scholarly journals INFORMATION TECHNOLOGIES FOR MONITORING THE ENVIRONMENTAL CONSEQUENCES OF AMBER PRODUCTION IN UKRAINE

2018 ◽  
pp. 107-117
Author(s):  
H. Ya. Krasovskyi ◽  
V. O. Shumeiko ◽  
T. O. Klochko ◽  
N. I. Sementsova
Keyword(s):  
Remote Sensing ◽  
Information Technologies ◽  
Production Management ◽  
Ecological Impacts ◽  
Open Pit ◽  
Environmental Damage ◽  
Earth Remote Sensing ◽  
Geoinformation Systems ◽  
Groundwater Levels ◽  
Environmental Consequences

Among the environmental consequences of the illegal production of amber, the experts single out the degradation of zonal soils and underlying bed rocks, destruction of fertile humus and eluvial horizons of podzolic soils, root systems of trees, swamp formation, change in groundwater levels, destruction of forest resources, and change in the migration processes of the region’s fauna. The most serious ecological and economic problems are caused by the unauthorized production of amber in Rivne, Volyn and Zhytomyr oblasts, where the illegal production of amber is carried out by open-pit and hydromechanical methods. The main tasks set forth in the article are: to analyze the places and conditions of amber production, to define its influence on the environment components, to identify the objects of natural resources use by means of Earth remote sensing methods. The article deals with the development of modern information technology for identifying the places and consequences of amber production in the western regions of Polissia based on the methods of satellite environmental monitoring and tools of geoinformation systems. The production technologies and the manifestation of their ecological impacts are described. The environmental impact assessment of amber production is not possible without defining the potential operational risks, identifying the locations and extent of environmental damage. Due to local peculiarities of amber production management, it is rather difficult to fix the topographic and geodetic parameters of the manifestations of these effects, which complicates the planning of prevention and elimination measures. The methods of Earth remote sensing (ERS) from space and geoinformation systems (GIS) can define these parameters with high accuracy, reliability and efficiency, which will enable the efficient monitoring of the environmental components degradation.

scholarly journals Application of digital technologies in the study of water erosion of soils in Western Siberia

2019 ◽  
Vol 49 (4) ◽  
pp. 86-100
Author(s):  
D. A. Savelieva ◽  
V. K. Kalichkin
Keyword(s):  
Remote Sensing ◽  
Information Technologies ◽  
Western Siberia ◽  
Soil Cover ◽  
Temporal Dynamics ◽  
Full Range ◽  
Digital Technologies ◽  
Water Erosion ◽  
West Siberian Plain ◽  
Earth Remote Sensing

The analysis of the study of water erosion of soils on the territory of the West Siberian Plain using geo-information technologies (GIS) and Earth remote sensing was carried out. It is shown that GIS and Earth remote sensing are not widely used in erosion studies in Western Siberia and are used by a limited number of modern researchers. However, the use of digital technologies in this area is characterized by the coverage of almost the full range of their capabilities and functions: digital mapping, the formation of spatially-distributed thematic databases, monitoring, space-time analysis, modeling, automated mapping. The bulk of such research is concentrated mainly within the Novosibirsk and Omsk regions, in the Altai Territory, and to a lesser extent in the Tomsk and Kemerovo regions. Digital technologies for studying water erosion in Western Siberia are more often used to study the dependence of water erosion on its determining factors (mainly topography), the effect of water erosion on soils and soil cover, in morphometric analysis of the relief, land classifi cation and mapping. The problem of remote monitoring of the temporal dynamics of water erosion and related changes in topography, soil cover, soil properties, etc. is practically not dealt with. The issues of geoinformational modeling of water erosion in terms of elaboration of detail and scale, and coverage of a larger number of areas require further development. When modeling water erosion, the nature of surface runoff is not always taken into account. The approach to the selection of criteria for the assessment of erosional land at different scales of their mapping is not entirely clear. It remains an open question to develop a methodology for the automated calculation of standards for permissible erosional losses of soil. In general, the use of Earth remote sensing and GIS facilities in the study of water erosion in the soils of Western Siberia is not systematic and comprehensive. This is confi rmed by the presence of a number of problems in the study of water erosion in the given area, which requires a digital approach to their solution.

scholarly journals Updating the Earth remote sensing software for the detection of thermal anomalies

Informatics ◽  
2021 ◽  
Vol 18 (4) ◽  
pp. 69-78
Author(s):  
S. A. Zolotoy ◽  
I. B. Strashko ◽  
Dz. S. Kotau ◽  
I. M. Nestsiarovich ◽  
V. V. Rouba ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Software Package ◽  
Satellite Images ◽  
Remote Sensing Data ◽  
Earth Remote Sensing ◽  
Geoinformation Systems ◽  
Thermal Anomalies ◽  
Natural Fires ◽  
The Earth ◽  
Time Required

O b j e c t i v e s. The task of improving the software package for detecting thermal anomalies based on meteorologicalsatellite data developed by the unitary enterprise "Geoinformation Systems" was solved.M e t h o d s. In the period from 2015 to the present, the work on practical testing and improvement of the software for natural fires detection has been carried out. For this purpose, satellite images of the territory of Belarus obtained from NOAA series spacecraft were used. Special attention was paid to the problem of improving the accuracy of determining the coordinates of fires and reducing the time required for initial data processing.Re s u l t s. A retrospective analysis of the main stages of improving the software for natural fires detection and obtained during practical tests generalized results are provided. The description of the web service developed on the basis of the software for detecting natural fires is presented.Co n c l u s i o n. The information can be useful for the specialists and researchers who are engaged in the detection of thermal anomalies (fires) using remote sensing data from meteorological satellites.

Earth Remote Sensing and Geoinformation Systems

Vestnik RFFI ◽  
2017 ◽  
Vol 3 (95) ◽  
pp. 78-96 ◽  
Author(s):  
Vasiliy Kopenkov ◽  
◽  
Vladislav Sergeyev ◽  
Viktor Soifer ◽  
Andrey Chernov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Earth Remote Sensing ◽  
Geoinformation Systems

scholarly journals Remote sensing of fish-processing in the Sundarbans Reserve Forest, Bangladesh: an insight into the modern slavery-environment nexus in the coastal fringe

2020 ◽  
Vol 19 (4) ◽  
pp. 429-444
Author(s):  
Bethany Jackson ◽  
Doreen S. Boyd ◽  
Christopher D. Ives ◽  
Jessica L. Decker Sparks ◽  
Giles M. Foody ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Environmental Degradation ◽  
Temporal Analysis ◽  
Ecological Impacts ◽  
Environmental Benefits ◽  
Environmental Damage ◽  
Mangrove Forests ◽  
Fish Processing ◽  
Modern Slavery ◽  
The Sundarbans

AbstractLand-based fish-processing activities in coastal fringe areas and their social-ecological impacts have often been overlooked by marine scientists and antislavery groups. Using remote sensing methods, the location and impacts of fish-processing activities were assessed within a case study of Bangladesh’s Sundarbans mangrove forests. Ten fish-processing camps were identified, with some occurring in locations where human activity is banned. Environmental degradation included the removal of mangroves, erosion, and the destruction of protected areas. Previous studies have identified cases of labour exploitation and modern slavery occurring within the Sundarbans, and remote sensing was used to triangulate these claims by providing spatial and temporal analysis to increase the understanding of the operational trends at these locations. These findings were linked to the cyclical relationship between modern slavery and environmental degradation, whereby environmental damage is both a driver and result of workers subjected to modern slavery. Remote sensing can be used as an additional methodological tool to support the achievement of the Sustainable Development Goals (SDGs) and provide evidence to support the promotion of the “freedom dividend” which would have far-reaching economic, social, cultural, and environmental benefits. Satellite remote sensing is likely to play an important role going forward for understanding these issues but should be augmented with ground-based data collection methods.

scholarly journals Land use analysis of Lake Khanka basin using remote sensing data

2021 ◽  
Vol 895 (1) ◽  
pp. 012007
Author(s):  
K Yu Bazarov ◽  
E G Egidarev ◽  
N V Mishina
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Paddy Field ◽  
Arable Land ◽  
Remote Sensing Data ◽  
Open Pit ◽  
Geoinformation Systems ◽  
Sensing Data ◽  
Land Use Structure ◽  
Lake Khanka

Abstract The paper presents results of the analysis of the land use map compiled for transboundary Lake Khanka Basin using remote sensing data and geoinformation systems. The map reflects the distribution of 12 land categories in Lake Khanka basin in 2017 (arable land, abandoned arable land, paddy field, abandoned paddy field, shrubs and sparse growth, forest land, open pit, settlements, meadows and pastures, wet meadows and marshes, water bodies, forest cuttings and fire sites). The data of land use structure in the whole Lake’s watershed, in its Russian and Chinese parts are given. Data on the distribution of different land categories in the administrative territories of the rank of districts (Russia) and counties (China) are also presented. The analysis of land use structure showed that about 50 % of the Chinese part of the basin is covered by anthropogenically transformed natural complexes. The share of such lands in the territory of Russia amounts to 28 %. Agriculture is the most important factor in the change of natural complexes in Lake Khanka basin. Before early 1990s, the area of farmland had increased in the basin on both sides of the border, after that there was a significant reduction in cultivated lands, which had lasted for 10 years in the territory of China and for 20 years in Russia. Over the past decade, the area of cultivated areas in the basin and adjacent territories has extended again, which indicates an increase of anthropogenic impact and requires serious attention to monitoring of the ecological state of lands in the basin.

scholarly journals Digital approaches in agriculture crop monitoring

2021 ◽  
Vol 937 (3) ◽  
pp. 032098
Author(s):  
E Barbotkina ◽  
Ie Dunaieva ◽  
V Popovych ◽  
V Pashtetsky ◽  
V Terleev ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information Technologies ◽  
Spatial Information ◽  
Morphological Characteristics ◽  
Remote Sensing Data ◽  
Digital Information ◽  
Agricultural Crops ◽  
Potential Yield ◽  
Earth Remote Sensing ◽  
Wide Range

Abstract Implementation of modern technologies for collecting and processing spatial information, primarily Earth remote sensing data, has made it possible to solve a wide range of tasks for specialists in the agricultural industry. The work aim is to assess the state of agricultural crops on the territory of Krymskorozovskoe rural settlement of the Belogorsky district of the Republic of Crimea using materials of Earth remote sensing and modern information technologies. The article reviews the literature on the research topic, studies the most significant works on this theme. The article presents the possibilities of digital information technologies in the framework of solving agricultural problems including creation of maps of fields and database formation, study of the territory relief and the features of its morphological characteristics, prompt identification of changes in agricultural fields, based on the calculation of vegetation indices, with the use of remote sencing; classification and identification of objects by satellite images; forecasting the potential yield of agricultural crops.

scholarly journals APPLICATION OF LIFE CYCLE ASSESSMENT TO VARIOUS BUILDING LIFETIME SHEARING LAYERS: SITE, STRUCTURE, SKIN, SERVICES, SPACE, AND STUFF

2015 ◽  
Vol 10 (2) ◽  
pp. 198-214 ◽  
Author(s):  
Svetlana Pushkar
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Negative Impact ◽  
Ecological Impacts ◽  
Environmental Damage ◽  
Rating Systems ◽  
Site Structure ◽  
Environmental Consequences ◽  
Long Lifetime ◽  
Building Activities

Currently, green rating systems are not directly related to environmental consequences. Moreover, rating systems score both building-related tasks with long lifetime expectancies and system-related tasks with short lifetime expectancies without separating them. Therefore, passive solar and bio-climatic architectures, which have long lifetime expectancies and thus have a strong, negative impact on the environment, are neglected. The main goal of this study is to explore differences in total environmental impact for a single “typical” building module (with the heavy wall building technology accepted in Israel) in terms of six different lifetime shearing layers, Site, Structure, Skin, Services, Space Plan, and Stuff, each of which reflects a different form of environmental damage. The objective of this study was to evaluate the six shearing layers using life cycle assessment (LCA) by applying Eco-indicator 99 (EI99). It was found that the environmental damage associated with the Building layers (Site, Structure, and Skin) was higher than that associated with the Service layers (Services, Space Plan, and Stuff). The paper may contribute to the development of a more scientific (quantitative) background for green rating systems. As a result, a greater decrease in building-related ecological impacts can be achieved, thus encouraging sustainable building activities.

scholarly journals USE OF EARTH REMOTE SENSING DATA FOR FORMATION OF GEODATA SPACE OF PIPELINE TRANSPORT

2020 ◽  
Vol 25 (3) ◽  
pp. 151-159
Author(s):  
Daniil V. Dolgopolov ◽  
◽  
Keyword(s):  
Remote Sensing ◽  
Spatial Data ◽  
Basic Needs ◽  
Remote Sensing Data ◽  
Information Space ◽  
Pipeline Transport ◽  
Earth Remote Sensing ◽  
Geoinformation Systems ◽  
Sensing Data ◽  
Source Of Information

The article considers the main approaches to the use of aerospace survey materials in the formation of geoinformation space of territories of construction and operation of pipeline transport. An important problem when filling corporate geoinformation systems for pipeline transport is the task of determining the composition of remote sensing Data, as well as the requirements for the frequency of their updating. The purpose of this work is to identify the basic needs for using remote sensing data in the formation of the geo- information space of pipeline transport and to determine the requirements for remote sensing materials to meet them. The article also considers the possibility of using remote sensing materials as a source of information when updating vector spatial data, and provides the results of analyzing the possibilities of decrypting pipeline transport and infrastructure objects based on aerospace survey materials of different spatial resolutions.

The machine training in problems of satellite images’s processing

Metrologiya ◽  
2020 ◽  
pp. 15-37
Author(s):  
L. P. Bass ◽  
Yu. A. Plastinin ◽  
I. Yu. Skryabysheva
Keyword(s):  
Remote Sensing ◽  
Neural Networks ◽  
Computer Vision ◽  
Satellite Images ◽  
Vision Systems ◽  
Earth Remote Sensing ◽  
Practical Applications ◽  
Convolution Neural Networks ◽  
Computer Vision Systems ◽  
Trained Neural Network

Use of the technical (computer) vision systems for Earth remote sensing is considered. An overview of software and hardware used in computer vision systems for processing satellite images is submitted. Algorithmic methods of the data processing with use of the trained neural network are described. Examples of the algorithmic processing of satellite images by means of artificial convolution neural networks are given. Ways of accuracy increase of satellite images recognition are defined. Practical applications of convolution neural networks onboard microsatellites for Earth remote sensing are presented.

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