Comprehensive Assessment of the Geoecological Situation of Mining Areas (on the Example of Solikam Urban District)

The methods for the complex assessment of the geoenviromental situation in a mining region based on the integration of open data from the ROSREESTR (The Federal Service For State Registration, Cadastre And Cartography), the ROSPRIRODNADZOR (Federal Service for Supervision of Natural Resources), Google Earth, scientific publications and other sources, in particular, related to the analysis of neotectonic and geodynamic problems in the region are considered. The conclusions are made as a result of the analysis of the geoenviromental situation on the example of the Solikamsk urban district and the recommendations are proposed: a land management program and the formation of geoecological data in the Unified State Register of Real Estate quarters (polluted, degraded and disturbed lands) - as an information basis for the regional model of spatial planning of mining regions.

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The Decision of the General Meeting of Members in a Non-Public Business Company: Concept and Types

Pravosudie / Justice ◽

10.37399/issn2686-9241.2020.2.148-169 ◽

2020 ◽

Vol 2 (2) ◽

pp. 148-169

Author(s):

V. K. Andreev ◽

◽

V. A. Kondratiev ◽

Keyword(s):

Civil Rights ◽

General Meeting ◽

Business Community ◽

Positive Law ◽

State Register ◽

Business Results ◽

Starting Point ◽

Business Entities ◽

State Registration ◽

A Company

Introduction. The article examines the features of holding general meetings of members in non-public business companies, in particular questions about the place of decisions of general meeting in the system of legal facts, their relationship with the deal and the contract. The ability to use digital technology in decision making. Theoretical Basis. Methods. The article is based on an analysis of the norms of positive law, primarily the Civil Code and the Laws on Company Business. Results. The authors conclude that the starting point in the activities of a non-public business company is the acquisition and exercise of their civil rights and the fulfilment of duties, and not a legal relationship that includes civil rights and civil duties as a necessary element. In addition, the decision of a general meeting, despite having many features in common, is not a deal. The decision of a general meeting, acting as an act of individual regulation, is in fact an act of a legal entity, and not a decision of the business community. The authors proposed a classification of decisions of meetings of business entities, depending on the method of their adoption, the possibilities being: the unanimously adoption by all participants of the company; decisions of the meeting of members of a company being adopted by a majority, or a qualified majority, of votes; decisions of the meeting of members of a company to change its charter, reorganization and liquidation of the company, requiring state registration in the unified state register of legal entities. The decision of a general meeting can be made either in person or in absentia, or a combination of the two. The decision of the meeting adopted in absentia will be valid, despite the absence of any special document establishing the procedure for its adoption. Discussion and Conclusion. Decisions of general meetings are actions of participants in a business company concerning legal consequences, including civil rights and obligations, in cases specified by law, and binding on all persons entitled to participate in the meeting, as well as other persons, whether required by law or having some other involvement.

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Just Transition as a Tool for Preventing Energy Poverty among Women in Mining Areas—A Case Study of the Silesia Region, Poland

Energies ◽

10.3390/en14123372 ◽

2021 ◽

Vol 14 (12) ◽

pp. 3372

Author(s):

Olga Janikowska ◽

Joanna Kulczycka

Keyword(s):

Age Groups ◽

Single Women ◽

Coal Industry ◽

Major Conclusion ◽

Energy Transformation ◽

Energy Poverty ◽

Mining Areas ◽

Transition Strategy ◽

Mining Regions

The inevitable energy transformation can be perceived as an opportunity and as a threat to the actions undertaken to prevent energy poverty in European mining regions. Silesia is a special exemplification of the European region whose economy has been based on coal industry for centuries. There are still about 70,000 miners and coal is also widely used for heating households. Based on developed map of jobs lost in mining and related industry and the demographic and social data the proposal of activities addressed to different group of people has been created. It was also indicated that energy poverty in Poland mainly concerns households inhabited by single women. Therefore, the major conclusion of the paper is postulated that the Just Transition strategy should be extended by issues strictly related to the situation of women in the future labor market. Additionally, the concept of a special hub for women, whose aim would be professional activation of women of various age groups, has been introduced.

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Geotourist Potential Of Post-Mining Regions In Poland

Bulletin of Geography Physical Geography Series ◽

10.2478/bgeo-2014-0007 ◽

2014 ◽

Vol 7 (1) ◽

pp. 139-156 ◽

Cited By ~ 6

Author(s):

Jerzy Nita ◽

Urszula Myga-Piątek

Keyword(s):

Natural Resource ◽

Global Economy ◽

Mining Sites ◽

Mining Areas ◽

Actual Use ◽

Current Article ◽

Aesthetic Values ◽

Mining Regions

Abstract The current article will attempt to confirm that Polish post-mining areas are characterized by high cognitive and aesthetic values and that they have great geotourism potential, which has been little used so far. Tourism is regarded to be one of the most dynamically growing sectors of the global economy and is a phenomenon that occurs in the landscapes of all ecological and altitudinal zones. Geotourism is among the relatively recent types of tourism. Poland is a highly attractive country for geotourism. The aim of this article is to analyze the distribution and size of post-mining areas in Poland and, based on these analyses, to assess the geotourist potential of selected post-mining regions. Based on the distribution of natural resource mining sites and their potential and actual use in geotourism, the authors selected 20 actual and potential geotourist regions in Poland. These regions were divided into three basic categories based on their attractiveness.

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Monitoring Mining Disturbance and Restoration over RBM Site in South Africa Using LandTrendr Algorithm and Landsat Data

Sustainability ◽

10.3390/su11246916 ◽

2019 ◽

Vol 11 (24) ◽

pp. 6916 ◽

Cited By ~ 7

Author(s):

Lubanzi Z. D. Dlamini ◽

Sifiso Xulu

Keyword(s):

Negative Impact ◽

Google Earth ◽

Remotely Sensed Data ◽

Mining Areas ◽

Surface Mines ◽

Automated Method ◽

Observation Strategy ◽

Petroleum Resources ◽

The Status ◽

Disturbance And Recovery

Considering the negative impact of mining on ecosystems in mining areas, the South African government legislated the Mineral and Petroleum Resources Development Act (No. 28 of 2002), to compel mining companies to restore the land affected by mining. Several studies have used remotely sensed data to observe the status and dynamics of surface mines. Advances in remote sensing along the cloud-based Google Earth Engine (GEE) now promise an enhanced observation strategy for improved monitoring of mine environments. Despite these advances, land rehabilitation at Richards Bay Minerals (RBM) is mainly restricted to field-based approaches which are unable to reveal seamless patterns of disturbance and restoration. Here, we illustrate the value of the trajectory-based LandTrendr algorithm in conjunction with GEE for mine rehabilitation studies. Our automated method produced disturbance and recovery patterns (1984–2018) over the RBM site. The study revealed that RBM has progressively been mining different portions of the mineral-rich coastal area after which restoration was undertaken. The duration of mining over each site ranged from 2 to 6 years. The LandTrendr outputs correspond with independent reference datasets that were classified with an overall accuracy of 99%; it captures mine-induced disturbance efficiently and offers a practical tool for mine restoration management.

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Landsat Images Classification Algorithm (LICA) to Automatically Extract Land Cover Information in Google Earth Engine Environment

Remote Sensing ◽

10.3390/rs12071201 ◽

2020 ◽

Vol 12 (7) ◽

pp. 1201 ◽

Cited By ~ 3

Author(s):

Alessandra Capolupo ◽

Cristina Monterisi ◽

Eufemia Tarantino

Keyword(s):

Big Data ◽

Land Cover ◽

Open Data ◽

Google Earth ◽

Classification Algorithm ◽

Specific Class ◽

Landsat Images ◽

Sparse Vegetation ◽

Main Technique ◽

Google Earth Engine

Remote sensing has been recognized as the main technique to extract land cover/land use (LC/LU) data, required to address many environmental issues. Therefore, over the years, many approaches have been introduced and explored to optimize the resultant classification maps. Particularly, index-based methods have highlighted its efficiency and effectiveness in detecting LC/LU in a multitemporal and multisensors analysis perspective. Nevertheless, the developed indices are suitable to extract a specific class but not to completely classify the whole area. In this study, a new Landsat Images Classification Algorithm (LICA) is proposed to automatically detect land cover (LC) information using satellite open data provided by different Landsat missions in order to perform a multitemporal and multisensors analysis. All the steps of the proposed method were implemented within Google Earth Engine (GEE) to automatize the procedure, manage geospatial big data, and quickly extract land cover information. The algorithm was tested on the experimental site of Siponto, a historic municipality located in Apulia Region (Southern Italy) using 12 radiometrically and atmospherically corrected satellite images collected from Landsat archive (four images, one for each season, were selected from Landsat 5, 7, and 8, respectively). Those images were initially used to assess the performance of 82 traditional spectral indices. Since their classification accuracy and the number of identified LC categories were not satisfying, an analysis of the different spectral signatures existing in the study area was also performed, generating a new algorithm based on the sequential application of two new indices (SwirTirRed (STRed) index and SwiRed index). The former was based on the integration of shortwave infrared (SWIR), thermal infrared (TIR), and red bands, whereas the latter featured a combination of SWIR and red bands. The performance of LICA was preferable to those of conventional indices both in terms of accuracy and extracted classes number (water, dense and sparse vegetation, mining areas, built-up areas versus water, and dense and sparse vegetation). GEE platform allowed us to go beyond desktop system limitations, reducing acquisition and processing times for geospatial big data.

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Improving Open Science Using Linked Open Data: CONICET Digital Use Case

Journal of Computer Science and Technology ◽

10.24215/16666038.19.e05 ◽

2019 ◽

Vol 19 (01) ◽

pp. e05

Author(s):

Marcos daniel Zarate ◽

Carlos Buckle ◽

Renato Mazzanti ◽

Gustavo Samec

Keyword(s):

Semantic Web ◽

Linked Data ◽

Open Data ◽

Scientific Publication ◽

Open Science ◽

Linked Open Data ◽

Scientific Publications ◽

Semantic Web Technologies ◽

Web Standards ◽

Methodological Guidelines

Scientific publication services are changing drastically, researchers demand intelligent search services to discover and relate scientific publications. Publishersneed to incorporate semantic information to better organize their digital assets and make publications more discoverable. In this paper, we present the on-going work to publish a subset of scientific publications of CONICET Digital as Linked Open Data. The objective of this work is to improve the recovery andreuse of data through Semantic Web technologies and Linked Data in the domain of scientific publications.To achieve these goals, Semantic Web standards and reference RDF schema’s have been taken into account (Dublin Core, FOAF, VoID, etc.). The conversion and publication process is guided by the methodological guidelines for publishing government linked data. We also outline how these data can be linked to other datasets DBLP, WIKIDATA and DBPEDIA on the web of data. Finally, we show some examples of queries that answer questions that initially CONICET Digital does not allow

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IdRef, Paprika and Qualinka. A toolbox for authority data quality and interoperability

ABI-Technik ◽

10.1515/abitech-2020-2006 ◽

2020 ◽

Vol 40 (2) ◽

pp. 158-168

Author(s):

Aline Le Provost ◽

Yann Nicolas

Keyword(s):

Data Quality ◽

Reference Data ◽

Open Data ◽

Quality Standards ◽

High Quality ◽

Scientific Publications ◽

The Core

AbstractAuthority data has always been at the core of library catalogues. Today, authority data is reference data on a wider scale. The former authorities of the “Sudoc” union catalogue mutated into “IdRef”, a read/write platform of open data and services which seeks to become a national supplier of reliable identifiers for French universities. To support their dissemination and comply with high quality standards, Paprika and Qualinka have been added to our toolbox, to expedite the massive and secure linking of scientific publications to IdRef authorities.

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CURRENT PROBLEMS IN THE MANAGEMENT OF THE UNIFORM STATE REGISTRY OF REAL ESTATE

Interexpo GEO-Siberia ◽

10.33764/2618-981x-2019-7-269-275 ◽

2019 ◽

Vol 7 ◽

pp. 269-275

Author(s):

Polina Rybalko ◽

Natalia Mitrofanova

Keyword(s):

Real Estate ◽

State Register ◽

Uniform State ◽

State Registration

This article lists the current problems of maintaining the Unified State Register of Real Estate, as well as state cadastral registration and state registration of rights. Considered ways to solve actual problems. Attention is focused on cadastral and registry errors, the reasons for their occurrence, classification and corrections in the information of the Unified State Register of Real Estate.

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Technology of three-dimensional laser scanning of real estate objects (3D modeling) in cadastral activities

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/937/4/042071 ◽

2021 ◽

Vol 937 (4) ◽

pp. 042071

Author(s):

K V Tikhonova ◽

Yu S Solovyova ◽

V S Geydor ◽

D A Tikhonov

Keyword(s):

Real Estate ◽

3D Modeling ◽

Laser Scanning ◽

Three Dimensional ◽

Laser Scanner ◽

Labor Costs ◽

Real Property ◽

State Register ◽

Three Dimensional Representation ◽

State Registration

Abstract Laser scanning in cadastral activities is a tool for obtaining information about real estate objects in a 3D format. The purpose of the research is to obtain information that is necessary for state cadastral registration and state registration of rights, land supervision and local government oversight. Deductive, inductive, analytical, comparative-legal and other scientific methods were used for the most complete coverage of the problem. The article considers the procedure of laser scanning, shooting modes when using laser scanning and the process of a real estate object 3D model creation. The methods of scanning were studied, namely: terrestrial, airborne and mobile. The greatest attention is paid to the advantages and features of using laser scanning technologies for real property. The results of the study showed that the laser scanner can be used not only in geodesy for engineering surveys, 3D modeling of quarries, when obtaining data on the volume of rock, during mining, assessing the situation in an emergency, but it can also be used in cadastral and complex cadastral works. The main attribute of laser scanning is a three-dimensional representation of data about the object, which can be immediately used, but the high accuracy and low labor costs are no less important. Therefore, three-dimensional laser scanning technologies can be used both in the creation of models of cities, and the unified cartographic basis of the Unified State Register of Real Estate, as well as in valuation activities during the taxation of buildings and structures.

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