration stages of the association are marked with letter indices. Heterogeneous areas consisting of regularly and repeatedly alternating plant communities are presented on the map as complexes (phytocoenoses-complex). In total, the map legend contains 75 mapped vegetation units, including forest — 40, shrub — 4, mire — 13, meadow and wasteland — 11, ruderal and segetal vegetation — 6, deforestation and disturbed forest habitats — 1. Separate units reflect other lands (water, residential development, etc.) The practical application of the geobotanical map for identifying key (important for biodiversity conservation) habitats and developing a science-based approach to the functional zoning of protected areas is shown.

scholarly journals K-Prototypes Segmentation Analysis on Large-Scale Ridesourcing Trip Data

2020 ◽  
Vol 2674 (9) ◽  
pp. 383-394 ◽  
Author(s):  
Jason Soria ◽  
Ying Chen ◽  
Amanda Stathopoulos
Keyword(s):  
Spatial Data ◽  
Large Scale ◽  
Weather Conditions ◽  
Data Types ◽  
Adverse Weather Conditions ◽  
Segmentation Analysis ◽  
Adverse Weather ◽  
Mobility System ◽  
Spatio Temporal

Shared mobility-on-demand services are expanding rapidly in cities around the world. As a prominent example, app-based ridesourcing is becoming an integral part of many urban transportation ecosystems. Despite the centrality, limited public availability of detailed temporal and spatial data on ridesourcing trips has limited research on how new services interact with traditional mobility options and how they affect travel in cities. Improving data-sharing agreements are opening unprecedented opportunities for research in this area. This study examined emerging patterns of mobility using recently released City of Chicago public ridesourcing data. The detailed spatio-temporal ridesourcing data were matched with weather, transit, and taxi data to gain a deeper understanding of ridesourcing’s role in Chicago’s mobility system. The goal was to investigate the systematic variations in patronage of ridehailing. K-prototypes was utilized to detect user segments owing to its ability to accept mixed variable data types. An extension of the K-means algorithm, its output was a classification of the data into several clusters called prototypes. Six ridesourcing prototypes were identified and discussed based on significant differences in relation to adverse weather conditions, competition with alternative modes, location and timing of use, and tendency for ridesplitting. The paper discusses the implications of the identified clusters related to affordability, equity, and competition with transit.

scholarly journals Creating large-scale maps for agriculture using remote sensing

2021 ◽  
Vol 227 ◽  
pp. 03002
Author(s):  
Gayrat Yakubov ◽  
Khamid Mubarakov ◽  
Ilkhomjon Abdullaev ◽  
Azizjon Ruziyev
Keyword(s):  
Remote Sensing ◽  
Large Scale ◽  
Agricultural Land ◽  
Remote Sensing Data ◽  
Land Resources ◽  
Agricultural Lands ◽  
Very High Spatial Resolution ◽  
Very High ◽  
Real State

Reliable information on the real state of agricultural lands will be required to the development of appropriate measures for the rational use of agricultural lands. To obtain such information, it is necessary to keep permanent and systematic records and inventories of land resources. Large-scale special plans and maps will be required for accounting, inventory and classification of agricultural land. Currently in Uzbekistan such cartographic materials are being created on the scale 1: 10 000 and 1: 25 000 by administrative and territorial units, farms or individual land plots. The article considers the issues of creation of special maps of agricultural land in scale 1:10000 on the example of Sharof Rashidov district of Jizzakh region using remote sensing data with very high spatial resolution KOMPSAT-3.

scholarly journals An Adaptive System for Home Monitoring Using a Multiagent Classification of Patterns

2008 ◽  
Vol 2008 ◽  
pp. 1-8 ◽  
Author(s):  
Ali Rammal ◽  
Sylvie Trouilhet ◽  
Nicolas Singer ◽  
Jean-Marie Pécatte
Keyword(s):  
Software Architecture ◽  
Elderly People ◽  
Large Scale ◽  
Adaptive System ◽  
Local Level ◽  
Home Monitoring ◽  
Know How ◽  
Physiological Information ◽  
Personal Level

This research takes place in the project which proposes software architecture to monitor elderly people in their own homes. We want to build patterns dynamically from data about activity, movements, and physiological information of the monitored people. To achieve that, we propose a multiagent method of classification: every agent has a simple know-how of classification. Data generated at this local level are communicated and adjusted between agents to obtain a set of patterns. The patterns are used at a personal level, for example to raise an alert, but also to evaluate global risks (epidemic, heat wave). These data are dynamic; the system has to maintain the built patterns and has to create new patterns. So, the system is adaptive and can be spread on a large scale.

scholarly journals DEWORMING DELUSIONS? MASS DRUG ADMINISTRATION IN EAST AFRICAN SCHOOLS

2016 ◽  
Vol 48 (S1) ◽  
pp. S116-S147 ◽  
Author(s):  
Tim Allen ◽  
Melissa Parker
Keyword(s):  
Drug Administration ◽  
Mass Drug Administration ◽  
Large Scale ◽  
Local Level ◽  
Field Research ◽  
World Health ◽  
Parasitic Infections ◽  
Curative Therapy ◽  
School Based ◽  
The World

SummaryRecent debates about deworming school-aged children in East Africa have been described as the ‘Worm Wars’. The stakes are high. Deworming has become one of the top priorities in the fight against infectious diseases. Staff at the World Health Organization, the Gates Foundation and the World Bank (among other institutions) have endorsed the approach, and school-based treatments are a key component of large-scale mass drug administration programmes. Drawing on field research in Uganda and Tanzania, and engaging with both biological and social evidence, this article shows that assertions about the effects of school-based deworming are over-optimistic. The results of a much-cited study on deworming Kenyan school children, which has been used to promote the intervention, are flawed, and a systematic review of randomized controlled trials demonstrates that deworming is unlikely to improve overall public health. Also, confusions arise by applying the term deworming to a variety of very different helminth infections and to different treatment regimes, while local-level research in schools reveals that drug coverage usually falls below target levels. In most places where data exist, infection levels remain disappointingly high. Without indefinite free deworming, any declines in endemicity are likely to be reversed. Moreover, there are social problems arising from mass drug administration that have generally been ignored. Notably, there are serious ethical and practical issues arising from the widespread practice of giving tablets to children without actively consulting parents. There is no doubt that curative therapy for children infected with debilitating parasitic infections is appropriate, but overly positive evaluations of indiscriminate deworming are counter-productive.

Alpine vegetation of the Ivanovskiy, Prokhodnoy and Rossypnoy Ridges (Western Altai)

2015 ◽  
pp. 96-124
Author(s):  
E. G. Zibzeev ◽  
T. A. Nedovesova
Keyword(s):  
Plant Communities ◽  
Wide Spectrum ◽  
Climate Forcing ◽  
High Mountain ◽  
Air Mass ◽  
Rich Diversity ◽  
Mountain Systems ◽  
Mountain Vegetation ◽  
Coenotic Diversity

The mountain systems are characterized by diverse ecological conditions (climate, geomorphological, soil, etc.). The wide spectrum of environmental conditions entails a rich diversity of plant communities growing on the small territory and determines the different flora and vegetation geneses. The uniqueness of floristic and coenotic diversities of the high-mountain vegetation of the south of Western Altai (Ivanovskiy, Prokhodnoi, and Rossypnoi Ranges) are associated with the effect of two climate-forcing factors such as the westerly humid air mass and dry warm airflow from the inner Kazakhstan regions. The paper summarizes the data on coenotic diversity (Zibzeev, 2010, 2012) and gives a syntaxonomic analysis of the high-mountain vege­tation in the Ivanovskii, Prokhodnoi, and Rossypnoi Ranges (Western Altai, Kazakhstan). The classification of plant communities was carried out using the Braun-Blanquet approach (Westhoff, van der Maarel, 1973). The relevés records were stored in the TURBOVEG database and classified by ­TWINSPAN (Hill 1979).

Classification of woody-shrub vegetation of the forest-steppe complex of Privolzhskaya Upland

2009 ◽  
pp. 27-53
Author(s):  
A. Yu. Kudryavtsev
Keyword(s):  
Plant Community ◽  
Plant Communities ◽  
Dominant Species ◽  
Large Scale ◽  
Nature Reserve ◽  
Vegetation Mapping ◽  
Vegetation Classification ◽  
Forest Steppe ◽  
Mapping Data

Diversity of plant communities in the nature reserve “Privolzhskaya Forest-Steppe”, Ostrovtsovsky area, is analyzed on the basis of the large-scale vegetation mapping data from 2000. The plant community classi­fication based on the Russian ecologic-phytocoenotic approach is carried out. 12 plant formations and 21 associations are distinguished according to dominant species and a combination of ecologic-phytocoenotic groups of species. A list of vegetation classification units as well as the characteristics of theshrub and woody communities are given in this paper.

Classification of vegetation in Cucphuong National Park with the aim of large-scale mapping, Vietnam

1996 ◽  
pp. 64-67 ◽  
Author(s):  
Nguen Nghia Thin ◽  
Nguen Ba Thu ◽  
Tran Van Thuy
Keyword(s):  
National Park ◽  
Large Scale ◽  
Satellite Images ◽  
Field Work ◽  
Aerial Photographs ◽  
Vegetation Map ◽  
Dense Forest ◽  
Broad Leaved Forest ◽  
Leaved Forest

The tropical seasonal rainy evergreen broad-leaved forest vegetation of the Cucphoung National Park has been classified and the distribution of plant communities has been shown on the map using the relations of vegetation to geology, geomorphology and pedology. The method of vegetation mapping includes: 1) the identifying of vegetation types in the remote-sensed materials (aerial photographs and satellite images); 2) field work to compile the interpretation keys and to characterize all the communities of a study area; 3) compilation of the final vegetation map using the combined information. In the classification presented a number of different level vegetation units have been identified: formation classes (3), formation sub-classes (3), formation groups (3), formations (4), subformations (10) and communities (19). Communities have been taken as mapping units. So in the vegetation map of the National Park 19 vegetation categories has been shown altogether, among them 13 are natural primary communities, and 6 are the secondary, anthropogenic ones. The secondary succession goes through 3 main stages: grassland herbaceous xerophytic vegetation, xerophytic scrub, dense forest.

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