scholarly journals S and X band patch antenna for CubeSat nanosatellites

2021 ◽  
Vol 78 (3) ◽  
pp. 90-96
Author(s):  
N. Meirambekuly ◽  
◽  
B.A. Karibayev ◽  
A.A. Temirbayev ◽  
A.K. Imanbayeva ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Computer Simulations ◽  
Patch Antenna ◽  
Software Package ◽  
Fractal Structure ◽  
Anisotropic Structure ◽  
Earth Remote Sensing ◽  
X Band ◽  
Wide Range ◽  
High Degree

The CubeSat concept has become very popular with both university groups and researchers, space agencies, governments and companies. CubeSat offers a fast and affordable way for a wide range of stakeholders to be active in space. Due to the high degree of modularity and widespread use of off­the­shelf commercial subsystems, CubeSat projects can be prepared for flight much faster than using traditional satellite schedules usually within one to two years. In this paper, we have considered a model of an S and X band patch antenna for CubeSat nanosatellites in the field of Earth remote sensing (ERS). The antenna dimensions were determined and designed according to the dimensions of the small spacecraft. The shape of the emitting part was formed using a geometric fractal with an anisotropic structure. Using the CST Microwave Studio software package, the electro­dynamic, frequency characteristics and directional properties of the antenna were determined. The results of computer simulations demonstrate that the developed antenna concept has a multi­band property and meets all the parameters that are necessary for receiving and transmitting data in the S and X bands. It was also found that the anisotropic fractal structure allows the antenna to have several operating frequencies.

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.

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 POSSIBILITY OF USING REMOTE SENSING DATA FOR MONITORING WATER OBJECTS

2021 ◽  
Vol 6 ◽  
pp. 248-255
Author(s):  
Natalya S. Reshetilo ◽  
Elena P. Khlebnikova
Keyword(s):  
Remote Sensing ◽  
Software Package ◽  
Remote Sensing Data ◽  
Earth Remote Sensing ◽  
Sensing Data ◽  
Irkutsk Region ◽  
Erdas Imagine ◽  
Remote Sensing Methods ◽  
The City

The article discusses the use of Earth remote sensing methods. The analysis and mapping of changes in the boundaries of the Iyariver in the city of Tulun, Irkutsk region, was carried out using the Erdas Imagine 2015 software package.

scholarly journals Defining Boundaries and Dynamics of Urbanized Areas According to Remote Data Sensing

2020 ◽  
pp. 46-52
Author(s):  
Andrii Marushchynets
Keyword(s):  
Remote Sensing ◽  
Land Surface ◽  
Urban Areas ◽  
Remote Sensing Data ◽  
Spatial Development ◽  
Earth Remote Sensing ◽  
Sensing Data ◽  
Wide Range ◽  
The Usa ◽  
Urbanized Areas

The article is devoted to the original approach of defining continuously built-up urban areas as well as the dynamics of this process by means of Earth remote sensing data analysis. Basing on this approach, the spreading borders of continuously built-up urban areas of Kyiv city and its suburbs during 1976-2018 have been defined. Earth remote sensing data, as a valuable source of information on land surface in general and built-up areas in particular, provides wide range of opportunities for researching the process of spatial development of urbanized areas. Analysis of built-up territories during significant period of time allows defining spatial development vectors of urbanized regions, modern continuously built-up areas and their borders. The review of similar researches has revealed that the most convenient sources of Earth remote sensing data for defining the area of built-up territories are represented by multispectral space footages of Landsat space program of the USA. The deciphering of space footages and defining of built-up areas has been conducted involving spectral indexes, which is the most precise method of deciphering the Earth remote sensing data. Thus, we managed to define built-up and non-built-up areas as well as water objects of Kyiv city and its suburbs for 1976, 1985, 2002 and 2008. A set of illustrating schematic maps has been created, depicting borders of built-up area. A continuously built-up urban area has amalgamated Kyiv city and a number of surrounding settlements into a highly-urbanized core. During 1976-2018, the area of continuously built-up urban territory of Kyiv expanded 1,5 times and mostly southwestwards.

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.

Algorithm for planning of realization of thematic programs of the Earth remote sensing

2007 ◽  
Vol 13 (2) ◽  
pp. 39-42
Author(s):  
A.I. Kirillov ◽  
◽  
Ye.I. Kapustin ◽  
N.A. Kirillova ◽  
E.I. Makhonin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Earth Remote Sensing ◽  
The Earth
Sign in / Sign up

Export Citation Format

Share Document