scholarly journals GIS-technology and data of earth remote sensing to identify and predict ravine erosion development

2020 ◽  
Vol 27 ◽  
pp. 00113
Author(s):  
Almaz Sabirzyanov ◽  
Mikhail Panasyuk ◽  
Nikolai Trofimov ◽  
Svetlana Sochneva
Keyword(s):  
Remote Sensing ◽  
Environmental Impact ◽  
Remote Sensing Data ◽  
Gis Technology ◽  
Earth Remote Sensing ◽  
Factors Affecting ◽  
Erosion Processes ◽  
Geoinformation Technologies ◽  
The Republic ◽  
Negative Erosion

This article discusses the study of the process of ravine erosion using geoinformation technologies and Earth remote sensing data. Ravine erosion, which develops on the territory of the Verkhneuslonsky municipal region of the Republic of Tatarstan, is considered as a multifactorial process. The possibility of using freely available data to study the factors affecting ravine erosion is evaluated. It is shown that in modern conditions of increased anthropogenic environmental impact, especially in areas heavily divided by ravines, the use of GIS technology is sufficient in order to monitor and quickly respond to negative erosion processes occurring on agricultural lands.

scholarly journals Applying GIS Technologies for Mapping Natural and Anthropogenic Transformed Soils in the Southern Forest-Steppe of the Republic of Bashkortostan

2020 ◽  
Vol 12 (4) ◽  
pp. 29-45
Author(s):  
Marat Ishbulatov ◽  
Ilnur Miftakhov ◽  
Zila Churagulova ◽  
Radik Mindibayev ◽  
Alexander Komissarov
Keyword(s):  
Remote Sensing Data ◽  
Soil Survey ◽  
Forest Steppe ◽  
Core Element ◽  
Gis Technologies ◽  
Erosion Processes ◽  
Geoinformation Technologies ◽  
Republic Of Bashkortostan ◽  
The Republic ◽  
Agricultural Areas

Soil is a core element of the biosphere, and the soil cover is exposed to major processes that take place within this system. Therefore, it is very important to understand the results of soil research from the perspective of current global and local environmental problems. With the advent of new methods of spatial analysis and techniques for obtaining remote sensing data, geoinformation technologies offer great opportunities for analyzing the natural and ecological state of the region. Therefore, geoinformation analysis of the state of natural and anthropogenic transformed soils is an essential tool for their studying, forecasting the development of the natural environment, and working out the ways of rational farming. As forest territories have a beneficial effect on the natural and climatic situation in general, and vice versa, environmental degradation on agricultural lands will result in worsening the situation on forest lands, it is necessary to consider forest and agricultural areas in close integration with GIS technologies. It should be done to improve the overall natural environmental conditions. The study used soil survey data conducted in 2017-2019. Field and office studies were conducted: samples were taken in the field to determine the agrochemical parameters of the soil, and the data obtained were analyzed using mathematical and statistical methods. Digital cartographic materials were created using geoinformation technologies. The basis for a comprehensive natural and environmental assessment of forest and agricultural areas using geoinformation systems was laid. The studies conducted to identify changes in natural and anthropogenic transformed soils have shown that the contours of soil varieties have changed. In many cases, there is a deterioration in soil properties. The number of fertile chernozem has decreased. In areas with low crop cultivation, there are signs of a decrease in the humus horizon and the development of erosion processes. As a result of the conducted research, a single digital soil and geographical database for forest and agricultural territories were created. The developed methodology and algorithm for creating a database and digital cartographic basis using geoinformation technologies in environmental studies can be recommended as a base for similar studies both in the Republic of Bashkortostan and in other regions.

scholarly journals Efficient land use based on remote sensing data

2021 ◽  
Vol 3 ◽  
pp. 180-185
Author(s):  
Y. M. Kenzhegaliyev ◽  
◽  
◽  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Remote Sensing Data ◽  
Crop Productivity ◽  
The State ◽  
Agricultural Crops ◽  
Earth Remote Sensing ◽  
Spectral Reflectivity ◽  
Sensing Data ◽  
Current Location

The goal -is to explore ways of using Earth remote sensing data for efficient land use. Methods - detailed information on current location of certain types of agricultural crops in the study areas has been summarized, which opens up opportunities for the effective use of cultivated areas. It was revealed that the basis of the principle of the method under consideration is the relationship between the state and structure of vegetation types with its reflective ability. It has been determined that information on the spectral reflective property of the vegetation cover in the future can help replace more laborious methods of laboratory analysis. For classification of farmland, satellite images of medium spatial resolution with a combination of channels in natural colors were selected. Results - a method for identifying agricultural plants by classification according to the maximum likelihood algorithm was considered. The commonly used complexes of geoinformation software products with modules for special image processing allow displaying indicators in the form of raster images. It is shown that the use of Earth remote sensing data is the most relevant solution in the field of crop recognition and makes it possible to simplify the implementation of such types of work as the analysis of the intensity of land use, the assessment of the degree of pollution with weeds and determination of crop productivity. Conclusions - the research results given in the article indicate that timely information on the current location of certain types of agricultural crops in the studied territories significantly simplifies the implementation of the tasks and increases the resource potential of agricultural lands. In turn, the timing of the survey and the state of environment affect the spectral reflectivity of vegetation.

scholarly journals Indicative landscape monitoring of the national nature park (case study the territory of Slobozhansky National Nature Park)

2018 ◽  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Terrestrial Ecosystems ◽  
Gis Technology ◽  
Landscape Indicators ◽  
Monitoring Method ◽  
Sensing Data ◽  
The Usa ◽  
Nature Park ◽  
Landscape Monitoring

Formulation of the problem. National Natural Parks (NNP) – protected areas where anthropogenic and natural landscapes are combined in the same territory. In addition, the main functions of such objects are significantly competitive, which requires monitoring of changes in existing landscapes. It is necessary to define the local objects which, being the most sensitive, at the same time have small plasticity, therefore, are capable to react quickly and adequately to any changes. That is what we call indicative. Analysis of recent research and publications. Many researchers of the USA, Great Britain, Germany, Australia conduct landscape monitoring using remote sensing data and GIS technologies. For example, D. Keith, S. Rodoreda, L. Holman, R. Noss, U. Walz, and others. The National Inventory of Landscapes in Sweden studies development of modern landscape monitoring in countries of Europe. Landscape Monitoring of Terrestrial Ecosystems, studied by researches R. Kennedy, J. Jons, K. Jones and others allow using data of satellite for selection of plant contours using Gis-technology. Landscape monitoring of the territory of NNP «Slobozhanskiy» has never been carried out. The aim of the study is to choose satellite images, taking into account the area of the study, the choice of optimal methods of their processing for the compilation of a database of landscape structure facies for landscape monitoring based on long-term observations on the ground, comparing their results with geodata. We have determined wetlands, as landscape indicators. Presentation of the main material of the study. Comprehensive analysis of remote sensing data carried out by the authors, allowed us to make sure that vegetation cover is the most indicative, except for the contours of wetlands, which are clearly identified and easily compared in multi-spectral images. It is reliably determined by the characteristic features combine with the corresponding spectral ranges and the image structure. In addition, changes in vegetation allows you to visually determine changes in landscape groupings and the speed of these changes. Summary. The indicative features of landscape monitoring are wetlands, and there are two direct indicators: the contours of wetlands and the change in the aspect of vegetation. The monitoring method is a multispectral analysis of images obtained by processing combinations of spectral channels, which showed the ability to determine the changes in the selection, taking into account reflectivity of the surface. Limitations of the method are the following: there is no established method of meticulous analysis of changes in the structure of vegetation, which is observed visually, but is not reflected instrumentally; inability to take into account random features of the territory conditions and space scanning at a certain point, which is interesting for the study. Finally, the types of monitoring objects, indicative signs of changes and ways to track them according to high-precision and generally available satellite information are determined.

scholarly journals Self-Organizing B2B Enterprise of Distributed Photogrammetric Processing of Terrain Images in ETRIS

2020 ◽  
pp. 155-179
Author(s):  
Oleg Karsaev ◽  
Igor Shuklin ◽  
Sergey Yushchenko
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Remote Sensing Data ◽  
Earth Remote Sensing ◽  
Distributed Information System ◽  
Distributed Information ◽  
Sensing Data ◽  
Geographically Distributed ◽  
Software Information ◽  
Self Organizing

An approach to the dynamic formation (adjustment) of schedules for distributed photogrammetric image processing in a network of ground centers included in the United geographically distributed information system for receiving and processing Earth remote sensing data from space is considered. Having the fullest satisfaction of requirements of consumers to the satellite images of necessary areas, the approach provides the formation of self-organizing B2B enterprises in the specified network providing information, software and hardware resources of the ground-based facilities of various departmental and other accessories for photogrammetric processing of any received images of the area from the the United geographically distributed information system. It is shown, that a search in B2B enterprise nodes and borrowing the required resources will allow ground centers to flexibly scale physical and virtual means of photogrammetric processing of Earth remote sensing data, quickly form their local structural and functional organizations depending on the current properties of the consumer requests flow for receiving Earth remote sensing data in the United geographically distributed information system, characteristics of the flow of terrain survey materials from orbital monitoring tools, and also take into account the visual and measuring properties of images of the area subject to photogrammetric processing. A method for truncating the set of potential performers of the application in accordance with the existing semantic and other restrictions on the composition of the desired set of performers is proposed. Also mechanisms to encourage ground centers to provide idle resources to B2B enterprise nodes are proposed. They are based on the possibility of receiving monetary or other remuneration from a ground center for participating in distributed application servicing. The development of a well-known model of a self-organizing B2B enterprise creates conditions for a more efficient organization of servicing the flow of applications in the United geographically distributed information system by attracting unused software, information and hardware resources of ground centers of various departmental affiliations.

Community geometric standards for remote sensing products

2021 ◽  
Author(s):  
Guoqing (Gary) Lin ◽  
Robert Wolfe ◽  
Bin Tan ◽  
Jaime Nickeson
Keyword(s):  
Remote Sensing ◽  
Infrared Imaging ◽  
European Space Agency ◽  
Remote Sensing Data ◽  
Performance Standards ◽  
Positional Accuracy ◽  
Factors Affecting ◽  
Remote Sensors ◽  
Data Products ◽  
Moderate Resolution Imaging Spectroradiometer

<p>We have developed a set of geometric standards for assessing earth observing data products derived from space-borne remote sensors.  We have worked with the European Space Agency (ESA) Earthnet Data Assessment Pilot (EDAP) project to provide a set of guidelines to assess geometric performance in data products from commercial electronic-optical remote sensors aboard satellites such as those from Planet Labs. The guidelines, or the standards, are based on performance from a few NASA procured sensors, such as the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors, the Visible Infrared Imaging Radiometer Suite (VIIRS) sensors and the Advanced Baseline Imager (ABI) sensors. The standards include sensor spatial response, absolute positional accuracy, and band-to-band co-registration. They are tiered in “basic”, “intermediate” and “goal” criteria. These are important geometric factors affecting scientific use of remote sensing data products. We also discuss possible approaches achieving the highest goal in geometric performance standards.</p>

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