The discrete system of Fibonacci functions for the constructions of a global automated system for monitoring objects littering the environment using remote sensing

2021 ◽  
Author(s):  
Maretta Kazaryan ◽  
Evgeny A. Semenishchev ◽  
Viacheslav Voronin
Keyword(s):  
Remote Sensing ◽  
Discrete System ◽  
Automated System

scholarly journals Automated System for Multiversion Setting and Solving of Design Problems in the Initial Stages of Remote Sensing Satellites Conceptual Designing Process

2015 ◽  
Vol 104 ◽  
pp. 76-87 ◽  
Author(s):  
Alexander Kirilin ◽  
Ravil’ Akhmetov ◽  
Vladimir Kurenkov ◽  
Nikolay Stratilatov ◽  
Valeriy Abrashkin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Automated System ◽  
Design Problems

scholarly journals AUTOMATED FORMOSAT IMAGE PROCESSING SYSTEM FOR RAPID RESPONSE TO INTERNATIONAL DISASTERS

2016 ◽  
Vol XLI-B4 ◽  
pp. 755-762
Author(s):  
M. C. Cheng ◽  
S. C. Chou ◽  
Y. C. Chen ◽  
B. Chen ◽  
C. Liu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
High Performance ◽  
Processing System ◽  
Lessons Learned ◽  
Automated System ◽  
Efficient Manner ◽  
Image Processing System ◽  
Societal Benefit ◽  
Space Agency

FORMOSAT-2, Taiwan’s first remote sensing satellite, was successfully launched in May of 2004 into the Sun-synchronous orbit at 891 kilometers of altitude. With the daily revisit feature, the 2-m panchromatic, 8-m multi-spectral resolution images captured have been used for researches and operations in various societal benefit areas. This paper details the orchestration of various tasks conducted in different institutions in Taiwan in the efforts responding to international disasters. The institutes involved including its space agency-National Space Organization (NSPO), Center for Satellite Remote Sensing Research of National Central University, GIS Center of Feng-Chia University, and the National Center for High-performance Computing. Since each institution has its own mandate, the coordinated tasks ranged from receiving emergency observation requests, scheduling and tasking of satellite operation, downlink to ground stations, images processing including data injection, ortho-rectification, to delivery of image products. With the lessons learned from working with international partners, the FORMOSAT Image Processing System has been extensively automated and streamlined with a goal to shorten the time between request and delivery in an efficient manner. The integrated team has developed an Application Interface to its system platform that provides functions of search in archive catalogue, request of data services, mission planning, inquiry of services status, and image download. This automated system enables timely image acquisition and substantially increases the value of data product. Example outcome of these efforts in recent response to support Sentinel Asia in Nepal Earthquake is demonstrated herein.

scholarly journals AUTOMATED FORMOSAT IMAGE PROCESSING SYSTEM FOR RAPID RESPONSE TO INTERNATIONAL DISASTERS

2016 ◽  
Vol XLI-B4 ◽  
pp. 755-762
Author(s):  
M. C. Cheng ◽  
S. C. Chou ◽  
Y. C. Chen ◽  
B. Chen ◽  
C. Liu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
High Performance ◽  
Processing System ◽  
Lessons Learned ◽  
Automated System ◽  
Efficient Manner ◽  
Image Processing System ◽  
Societal Benefit ◽  
Space Agency

FORMOSAT-2, Taiwan’s first remote sensing satellite, was successfully launched in May of 2004 into the Sun-synchronous orbit at 891 kilometers of altitude. With the daily revisit feature, the 2-m panchromatic, 8-m multi-spectral resolution images captured have been used for researches and operations in various societal benefit areas. This paper details the orchestration of various tasks conducted in different institutions in Taiwan in the efforts responding to international disasters. The institutes involved including its space agency-National Space Organization (NSPO), Center for Satellite Remote Sensing Research of National Central University, GIS Center of Feng-Chia University, and the National Center for High-performance Computing. Since each institution has its own mandate, the coordinated tasks ranged from receiving emergency observation requests, scheduling and tasking of satellite operation, downlink to ground stations, images processing including data injection, ortho-rectification, to delivery of image products. With the lessons learned from working with international partners, the FORMOSAT Image Processing System has been extensively automated and streamlined with a goal to shorten the time between request and delivery in an efficient manner. The integrated team has developed an Application Interface to its system platform that provides functions of search in archive catalogue, request of data services, mission planning, inquiry of services status, and image download. This automated system enables timely image acquisition and substantially increases the value of data product. Example outcome of these efforts in recent response to support Sentinel Asia in Nepal Earthquake is demonstrated herein.

scholarly journals On the design of the automated monitoring system of waste disposal objects with the application of earth remote sensing technologies

2021 ◽  
Vol 33 ◽  
pp. 140-156
Author(s):  
Maretta Kazaryan
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Monitoring System ◽  
Human Activity ◽  
Waste Disposal ◽  
Industrial Waste ◽  
Open Data ◽  
Systems Design ◽  
Automated System ◽  
Remote Monitoring System

Currently, geographic information systems have taken strong positions in economics, politics and in almost all spheres of human activity. The result of human activity in urbanized areas is the emergence and further spread of unauthorized landfills and industrial waste. In order to timely intervene and stop the spread of foci of infection and changes in the soil composition, it is necessary to have an automated system for monitoring the disposal facilities and industrial waste. The purpose of the work is to design a model of an automated system for monitoring waste disposal sites, including industrial sites, using remote sensing technologies. General research methodology: The paper uses modern methods of information systems design, using the theory of databases, data warehouses, and geographic bases data. Scientific novelty: The paper suggests a model of an automated space system monitoring for the presence of waste disposal facilities. A general methodology for constructing a geo-information model that monitors territories for the presence of waste disposal sites and also a methodology for the development of geodatabase are given. Landfill geo-databases are a structure of attribute and geographic data obtained in an automated mode. An analysis of current perspectives in the creation and operation of such automated geo-information systems is given using specific knowledge in the field of very large, distributed and open data archives. As a realization of theoretical reasoning, the practical part of the formation of software, technical and mathematical support of the remote monitoring system of the waste disposal area (WDA) and industrial waste (IW) landfill is given. In general, the work is survey-research in nature.

scholarly journals Cataloging system for Russian satellites remote sensing data: main characteristics and operating experience

2020 ◽  
Vol 223 ◽  
pp. 03023
Author(s):  
Alexey Kadochnikov ◽  
Alexey Tokarev
Keyword(s):  
Remote Sensing ◽  
Satellite Data ◽  
Distribution System ◽  
Research Work ◽  
Operating Experience ◽  
Remote Sensing Data ◽  
Practical Experience ◽  
Automated System ◽  
Sensing Data ◽  
Sensing System

A local archive and a system for cataloging satellite data from Russian spacecraft that are received by the FRC KSC SB RAS through the services of the Roscosmos Geoportal have been developed. An automated system for remote sensing data preprocessing has been created, which significantly simplifies access to information, implements search services and web visualization of images registered in the catalog. Practical experience in operating the system has revealed a number of shortcomings of the existing Roscosmos data distribution system. Presented data on the execution of the Roscosmos satellite survey order in 2019 they show that the capabilities of the Russian remote sensing system are very limited, and a significant part of the planned research work has not been implemented due to the lack of ordered satellite data.

scholarly journals Annual Forest Monitoring as part of Indonesia's National Carbon Accounting System

2015 ◽  
Vol XL-7/W3 ◽  
pp. 441-448
Author(s):  
K. Kustiyo ◽  
O. Roswintiarti ◽  
A. Tjahjaningsih ◽  
R. Dewanti ◽  
S. Furby ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Forest Cover ◽  
Landsat Imagery ◽  
Carbon Accounting ◽  
Forest Monitoring ◽  
Automated System ◽  
Landsat 8 ◽  
Accounting System ◽  
Forest Change

Land use and forest change, in particular deforestation, have contributed the largest proportion of Indonesia’s estimated greenhouse gas emissions. Indonesia’s remaining forests store globally significant carbon stocks, as well as biodiversity values. In 2010, the Government of Indonesia entered into a REDD+ partnership. A spatially detailed monitoring and reporting system for forest change which is national and operating in Indonesia is required for participation in such programs, as well as for national policy reasons including Monitoring, Reporting, and Verification (MRV), carbon accounting, and land-use and policy information. <br><br> Indonesia’s National Carbon Accounting System (INCAS) has been designed to meet national and international policy requirements. The INCAS remote sensing program is producing spatially-detailed annual wall-to-wall monitoring of forest cover changes from time-series Landsat imagery for the whole of Indonesia from 2000 to the present day. Work on the program commenced in 2009, under the Indonesia-Australia Forest Carbon Partnership. A principal objective was to build an operational system in Indonesia through transfer of knowledge and experience, from Australia’s National Carbon Accounting System, and adaptation of this experience to Indonesia’s requirements and conditions. A semi-automated system of image pre-processing (ortho-rectification, calibration, cloud masking and mosaicing) and forest extent and change mapping (supervised classification of a ‘base’ year, semi-automated single-year classifications and classification within a multi-temporal probabilistic framework) was developed for Landsat 5 TM and Landsat 7 ETM+. Particular attention is paid to the accuracy of each step in the processing. With the advent of Landsat 8 data and parallel development of processing capability, capacity and international collaborations within the LAPAN Data Centre this processing is being increasingly automated. Research is continuing into improved processing methodology and integration of information from other data sources. <br><br> This paper presents technical elements of the INCAS remote sensing program and some results of the 2000 – 2012 mapping.

scholarly journals Methods for Displaying the Dynamics of Indices Based on Remote Sensing Data of the Earth

2021 ◽  
Author(s):  
Evgeniy Trubakov ◽  
Andrey Trubakov ◽  
Anna Trubakova
Keyword(s):  
Remote Sensing ◽  
Visual Analysis ◽  
Vegetation Indices ◽  
Remote Sensing Data ◽  
Automated System ◽  
Sensing Data ◽  
Symbolic Information ◽  
The Earth ◽  
Visual Maps ◽  
The Right

One of important aspects of developing geographic information systems and remote sensing of the Earth is the problem of displaying the received data for visual analysis. Dynamic data are particularly difficult in this regard. In this case, not the current state may be of interest, but the change in data over time. It is very difficult to display such data and their change. At the same time, in some cases, it is the change of some spatial and vegetation indices that can give man a complete picture and allow to make the right decisions. This paper is devoted to the development of methods for displaying changes in the Earth remote sensing data based on automatically placed markers showing the direction and nature of the change. Experiments have shown that such markers make it possible to focus man's attention well on the dynamics of changes and improve the visual perception of such information. The paper proposes not only an original approach to markers, but also an algorithm for automatic arrangement of these markers on the map, taking into account both remote sensing data and the nature and dynamics of their changes over a certain period of time. This allows to build a fully automated system for preparing visual maps for people. The method of marker formation itself, which combines both color and symbolic information for a sharper image, may also be of interest.

Phased Arrays for Radio Astronomy, Remote Sensing, and Satellite Communications

2018 ◽  
Author(s):  
Karl F. Warnick ◽  
Rob Maaskant ◽  
Marianna V. Ivashina ◽  
David B. Davidson ◽  
Brian D. Jeffs
Keyword(s):  
Remote Sensing ◽  
Radio Astronomy ◽  
Phased Arrays ◽  
Satellite Communications
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