scholarly journals The Impact on Geographic Location Accuracy due to Different Satellite Orbit Ephemerides

2009 ◽  
Vol 2009 ◽  
pp. 1-9
Author(s):  
Claudia C. Celestino ◽  
Cristina T. Sousa ◽  
Wilson Yamaguti ◽  
Helio Koiti Kuga
Keyword(s):  
Data Collection ◽  
Geographic Location ◽  
Satellite Orbit ◽  
Environmental Data ◽  
Location Accuracy ◽  
Doppler Shifts ◽  
Precise Ephemeris ◽  
Doppler Data ◽  
Important Input ◽  
The Impact

The current Brazilian System of Environmental Data Collection is composed of several satellites (SCD-1 and 2, CBERS-2 and 2B), Data Collection Platforms (DCPs) spread mostly over the Brazilian territory, and ground reception stations located in Cuiabá and Alcântara. An essential functionality offered to the users is the geographic location of these DCPs. The location is computed by the in-house developed “GEOLOC” program which processes the onboard measured Doppler shifts suffered by the signal transmitted by the DCPs. These data are relayed and stored on ground when the satellite passes over the receiving stations. Another important input data to GEOLOC are the orbit ephemeris of the satellite corresponding to the Doppler data. In this work, the impact on the geographic location accuracy when using orbit ephemeris which can be obtained through several sources is assessed. First, this evaluation is performed by computer simulation of the Doppler data, corresponding to real existing satellite passes. Then real Doppler data are used to assess the performance of the location system. The results indicate that the use of precise ephemeris can improve the performance of GEOLOC by reducing the location errors, and such conclusion can then be extended to similar location systems.

scholarly journals Evaluation of Tropospheric and Ionospheric Effects on the Geographic Localization of Data Collection Platforms

2007 ◽  
Vol 2007 ◽  
pp. 1-11 ◽  
Author(s):  
C. C. Celestino ◽  
C. T. Sousa ◽  
W. Yamaguti ◽  
H. K. Kuga
Keyword(s):  
Data Collection ◽  
Geographical Location ◽  
Geographic Location ◽  
Low Earth Orbit ◽  
Environmental Data ◽  
Collection System ◽  
Data Collection System ◽  
Doppler Shifts ◽  
Low Earth Orbit Satellites

The Brazilian National Institute for Space Research (INPE) is operating the Brazilian Environmental Data Collection System that currently amounts to a user community of around 100 organizations and more than 700 data collection platforms installed in Brazil. This system uses the SCD-1, SCD-2, and CBERS-2 low Earth orbit satellites to accomplish the data collection services. The main system applications are hydrology, meteorology, oceanography, water quality, and others. One of the functionalities offered by this system is the geographic localization of the data collection platforms by using Doppler shifts and a batch estimator based on least-squares technique. There is a growing demand to improve the quality of the geographical location of data collection platforms for animal tracking. This work presents an evaluation of the ionospheric and tropospheric effects on the Brazilian Environmental Data Collection System transmitter geographic location. Some models of the ionosphere and troposphere are presented to simulate their impacts and to evaluate performance of the platform location algorithm. The results of the Doppler shift measurements, using the SCD-2 satellite and the data collection platform (DCP) located in Cuiabá town, are presented and discussed.

scholarly journals An Environmental Data Collection for COVID-19 Pandemic Research

Data ◽  
2020 ◽  
Vol 5 (3) ◽  
pp. 68 ◽  
Author(s):  
Qian Liu ◽  
Wei Liu ◽  
Dexuan Sha ◽  
Shubham Kumar ◽  
Emily Chang ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Storage ◽  
Implementation Strategies ◽  
Viral Disease ◽  
Environmental Data ◽  
Weather Factors ◽  
Mean Values ◽  
Task Forces ◽  
Global Mapping ◽  
The Impact

The COVID-19 viral disease surfaced at the end of 2019 and quickly spread across the globe. To rapidly respond to this pandemic and offer data support for various communities (e.g., decision-makers in health departments and governments, researchers in academia, public citizens), the National Science Foundation (NSF) spatiotemporal innovation center constructed a spatiotemporal platform with various task forces including international researchers and implementation strategies. Compared to similar platforms that only offer viral and health data, this platform views virus-related environmental data collection (EDC) an important component for the geospatial analysis of the pandemic. The EDC contains environmental factors either proven or with potential to influence the spread of COVID-19 and virulence or influence the impact of the pandemic on human health (e.g., temperature, humidity, precipitation, air quality index and pollutants, nighttime light (NTL)). In this platform/framework, environmental data are processed and organized across multiple spatiotemporal scales for a variety of applications (e.g., global mapping of daily temperature, humidity, precipitation, correlation of the pandemic to the mean values of climate and weather factors by city). This paper introduces the raw input data, construction and metadata of reprocessed data, and data storage, as well as the sharing and quality control methodologies of the COVID-19 related environmental data collection.

scholarly journals About creation of a hybrid multi-level atmospheric air monitoring system in the Republic of Tatarstan

2020 ◽  
Vol 2 (3) ◽  
pp. 96-103
Author(s):  
Oleg Trofimov ◽  
Andrey V. Rubezhov ◽  
Maria Kraft ◽  
Andrey V. Udaltsov
Keyword(s):  
Data Collection ◽  
Monitoring System ◽  
General Scheme ◽  
Legal Framework ◽  
Air Monitoring ◽  
Environmental Data ◽  
Atmospheric Air ◽  
Multi Level ◽  
The Republic ◽  
The Impact

The existing system of instrumental monitoring of the state of atmospheric air in the Republic of Tatarstan systematically reveals the facts of unsatisfactory quality of atmospheric air, in this connection, special attention has been paid to the work on regulating the impact of emissions on atmospheric air by means of calculated monitoring. The article notes that by now all the necessary legal framework has been created for creating a hybrid multi-level atmospheric air monitoring system in the Republic of Tatarstan. The paper provides a justification for the need to implement a hybrid multi-level atmospheric air monitoring system for three levels: the level "Enterprise" or "group of enterprises", the level" Municipality", the level"Subject of the Russian Federation the Republic of Tatarstan". The General scheme of the organization of environmental data collection in the Republic of Tatarstan and the scheme of the integrated architecture of the environmental data collection system are presented. The results of the implementation of a hybrid multi-level atmospheric air monitoring system in the environmental policy of the Republic of Tatarstan are presented

Analysis and improvement of the Bancroft algorithm for GNSS satellite orbit determination

2021 ◽  
Author(s):  
Yongchang Chen ◽  
Chuanzhen Sheng ◽  
Qingwu Yi ◽  
Ran Li ◽  
Guangqing Ma ◽  
...  
Keyword(s):  
Orbit Determination ◽  
Satellite Orbit ◽  
Three Dimensions ◽  
Single Frequency ◽  
Precise Ephemeris ◽  
Accuracy Level ◽  
Receiver Clock ◽  
The Impact ◽  
Clock Offset ◽  
Initial Orbit

Abstract Satellite orbit information is crucial for ensuring that global navigation satellite systems (GNSSs) provide appropriate positioning, navigation and timing services. Typically, users can obtain access to orbit information of a specific accuracy level from navigation messages or precise ephemeris products. Without this information, a system will not be able to provide normal service. In response to this problem, initial orbit information of a certain level of precision must be obtained to support subsequent applications, such as broadcasting or precise ephemeris calculations, thereby ensuring the successful subsequent operation of the navigation system. One of two ways to calculate the initial orbit of a GNSS satellite is to utilize ground tracking stations to observe satellite vector information in the geocentric inertial system; the second way is to utilize GNSS range observations and known orbit information from other satellites. For the second approach, some researchers use the Bancroft algorithm combined with receiver clock offset to determine the initial orbit of GNSS satellites. Because this method requires an additional known receiver clock offset, we study the dependence of the Bancroft algorithm on clock offset in GNSS orbit determination. By assessing the impact of errors of different magnitude on the accuracy of the orbit results, we obtain experimental conclusions. After comprehensively analyzing various errors, we determine the accuracy level that the Bancroft algorithm can achieve for orbit determination without considering receiver clock correction. Dual-frequency and single-frequency pseudorange data from IGS stations are used in orbit determination experiments. When a small receiver clock offset is considered and no correction is made, the deviations in the calculated satellite positions in three dimensions are approximately 979.3 and 1118.1 meters (dual and single frequency); with a satellite clock offset, these values are approximately 928.8 and 1062.7 meters (dual and single frequency).

LESSONS LEARNED: THE CASE FOR DATA OPTIMIZATION BETWEEN RESPONSE AND NRDA

2017 ◽  
Vol 2017 (1) ◽  
pp. 3134-3150
Author(s):  
Laurie Benton ◽  
Linda Cook ◽  
Bob Haddad ◽  
Paul Boehm
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Oil Spill ◽  
Spatial Scales ◽  
Lessons Learned ◽  
Environmental Data ◽  
Third Party ◽  
Multiple Uses ◽  
The Impact ◽  
Data Optimization

ABSTRACT 2017-284: Over the past decade, three realizations have evolved from our collection and analysis of oil spill data. First is that more response data are being collected than ever before, including field and laboratory measurements in addition to observational data. To process this diverse information, we use sophisticated computer-based systems that allow us to integrate, analyze, and visualize satellite imagery, real-time weather and ship locations, field notes (e.g., shoreline cleanup assessment technique [SCAT] data), chemistry data, and photos. The second is the increased political and social interest in spills. Increased use of social media and the impact of these information pathways on the public’s perception of the spill response can drive real political decisions; making spill communications based on timely and high data quality critical. Lastly is the growing linkages between the collection, management, and uses of environmental data, not only for spill response, but also for NRD assessment (NRDA), determination of civil penalties (e.g., the Clean Water Act [CWA]), and third party legal claims. For example, observational and remote sensing data collected for response actions will ultimately be used to understand questions about contaminant pathways and exposures inherent to NRDA. Similarly, data collected as part of response mitigation and cleanup needs often provides our earliest understanding of the potential and actual natural resource damage issues, which are important for NRDA, third party claims, and CWA penalty mitigation. Historically, the inherent differences in temporal and spatial scales over which oil spill data are collected and used, coupled with the requirements of data quality, usability, and/or provenance, diminishes the ability to effectively optimize collection and uses of these data. Data optimization recognizes that data can/will have multiple uses and thus requires all data, whether response or NRDA-related to be of high and equivalent quality and be based on compatible, if not identical, data quality objectives (DQOs). In this paper, we review several examples that underscore the need for data optimization in environmental data collection. Specifically, we will explore how a focus on the long view and the need for data optimization can drive the collection of appropriate and multipurpose data, as well as inform the structure of data management systems. Using specific examples, we will demonstrate the value of embracing a data optimization framework in developing a common sample/data collection imperative that facilitates multiple uses.

Lessons learned from working with windstorm-related impact data

2021 ◽  
Author(s):  
Ilona Láng ◽  
Antti Mäkelä
Keyword(s):  
Data Collection ◽  
Early Warning Systems ◽  
Lessons Learned ◽  
Environmental Data ◽  
Strong Wind ◽  
Civil Protection ◽  
Worst Case ◽  
Socioeconomic Impacts ◽  
Impact Data ◽  
The Impact

<p>Strong wind related to extratropical cyclones causes severe socioeconomic impacts every year in Europe. Especially in highly forested countries, such as Finland, the civil protection, insurance companies and energy sector are strongly affected by windstorms. Falling trees cause damage to the properties and transmission lines, interrupt the traffic and in the worst case can even cause fatalities. With better preparedness measures, such as highly developed early warning systems (EWSs), windstorm impacts can be reduced significantly.</p><p>For better preparedness and mitigation of storm impacts, it is essential to understand the windstorm and environmental features which contribute to the damages. Wind speed and gusts alone do not always explain why the windstorm is or is not causing disturbances in the society. To increase the understanding of the processes that lead to windstorm impacts, it is crucial to use additional data alongside the traditional meteorological data sources. There is high potential in combining wind impact data (e.g. electricity interruption records or emergency calls) with meteorological parameters to develop tools, for instance as a part of EWSs for crisis decision making. Such tools can help the civil protection or energy companies to prepare for the windstorm with sufficient human resources and other precautionary measures, which ultimately reduces impacts and increases the resilience of the society. Additionally, impact database can benefit the forecasters in their daily work with weather warnings or researchers with easier access to impact data. </p><p>Impact database development has been done for instance on a national scale in SILVA project (2020-2021, Finnish National Emergency Supply Agency and Finnish Meteorological Institute) and on a pan-European scale in LODE project (2018-2021, the European Commission – DG ECHO). In this work we aim to share the lessons we learned in the impact data collection and processing, and the possibilities to connect the socioeconomic impacts with windstorms. We highlight especially how the quality and comprehensiveness of the impact data are the key factors in the development of wind impact tools. For example, to be able to identify significant trends in windstorm impacts, a sufficient temporal coverage and data homogeneity of the datasets are essential. The centralisation of the data collection is an additional important aspect: a centralised impact database maintained by one research organisation can be a solution to store and combine different types of impact data and connect it with the relevant meteorological or environmental data (e.g. forest or land use data).</p>

INDONESIA LANGUAGE INTERFERENCE FORM IN BASIC PPL LEARNING THAILAND UNHASY COLLEGE SYUDENTS

2020 ◽  
Vol 8 (2) ◽  
pp. 38
Author(s):  
Siti Mariana Ulfa
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Collection ◽  
Teaching Practice ◽  
Data Presentation ◽  
Analysis Techniques ◽  
Thai Students ◽  
The Impact ◽  
Collection Methods ◽  
Recording Techniques

AbstractHumans on earth need social interaction with others. Humans can use more than one language in communication. Thus, the impact that arises when the use of one or more languages is the contact between languages. One obvious form of contact between languages is interference. Interference can occur at all levels of life. As in this study, namely Indonesian Language Interference in Learning PPL Basic Thailand Unhasy Students. This study contains the form of interference that occurs in Thai students who are conducting teaching practices in the classroom. This type of research is descriptive qualitative research that seeks to describe any interference that occurs in the speech of Thai students when teaching practice. Data collection methods in this study are (1) observation techniques, (2) audio-visual recording techniques using CCTV and (3) recording techniques, by recording all data that has been obtained. Whereas the data wetness uses, (1) data triangulation, (2) improvement in perseverance and (3) peer review through discussion. Data analysis techniques in this study are (1) data collection, (2) data reduction, (3) data presentation and (4) conclusions. It can be seen that the interference that occurs includes (1) interference in phonological systems, (2) interference in morphological systems and (3) interference in syntactic systems. 

Tourism Development in the South Pacific: The Cases of Nauru and Tuvalu

2019 ◽  
Vol 39 (1) ◽  
Author(s):  
Nick Towner ◽  
Semisi Taumoepeau
Keyword(s):  
Swot Analysis ◽  
Tourism Development ◽  
Geographic Location ◽  
South Pacific ◽  
The South ◽  
South Pacific Ocean ◽  
Economic Survival ◽  
Processing Centre ◽  
Remote Island ◽  
The Impact

Abstract Tuvalu and Nauru are isolated developing island nations located in the South Pacific Ocean. In contrast to the established larger Pacific destinations such as Fiji and Tahiti, the tourism industries on both Tuvalu and Nauru are in their infancy. Tourism development in these remote island nations faces a myriad of challenges which include a lack of infrastructure, environmental susceptibility, economic vulnerability, difficulties with access and considerable distances from major tourist markets. This paper reviews tourism on Tuvalu and Nauru and evaluates their current situation regarding potential tourism development through workshops with relevant stakeholders, surveys and subsequent SWOT analysis. The results of the paper outlined a large number of challenges faced by Tuvalu and Nauru due to their geographic location but also highlighted that both Islands possess fascinating and unique features that have the potential to attract niche tourism markets. A key finding of this paper is that the tourism stimulus or potential attraction can also be the chief threat to the islands’ economic survival hence the two edges of the sword. Further research is required to assess the effect of the withdrawal of the Refugee Processing Centre on Nauru’s economy and to evaluate the impact of climate change on Tuvalu’s society and potential adaption strategies.

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