Awards & Nominations
Accenture - Space Analytics has received the following awards and nominations. Way to go!
Global Nominee
WATER QUALITY
High-Level Project Summary
The project refers to the use of Earth Observation data and the enhancement of the available Applications with valuable and actionable insights . Our project develops an application which gathers, processes and analyzes Earth Observation data for the monitoring and forecasting of the Water Quality.Challenge Solving:1. Identified data quality issues - developed a data-processing program2. Developed a Water Quality Data Analysis program3, Developed Water Quality Index4, Timeseries Forecasting model developed5. Developed Interactive toolThe project is valuable since the Application is critical for environmental purposes and business-decision making with a "Green" approach and mindset.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
"What exactly does it do? " AND "How does it work ?"
We have developed a program which retrieves Earth Observation data and provides valuable and actionable insights as well as prediction regarding the Water Quality.
A summary - roadmap of the project:
- Developed program to get Earth Observation data regarding the Water Quality (Turbidity, PH, Chlorophyl, Dissolved Oxygen, Water Temperature) for EU Copernicus without any manual effort
- Data management process to fix the data issues
- Water Quality Index creation as a composite score from all the individual Water Attributes
- Water Quality Index forecasting Algorithm
- Interactive Tool (Dashboards ) development
"What benefits does it have?" & "What do you hope to achieve? "
The Application gathers and analyzes individual Water attributes providing the bigger picture of the Water Conditions and Quality. The application offers Water Quality monitoring and forecasting capabilities providing actionable information to support Green decision-making across multiple industries: tourism, shipping, fishing, science, nonprofits etc. Thus, our inspiration is to industrialize our Solution to support the Water Quality monitoring, biodiversity maintaining action plans and Green decision-making enhancement.
"What tools, coding languages, hardware, or software did you use to develop your project?"
- Python
- PowerBi
Space Agency Data
We got European Space Agency - Copernicus Earth Observation data regarding the Water Quality.
We used the data for:
- Data Analysis
- Predictive Models - Timeseries Forecasting
- Reporting purposes in the developed Interactive Tool
How the data inspired the project:
Copernicus interface provides a global map and we realized that we should focus on Water Analysis, since the Water covers the 71% of the planet and plays a key role to the ecosystem and climate change. Starting exploring the data we realized that each attributes comes with some "data-quality" related issues and we decided to work on the data management providing actionable insights and predictions.
Hackathon Journey
How would you describe your Space Apps experience?
It is a great journey understanding the Universe the most, our relation with Earth planet, how all the different sciences and arts can contribute to the Universe Understanding.
What did you learn?
All the hands (all the different profiles) can contribute to the Life , Earth and Universe understanding. Each view can unlock new inspirations and ideas.
What inspired your team to choose this challenge?
The challenge offers the opportunity to meet and understand people from different backgrounds that can support a better Future for planet Earth and its ecosystem.
What was your approach to developing this project?
- We started by agreeing the scope which was the Water Quality monitoring as critical component of the Earth ecosystem and the challenges of data collection
- We analyzed the data identifying opportunities for Data Analysis actionable insights and predictions
How did your team resolve setbacks and challenges? by reviewing bibliography from both technical and functional challenges
Is there anyone you'd like to thank and why?
Mentors provided valuable suggestions and clarifications
References
- Copernicus data
- Python
- PowerBI
- PowerPoint
- Publicly available photos
Tags
#application #interactivetool #developers #earth #water #data #datanalysis #datanalaytics