GEE Coding for GIS Remote Sensing for Shoreline Depletion Analysis

Volunteering

Overview

Assist in GEE coding for assessing shoreline depletion.

You have:

• Familiarity in GIS and Remote Sensing.
• Experience in mapping using Google Earth, and ArcGIS.
• 5 years of work experience, including in CEE Coding.
• PhD in GIS is desirable.
• PhD Students majoring in GIS are encouraged to apply.

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.

The candidate should have: - Familiarity in GIS and Remote Sensing. - Experience in mapping using Google Earth, and ArcGIS to name a few. - 5 years of work experience, including in CEE Coding. - PhD in GIS is desirable.

PhD Students majoring in GIS are encouraged to apply.

Apply now

Potential interview questions

Added 1 year ago - Updated 1 year ago - Source: unv.org