GEE Coding for GIS Remote Sensing for Shoreline Depletion Analysis
Assist in GEE coding for shoreline depletion analysis
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Overview
Assist in GEE coding for shoreline depletion analysis
You have:
- PhD in GIS is required.
- Must have more than 5 years of work experience, including in GEE coding.
- PhD students majoring in GIS are encouraged to apply.
- Experience in GIS and Remote Sensing.
- Familiarity with Google Earth and ArcGIS for mapping.
Contract
This is a UNV contract. More about UNV contracts.
MDF is a leading community group in Papua New Guinea that for the last 15 years has been involved in carrying out projects addressing the needs of the rural population in Morobe and the rest of the Province in the country.
MDF needs the support of three Online Volunteers who can help to develop GIS GEE coding to help assess the depletion of the shoreline at Lababia Village in Huon District of Morobe Province. The shoreline of different years will be assessed and compared to see if there is depletion in the shorelines in Lababia Village which is a vital nesting site for the endangered leatherback turtle which comes up every year to lay eggs.
To that end, the Online Volunteers support through this assignment will greatly support MDF in achieving its project objective which is to support community projects in the rural community as well as to address climate change and environmental impact on the ecosystem. This collaboration with Online Volunteers will also support MDF to contribute in addressing SDG challenges in PNG.
MDF urgently requires the support of three Online Volunteers to conduct remote sensing to assess shoreline depletion in Lababia Village located in Huon Guld District of Morobe Province.
Online Volunteer One and Two: - GEE Coding Collaboration: The volunteers will work together to develop the Google Earth Engine (GEE) coding needed for the shoreline depletion assessment. - Research and Data Collection: The volunteers will spend time researching and gathering relevant data for the shoreline depletion assessment. This includes finding satellite images and other geographical data that can be used in the GEE coding. - Coding and Scripting: Write the GEE scripts needed to process and analyze the data. This involves several iterations of coding, testing, and refining the scripts to ensure accuracy and efficiency. - Data Visualization: Creating visualizations such as maps or graphs to represent the shoreline changes. This could also include setting up dashboards or reports that can be easily shared with stakeholders. - Communication: Regular communication with the contact person for MDF to receive guidance and updates.
Online Volunteer Three: - Code Review: Thoroughly reviewing the GEE scripts developed by Volunteers One and Two. This includes checking for errors, optimizing performance, and ensuring the code follows best practices. - Testing and Validation: Running multiple tests to validate the accuracy of the results generated by the GEE scripts. This could involve comparing the results with historical data or other sources. - Shoreline Analysis: Conducting detailed analysis using the GEE code to identify and measure shoreline depletion. This might involve running complex algorithms and interpreting the results. - Feedback and Improvement: Providing feedback to Volunteers One and Two, suggesting improvements or adjustments based on the test results. - Assistance and Support: Assisting with any troubleshooting or technical challenges that arise during the coding and analysis process. - Communication: Regular communication with the contact person for MDF to receive guidance and updates.
Overall tasks: - Regular Updates: All volunteers will be expected to provide regular updates on their progress. - Reference and Certification: Upon completion of the task, all volunteers will receive a reference from MDF and certification through the Unified Volunteering Platform. - Collaboration: Effective collaboration and clear communication between all volunteers to ensure the success of the project.
GIS and Remote Sensing. Mapping using Google Earth, and ArcGIS to name a few. Have more than 5 years of work experience, including in CEE Coding. Must have a PhD in GIS. PhD Students majoring in GIS are encouraged to apply.
Potential interview questions
| Can you describe your past experience with GIS and remote sensing projects? | This question assesses your background and suitability for the role. | Provide specific examples of projects you have worked on that relate to GIS and remote sensing. |
| How do you approach coding and scripting for GIS analysis? | The interviewer wants to understand your technical skills and methodology. | Pro members can see the explanation. |
| What strategies do you use for data collection and research in GIS? | Pro members can see the explanation. | Pro members can see the explanation. |
| How would you communicate complex GIS findings to non-technical stakeholders? | Pro members can see the explanation. | Pro members can see the explanation. |
| What are the key considerations when conducting shoreline analysis using GIS? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 4 months ago
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Updated 22 days ago
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Source:
unv.org
