scholarly journals Earth Observation Plan Focuses on User Needs and Measurements

Eos ◽  
2014 ◽  
Vol 95 (37) ◽  
pp. 334-334
Author(s):  
Randy Showstack
Keyword(s):  
Earth Observation ◽  
User Needs ◽  
Observation Plan

Earth Observation Plan Looks Toward Balancing U.S. Federal Priorities

Eos ◽  
2014 ◽  
Vol 95 (33) ◽  
pp. 295-296
Author(s):  
Randy Showstack
Keyword(s):  
Earth Observation ◽  
Observation Plan

scholarly journals An integrated view of data quality in Earth observation

2013 ◽  
Vol 371 (1983) ◽  
pp. 20120072 ◽  
Author(s):  
X. Yang ◽  
J. D. Blower ◽  
L. Bastin ◽  
V. Lush ◽  
A. Zabala ◽  
...  
Keyword(s):  
Quality Management ◽  
Data Quality ◽  
Earth Observation ◽  
User Needs ◽  
Management Approach ◽  
Quality Information ◽  
Data Quality Management ◽  
Quality Review ◽  
Data Infrastructures ◽  
The Subject

Data quality is a difficult notion to define precisely, and different communities have different views and understandings of the subject. This causes confusion, a lack of harmonization of data across communities and omission of vital quality information. For some existing data infrastructures, data quality standards cannot address the problem adequately and cannot fulfil all user needs or cover all concepts of data quality. In this study, we discuss some philosophical issues on data quality. We identify actual user needs on data quality, review existing standards and specifications on data quality, and propose an integrated model for data quality in the field of Earth observation (EO). We also propose a practical mechanism for applying the integrated quality information model to a large number of datasets through metadata inheritance. While our data quality management approach is in the domain of EO, we believe that the ideas and methodologies for data quality management can be applied to wider domains and disciplines to facilitate quality-enabled scientific research.

The HEMERA Balloon Research Infrastructure

2021 ◽  
Author(s):  
Felix Friedl-Vallon ◽  
Philippe Raizonville ◽  
André Vargas ◽  
Kristine Dannenberg ◽  
Marta Albano ◽  
...  
Keyword(s):  
Low Cost ◽  
Ground Surface ◽  
Earth Observation ◽  
Research Infrastructure ◽  
User Needs ◽  
Science Data ◽  
Joint Research ◽  
Validation Data ◽  
Horizon 2020 ◽  
Research Activities

<p>Stratospheric balloons are useful platforms for various research and technology needs. They allow to collect valuable data in many science fields, e.g. atmospheric science and astrophysics; they can be used for demonstrations in preparation of new space and Earth observation missions; they can be used to provide calibration/validation data for Earth observation space missions, or for dropping test objects from the stratosphere.</p><p>Various types of balloons are available, corresponding to different missions: Zero Pressure Balloons (ZPB) for heavy payloads (100 kg to 3 tons) and short to medium duration (1 day to several days), Sounding Balloons (SB) for very light payloads (3 kg).</p><p>Payloads can be flown at various altitudes between the ground surface up to 40 km, according the type of balloon and the kind of mission. Compared to satellites, stratospheric balloons can be operated at relatively low cost and with shorter lead times from the experiment idea to the flight.</p><p>Mid-2017, a new Research Infrastructure called HEMERA has been selected by the European Commission within its programme Horizon 2020. The HEMERA objectives are to:</p><ul><li>Provide better and coordinated balloon access to the troposphere and stratosphere for scientific and technological research, in response to the scientific user needs.</li> <li>Attract new users to enlarge the community accessing the balloon infrastructure and foster scientific and technical collaboration.</li> <li>Enlarge the fields of science and technology research conducted with balloons.</li> <li>Improve the balloon service offered to scientific and technical users through innovative developments.</li> <li>Favour standardization, synergy, complementarities and industrialization through joint developments with greater cost-effectiveness.</li> </ul><p>The project is coordinated by CNES and involves 13 partners in total, from various European entities and Canada. The project was kicked-off in late January 2018 and will be executed during 2018-2022.</p><p>Six ZPB flights with a target payload mass of at least 150 kg are foreseen within HEMERA, offering free of charge access to users and scientists for various science measurements and/or for technology tests. In addition, several SB flights are foreseen. The launch sites will be Esrange in Sweden, Timmins in Canada, for the ZPB and Aire sur l'Adour in France for the SB. The selected experiments will fly on balloons during the years 2019-2022. </p><p>Two Calls for Proposals were planned in the HEMERA project, the first was launched in 2018 and 39 answers from 12 countries have been received; 23 experiments have been selected. 31 answers have been received in the frame of the second call, from 10 countries. In total 39 experiments from 13 countries have been selected. The first HEMERA flights occurred in summer 2019 from Kiruna and Timmins.</p><p>In addition, Open Access to balloon data will be organized in the frame of the Data Center, giving access to science data collected during the flights. Networking activities are planned in order to promote the Infrastructure in the European countries, and Joint Research activities are conducted in order to improve as far as possible the balloon offer in the view of the user needs.</p>

scholarly journals PyTroll: An Open-Source, Community-Driven Python Framework to Process Earth Observation Satellite Data

2018 ◽  
Vol 99 (7) ◽  
pp. 1329-1336 ◽  
Author(s):  
Martin Raspaud ◽  
David Hoese ◽  
Adam Dybbroe ◽  
Panu Lahtinen ◽  
Abhay Devasthale ◽  
...  
Keyword(s):  
Open Source ◽  
Satellite Data ◽  
Earth Observation ◽  
User Needs ◽  
Collaborative Effort ◽  
Information Availability ◽  
The Core ◽  
The Past ◽  
Atmospheric Remote Sensing ◽  
Earth Observation Satellite

AbstractPyTroll (http://pytroll.org) is a suite of open-source easy-to-use Python packages to facilitate processing and efficient sharing of Earth Observation (EO) satellite data. The PyTroll software is intended for both 24/7 real-time operations as well as research and development. PyTroll grew out of the need to provide a resilient and agile platform that can respond quickly to new user needs and new data sources. PyTroll, being open source, stimulates international collaboration, which is vital with the rapid increase of satellite information availability. The PyTroll software development is strongly user driven and has grown over the past eight years from a collaborative effort between the Danish and Swedish national meteorological services to encompass a worldwide community with active contributors. PyTroll is being used at least operationally in the national meteorological services of Denmark, Norway, Sweden, Finland, Germany, Switzerland, Italy, Estonia, and Latvia. However, given its simplicity, minimal demand on user resources, and community-driven approach, it also encourages and facilitates usage of EO data for individual applications. While PyTroll was originally developed to cater to the needs of the atmospheric remote sensing community, it could be equally useful for land and ocean applications and within hydrology. This article provides an overview of PyTroll, with examples showing the capability of some of the core packages.

EURODEMO: End-user needs

2009 ◽  
Vol 17 (3) ◽  
pp. 333-334 ◽  
Author(s):  
David Edwards
Keyword(s):  
User Needs ◽  
End User
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