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

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.

Download Full-text

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

Ecological Safety and Balanced Use of Resources ◽

10.31471/2415-3184-2018-2(18)-107-117 ◽

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.

Download Full-text

Digital approaches in agriculture crop monitoring

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/937/3/032098 ◽

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.

Download Full-text

Full-range, solar-reflected hyperspectral microscopy to support earth remote sensing research

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.12.026024 ◽

2018 ◽

Vol 12 (02) ◽

pp. 1 ◽

Cited By ~ 2

Author(s):

E. Terrence Slonecker ◽

David W. Allen ◽

Ronald G. Resmini ◽

Robert S. Rand ◽

Emily Paine

Keyword(s):

Remote Sensing ◽

Full Range ◽

Earth Remote Sensing

Download Full-text

Assessment of the Ecological Condition of Soil Cover Based on Remote Sensing Data: Erosional Aspect

SHS Web of Conferences ◽

10.1051/shsconf/202110005014 ◽

2021 ◽

Vol 100 ◽

pp. 05014

Author(s):

Andrii Achasov ◽

Alla Achasova ◽

Ganna Titenko ◽

Oleg Seliverstov ◽

Vladimir Krivtsov

Keyword(s):

Remote Sensing ◽

Soil Cover ◽

Arable Land ◽

Satellite Image ◽

Remote Sensing Data ◽

Water Erosion ◽

Visible Range ◽

Visual Interpretation ◽

Sensing Data ◽

Automated Method

Soil erosion by water is the most important global environmental problem. A modern system for assessing and monitoring soil erosional degradation should be based on the use of remote sensing data. This raises the issue of correct data decoding. The article proposes a method for visual interpretation of eroded soils according to the Sentinel image obtained in the visible range. The authors give some combinations of decoding signs to determine the manifestations of linear and surface water erosion from images. The article shows possible errors in decoding the manifestations of water erosion and gives an example of assessing the erosion of the soil cover based on the results of decoding the Sentinel-2 satellite image. Moderately and heavily eroded soils are reliably distinguished, the area of which, according to the interpretation data, was 2.4% of the area of arable land in the studied territory. In the future, the obtained sample of spectral images of eroded soils can be used to develop an automated method of interpretation based on the principle of "computer vision".

Download Full-text

Spatial analysis of protective forest plantations based on geographic information technologies and remote sensing data

Proceedings of the International conference “InterCarto/InterGIS” ◽

10.35595/2414-9179-2020-2-26-408-420 ◽

2020 ◽

Vol 26 (2) ◽

pp. 408-420

Author(s):

Sergey Antonov

Keyword(s):

Remote Sensing ◽

Information Technologies ◽

Arable Land ◽

Remote Sensing Data ◽

Water Erosion ◽

Geographic Information ◽

Forest Plantations ◽

Sensing Data ◽

Geographic Information Technologies ◽

Protective Forest

In many agricultural regions of Russia, significant land areas are degraded and the Stavropol Territory is no exception. Protective forest plantations play an important role in protecting the soil from deflation and water erosion. Significant areas of protective forest plantations are in unsatisfactory condition, which leads to a decrease in the effectiveness of their protective function. As a result of the study, a new methodology was developed for assessing the spatial position of protective forest plantations using geographic information technologies and remote sensing data, which has tested in the territory of the Budyonnovsky District of the Stavropol Territory. It has been established that the existing protective forest plantations in the district are not sufficiently effective in protecting the arable land from deflation. Only 5 % of protective forest plantations are located at recommended distances from each other and 10 % are at an optimal angle to the most harmful winds. The low efficiency of protective forest plantations is associated with the peculiarities of their design at the initial stages of creating a protective framework, their achievement of the maximum age, as well as significant damage resulting from human activities. To assess the effectiveness of protective forest plantations in combating water erosion, we developed an original methodology for adjusting the digital elevation model SRTM in order to eliminate local elevations of the relief at the locations of protective forest plantations. It was found that the horizontal indicator of the boundaries in the territory of the Budyonnovsky District is 11 %, which indicates that protective forest plantations in the district were created primarily to protect the arable land from deflation. The presented methodological approaches can be used to adjust existing, and design new protective forest plantations.

Download Full-text

The machine training in problems of satellite images’s processing

Metrologiya ◽

10.32446/0132-4713.2020-4-15-37 ◽

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.

Download Full-text