The CEO Initiatives to Collect and Analyze User Requirements for Earth Observation

2000 ◽  
pp. 15-28
Author(s):  
J. Verdebout
Keyword(s):  
Earth Observation ◽  
User Requirements

Bridging the gap between Big Earth data users and future (cloud-based) data systems - Towards a better understanding of user requirements of cloud-based data systems

2020 ◽  
Author(s):  
Julia Wagemann ◽  
Stephan Siemen ◽  
Jörg Bendix ◽  
Bernhard Seeger
Keyword(s):  
Data Access ◽  
Google Earth ◽  
Earth Observation ◽  
Environmental Data ◽  
User Requirements ◽  
Observation Data ◽  
Data Systems ◽  
Data Services ◽  
Study Results ◽  
The Future

<p>The European Commission’s Earth Observation programme Copernicus produces an unprecedented amount of openly available multi-dimensional environmental data. However, data ‘accessibility’ remains one of the biggest obstacles for users of open Big Earth Data and hinders full data exploitation. Data services have to evolve from pure download services to offer an easier and more on-demand data access. There are currently different concepts explored to make Big Earth Data better accessible for users, e.g. virtual research infrastructures, data cube technologies, standardised web services or cloud processing services, such as the Google Earth Engine or the Copernicus Climate Data Store Toolbox. Each offering provides different types of data, tools and functionalities. Data services are often developed solely satisfying specific user requirements and needs.</p><p>For this reason, we conducted a user requirements survey between November 2018 and June 2019 among users of Big Earth Data (including users of Earth Observation data, meteorological and environmental forecasts and other geospatial data) to better understand user requirements of Big Earth Data. To reach an active data user community for this survey, we partnered with ECMWF, which has 40 years of experience in providing data services for weather forecast data and environmental data sets of the Copernicus Programme.</p><p>We were interested in which datasets users currently use, which datasets they would like to use in the future and the reasons why they have not yet explored certain datasets. We were interested in the tools and software they use to process the data and what challenges they face in accessing and handling Big Earth Data. Another part focused on future (cloud-based) data services and there, we were interested in the users’ motivation to migrate their data processing tasks to cloud-based data services and asked them what aspects of these services they consider being important.</p><p>While preliminary results of the study were released last year, this year the final study results are presented. A specific focus will be put on users’ expectation of future (cloud-based) data services aligned with recommendations for data users and data providers alike to ensure the full exploitation of Big Earth Data in the future.</p>

scholarly journals Development of the User Requirements for the Canadian WildFireSat Satellite Mission

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5081
Author(s):  
Joshua M. Johnston ◽  
Natasha Jackson ◽  
Colin McFayden ◽  
Linh Ngo Phong ◽  
Brian Lawrence ◽  
...  
Keyword(s):  
Monitoring System ◽  
Wildland Fire ◽  
Earth Observation ◽  
Mission Design ◽  
User Requirements ◽  
User Engagement ◽  
Satellite Mission ◽  
Wildfire Management ◽  
Fire Monitoring ◽  
Space Agency

In 2019 the Canadian Space Agency initiated development of a dedicated wildfire monitoring satellite (WildFireSat) mission. The intent of this mission is to support operational wildfire management, smoke and air quality forecasting, and wildfire carbon emissions reporting. In order to deliver the mission objectives, it was necessary to identify the technical and operational challenges which have prevented broad exploitation of Earth Observation (EO) in Canadian wildfire management and to address these challenges in the mission design. In this study we emphasize the first objective by documenting the results of wildfire management end-user engagement activities which were used to identify the key Fire Management Functionalities (FMFs) required for an Earth Observation wildfire monitoring system. These FMFs are then used to define the User Requirements for the Canadian Wildland Fire Monitoring System (CWFMS) which are refined here for the WildFireSat mission. The User Requirements are divided into Observational, Measurement, and Precision requirements and form the foundation for the design of the WildFireSat mission (currently in Phase-A, summer 2020).

Geomorphology from Earth Orbit 1957-2000

2021 ◽  
pp. M58-2020-27
Author(s):  
Frank D. Eckardt
Keyword(s):  
New Technology ◽  
Image Data ◽  
Radar Data ◽  
Earth Observation ◽  
Anthropogenic Activity ◽  
User Requirements ◽  
Data Volume ◽  
Legacy Data ◽  
Early Photography ◽  
Data Requirements

AbstractThis chapter examines the technical capabilities of orbital earth observation sensors and considers associated geomorphic user requirements between 1957-2000. Early photography from space provides much promise which is followed by successive dedicated satellite missions. These produce data at ever greater spatial and spectral resolution as well as frequency starting with Landsat 1 in 1972. Users especially in the arid and polar community are drawing on this new technology. However, the wider uptake of data derived from passive systems such as Landsat and other such sensors by geomorphologists is sporadic, due to the mismatch between data requirements and systems specifications. Limitations to most geomorphologists would have included data cost, given that even Landsat data was not always freely available, as well as data volume and processing capabilities, which favoured governmental scientists. Active radar data on some levels fulfilled the geomorphic requirements such as retrieval of form, texture as well as height. Unfortunately processing of such image data required significant technical capabilities and was not easy to interpret, given numerous variables associated with the backscatter of the microwave signal. Early earth observation missions were deployed at a time when the full extent of global change, driven by anthropogenic activity had not been fully comprehended. However, older legacy data is now of profound value, since it provides a comparative baseline against which change can be quantified. The study period also saw the gradual transfer of military GPS capabilities to the civilian sector, which facilitated field activities and geometric correction of imagery.

scholarly journals Selection of the Key Earth Observation Sensors and Platforms Focusing on Applications for Polar Regions in the Scope of Copernicus System 2020–2030

2019 ◽  
Vol 11 (2) ◽  
pp. 175 ◽  
Author(s):  
Estefany Lancheros ◽  
Adriano Camps ◽  
Hyuk Park ◽  
Pedro Rodriguez ◽  
Stefania Tonetti ◽  
...  
Keyword(s):  
Weather Forecast ◽  
Earth Observation ◽  
Use Cases ◽  
User Requirements ◽  
Polar Regions ◽  
Fishing Pressure ◽  
Time Period ◽  
Hydric Stress ◽  
Space Infrastructure ◽  
Selection Of

An optimal payload selection conducted in the frame of the H2020 ONION project (id 687490) is presented based on the ability to cover the observation needs of the Copernicus system in the time period 2020–2030. Payload selection is constrained by the variables that can be measured, the power consumption, and weight of the instrument, and the required accuracy and spatial resolution (horizontal or vertical). It involved 20 measurements with observation gaps according to the user requirements that were detected in the top 10 use cases in the scope of Copernicus space infrastructure, 9 potential applied technologies, and 39 available commercial platforms. Additional Earth Observation (EO) infrastructures are proposed to reduce measurements gaps, based on a weighting system that assigned high relevance for measurements associated to Marine for Weather Forecast over Polar Regions. This study concludes with a rank and mapping of the potential technologies and the suitable commercial platforms to cover most of the requirements of the top ten use cases, analyzing the Marine for Weather Forecast, Sea Ice Monitoring, Fishing Pressure, and Agriculture and Forestry: Hydric stress as the priority use cases.

Developing Food Sensory Analysis Information System using Waterfall Software Engineering Model

2017 ◽  
Vol 4 (2) ◽  
pp. 63-81
Author(s):  
Stefanus Oliver ◽  
Abdullah Muzi Marpaung ◽  
Maulahikmah Galinium
Keyword(s):  
Software Engineering ◽  
Sensory Analysis ◽  
Acceptance Testing ◽  
Design Activity ◽  
User Requirements ◽  
Human Errors ◽  
Web Based ◽  
Entity Relationship ◽  
Entity Relationship Diagram ◽  
Analysis System

Food sensory analysis is the terms from the field of Food Technology that has a meaning which means sensory evaluation of food that is conducted by the food sensory evaluators. Currently, food sensory analysis is conductedmanually. It can caus e human errors and consume much ti me. The objective of this research is to build a web based application that is specific for food sensory analysis using PHP programming language. This research followsfour first steps of waterfall software engineering mod el which are user requirements ana lysis (user software and requirements analysis), system design (activity, use cases, architecture, and entity relationship diagram),implementation (software development), and testing (software unit, functionality, validit y, and user acceptance testing). T he software result is well built. It is also acceptable for users and all functionality features can run well after going through those four software testing. The existence of the software brings easiness to deal with the manual food sensory analysis exper iment. It is considered also for the future it has business value by having open source and premium features.

Space imaging radar in planetary exploration and Earth observation

AIAA Journal ◽  
2001 ◽  
Vol 39 ◽  
pp. 553-563
Author(s):  
Charles Elachi
Keyword(s):  
Earth Observation ◽  
Planetary Exploration ◽  
Imaging Radar
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