The analysis is geometrically stable orbits of spacecraft remote sensing of the Еarth

2018 ◽  
Vol 15 (1) ◽  
pp. 12-22
Author(s):  
V. M. Artyushenko ◽  
D. Y. Vinogradov

The article reviewed and analyzed the class of geometrically stable orbits (GUO). The conditions of stability in the model of the geopotential, taking into account the zonal harmonics. The sequence of calculation of the state vector of GUO in the osculating value of the argument of the latitude with the famous Ascoli-royski longitude of the ascending node, inclination and semimajor axis. The simulation is obtained the altitude profiles of SEE regarding the all-earth ellipsoid model of the gravitational field of the Earth given 7 and 32 zonal harmonics.

The equations of motion of a satellite are given in a general form, account being taken of the precession and nutation of the earth. The main part of the paper deals with the motion arising from the gravitational field of the earth, expressed as a general expansion in spherical harmonics. By evaluating the partial derivatives in Lagrange’s planetary equations, • expressions are obtained for the rates of change of the orbital elements. Particular consideration is given to the form of the expressions for the secular terms arising from the first four zonal harmonics.


2021 ◽  
Vol 25 (9) ◽  
pp. 30-37
Author(s):  
N.N. Sliusar ◽  
A.P. Belousova ◽  
G.M. Batrakova ◽  
R.D. Garifzyanov ◽  
M. Huber-Humer ◽  
...  

The possibilities of using remote sensing of the Earth data to assess the formation of phytocenoses at reclaimed dumps and landfills are presented. The objects of study are landfills and dumps in the Perm Territory, which differed from each other in the types and timing of reclamation work. The state of the vegetation cover on the reclaimed and self-overgrowing objects was compared with the reference plots with naturally formed herbage of zonal meadow vegetation. The process of reclamation of the territory of closed landfills was assessed by the presence and homogeneity of the vegetation layer and by the values of the vegetation index NDVI. To identify the dynamics of changes in the vegetation cover, we used multi-temporal satellite images from the open resources of Google Earth and images in the visible and infrared ranges of the Landsat-5/TM and Landsat-8/OLI satellites. It is shown that the data of remote sensing of the Earth, in particular the analysis of vegetation indices, can be used to assess the dynamics of overgrowing of territories of reclaimed waste disposal facilities, as well as an additional and cost-effective method for monitoring the restoration of previously disturbed territories.


2018 ◽  
Vol 0 (19) ◽  
pp. 21-27
Author(s):  
Александр Борисович Камелин ◽  
Василий Григорьевич Лукомский

Author(s):  
А.В. Иванов ◽  
А.В. Стриженок ◽  
И.К. Супрун

В последние десятилетия наблюдается устойчивая тенденция к значительному увеличению объемов добычи и переработки минерального сырья, что, в свою очередь приводит к увеличению объемов промышленных отходов, преобладающим способом утилизации которых является наземное размещение в виде техногенных массивов. Такие техногенные массивы особенно сильно подвержены риску возникновения чрезвычайных ситуаций, которые могут повлечь за собой значительный социальный, экологический и экономический ущерб. В этой связи особую актуальность для общества, экономики и государства приобретает разработка и внедрение на территории воздействия хранилищ промышленных отходов систем экологического мониторинга, позволяющих оперативно выявлять источники техногенной нагрузки и осуществлять своевременную их ликвидацию. Одной из наиболее инновационных и развивающихся сфер экологического мониторинга на сегодняшний день является мониторинг состояния компонентов природной среды на основании данных дистанционного зондирования земли. На сегодняшний день мониторинг состояния природных объектов, подверженных негативному воздействию предприятий минерально-сырьевого комплекса, с использованием данных дистанционного зондирования земли представляет значительный практический и научный интерес. Все разнообразие приемов и способов дешифрирования космоснимков сводится к двум основным методам: визуальному и автоматизированному (компьютерному). Под визуальным дешифрированием понимается процесс, выполняемый оператором. В противоположность этому автоматизированное (компьютерное) дешифрирование это программная обработка снимков на компьютере при помощи специальных программ. Космическая съемка заняла прочное место в системе средств, применяемых при проведении мониторинга окружающей среды. Перечень тематических задач, решаемых по данным дистанционного зондирования Земли огромен, а мониторинг экологической ситуации территорий, подверженных негативному воздействию объектов минерально-сырьевого комплекса, на основании данных дистанционного зондирования Земли является перспективным и активно развивающимся методом экологического мониторинга. В данной работе представлены основные методы дешифрирования геоэкологических условий территорий горнопромышленных комплексов на основании данных дистанционного зондирования земли There are a steady tendency to significantly increase the volume of extraction and processing of mineral raw materials on our planet in recent decades. It leads to an increase in the volume of industrial waste, which predominant method of disposal is placement on the Earth surface in the form of anthropogenic arrays. Such anthropogenic arrays are especially subjecting to the risk of emergencies, which can entail significant social, environmental and economic damage. In this regard, the development and implementation of environmental monitoring systems on the territory of the impact of industrial waste storages, which can quickly identify sources of anthropogenic load and carry out their timely elimination, is of particular relevance to society, the economy and the state. Monitoring of the state of components of the environment based on remote sensing data is one of the most innovative and developing areas of environmental monitoring today. Today, monitoring the state of natural objects exposed to the negative impact of the enterprises of the mineral resource complex using data from remote sensing of the earth is of significant practical and scientific interest. The whole variety of techniques and methods for decoding satellite images is reduced to two main methods: visual and automated (computer). Visual decryption refers to the process performed by the operator. In contrast, automated decryption is the software processing of images on a computer using special programs. Space imagery has taken a strong place in the system of tools used in environmental monitoring. The list of thematic tasks to be solved according to the Earths remote sensing data is huge, and monitoring the environmental situation of territories exposed to the negative impact of the mineral resources complex, based on the Earths remote sensing data, is a promising and actively developing method of environmental monitoring. This paper presents the main methods of decoding of the geo-ecological conditions of territories of mining complexes based on the data of earth remote sensing.


2020 ◽  
Vol 193 (2) ◽  
pp. 9-19 ◽  
Author(s):  
Nina Lapenko ◽  
F. Eroshenko ◽  
I. STORCHAK

Abstract. It is possible to increase the accuracy and objectivity of monitoring the state of natural grass stands, the vegetation features of grassy vegetation of the steppe phytocenoses, and their feed potential using remote sensing data from the Earth. The purpose of the work is to obtain data on the state of natural phytocenoses, the characteristics of vegetation of wild vegetation in various soil and climatic conditions using data from remote sensing of the Earth. Methods. Geobotanical studies were carried out at registration sites (landfills) measuring 10×10 m, in accordance with the requirements of methods and state standards generally accepted in phytocenology. Description of vegetation was carried out according to the system of O. Drude, with a mark of the abundance of the species, projective cover, and height of the grass stand. Assessment of the state of vegetation was analyzed by the values of the normalized relative vegetation index (NDVI), which was obtained using the service “Vega” IKI RAS. The objects of study are the natural communities of wild-growing flora located in the arid zone (ZZ) and the zone of unstable moisture (ZNU) of the Stavropol territory. Results. The current ecological state and composition of the steppe vegetation of the studied zones has been established. Both the anthropogenic factor and the climatic conditions in which natural grass stands grow strongly influence the vegetation features, species composition, productivity and quality of feed. The analysis showed that the heat supply of the vegetation period of the arid zone is 5 % higher than the zones of unstable humidification of the Stavropol territory, and the annual rainfall in PYE is 32 % higher than in the western zone. All this affects the course of vegetation of natural forage land in these regions. So, in the arid zone and in the zone of unstable humidification, the average dynamics of the vegetation indices NDVI have a completely different look: there are different levels of maxima, their onset and growth rate and decrease in NDVI. In the arid zones, a pronounced second maximum is observed at the end of November, and in the zone of unstable humidification there is only a tendency for the vegetation index to increase in the autumn period.


2021 ◽  
Vol 31 (1) ◽  
pp. 21-36
Author(s):  
Irina G. Storchak ◽  
Fedor V. Eroshenko ◽  
Lusine R. Oganyan ◽  
Elena O. Shestakova ◽  
Anastasiya A. Kalashnikova

Introduction. The importance of controlling the organogenesis stages is that it provides the opportunity to create favorable conditions during the development of certain elements of the yield structure by caring crops and influence the grain quality. The objective of the work is to define a connection between the Earth remote sensing data and the state of winter wheat plants in the initial period of their growth and development. Materials and Methods. The object of the study was the winter wheat plantings. The wheat varieties “Odisseya”, “Olympus”, “Niva Stavropolya”, “Victoria 11”, “Nastya” and “Firuza 40” were sown by plot in the experimental field. The industrial crops of winter wheat were studied to assess the state of the plants in the tillering stage in 2012–2013, 2013–2014 and 2015–2016 agricultural years. The Earth remote sensing data were obtained using the “VEGA” service of FBSI “Space Research Institute of the Russian Academy of Sciences”. Results. The obtained function of the dependence of NDVI of winter wheat crops on the height and development stage of plants is a polynomial of the third degree and is characterized by high accuracy (Rcorr = 0.98). The analysis of the NDVI, RED and NIR data of fields on dates close to the dates of collecting plant samples showed a considerable degree of relationship between the vegetation index NDVI and height of winter wheat plants. In 2013, the correlation coefficient was 0.60, in 2014 – 0.66, in 2016 – 0.80, and in 2013–2016 on average about 0.85. Discussion and Conclusion. The studies have shown that the Earth remote sensing data can be used to assess the state and degree of the development of winter wheat crops during the seeding and tillering stages, including in the production conditions. To improve the accuracy of the assessment, it is better to use the spectral brightness values in the infrared region of the spectrum.


2020 ◽  
Author(s):  
Lina Hadid ◽  
Melinda Dosa ◽  
Madar Akos ◽  
Tommaso Alberti ◽  
Johannes Benkhoff ◽  
...  

<p>BepiColombo and Solar Orbiter are two spacecraft that will be both travelling in the inner heliosphere for 5 years, between the launch of Solar Orbiter (planned in February 2020) and the end of the cruise phase of BepiColombo (2018 - 2025). Both BepiColombo (ESA/JAXA) and Solar Orbiter (ESA/NASA) are carrying exceptional and complementary plasma instrumental payloads and magnetometers. Besides, the remote-sensing instruments on board of Solar Orbiter will provide invaluable information on the state of the Sun, and therefore some contextual information for BepiColombo observations. During the five years to come, BepiColombo will evolve between the Earth and the orbit of Mercury, while Solar Orbiter’s highly elliptical orbit will cover distances from 1.02 AU to 0.28 AU.  We present here the scientific cases, modelling tools, measurement opportunities and related instruments operations that have been identified in the frame of potential coordinated observations campaign between the spacecraft.</p>


2021 ◽  
Vol 942 (1) ◽  
pp. 012034
Author(s):  
M Pawlik ◽  
T Rudolph ◽  
J Benndorf ◽  
J Blachowski

Abstract Each phenomenon has its cause and effect. During the research on the post-mining processes, the reasons can be found in ongoing processes taking place after the end of the mining exploitation. Therefore, a very important aspect is Geomonitoring. Currently, the post-mining processes taking place all over the world, should be considered into two groups of processes: such taking place in subsurface regions and such on the surface on the Earth. Through an integrated Geomonitoring it is possible to observe, among others, the vegetation of the mining areas. The observation of the state of vegetation is an aspect of research using remote sensing methods, e.g. indicators of vegetation. Of course, the reduction of plant vegetation may be caused by other reasons as well. Therefore, an important aspect is to distinguish changes in vegetation resulting affects coming from natural factors (climate changes, long-term droughts or sudden weather phenomena) and the resulting from post-mining processes. This article presents the indicators that have been discovered and used in the research of plant vegetation, which can be used in the post-mining.


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