Mangrove Cover Mapping, Biomass estimation and Shoreline Analysis Using Drones and Remote Sensing
Join as an online volunteer for mangrove cover mapping.
This opening expired 3 years ago.
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Overview
Join as an online volunteer for mangrove cover mapping.
You have:
- Experience handling remotely-sensed satellite and drone data.
- Expertise in related software (e.g., ArcGIS, QGIS, Agisoft).
- PhD or Master's degree or equivalent (e.g., bachelor's degree with 3+ years) in an area related to remote sensing, forestry, meteorology, or climate change.
- Demonstrated experience with mangrove ecosystems.
- Ability to be attentive, responsive, and proactive.
Contract
This is a UNV contract. More about UNV contracts.
Morobe Development Foundation Inc. is a not-for-profit organization based in Papua New Guinea and was established to promote sustainable community development initiatives and thereby address several exigent issues – ranging from environmental conservation to women rights – that are hindering the progress of the country. Few of our ongoing projects focus on applications of various remote sensing technologies for monitoring forest biomass, tracking land use land change patterns, evaluating climate change impacts and conserving sea turtle habitats. We are currently looking for three online volunteers with experience in handling remotely-sensed satellite and drone data who can help us with Mangrove Cover Mapping and Above-ground Biomass estimation (approximately 15-20 hours per week).
Morobe Development Foundation Inc. is looking for three online volunteers who have expertise handling remotely-sensed satellite and drone data (such as open-source satellite imagery, Orthomosaic Map, 3D model or point cloud, Elevation Map, Digital terrain model. Digital surface model, Topographic), related software (such as ArcGIS, QGIS, Agisoft etc) and a background in the field of remote sensing, forestry (especially mangrove ecosystems), climate, or related fields. Selected volunteers would be expected to perform Mangrove Cover Mapping, shoreline analysis and Above-ground Biomass estimation using Remotely-sensed Drone and Satellite Data along with field data for a chosen site in Papua New Guinea. Experience with machine learning, data fusion and/or deep learning is preferred. The analysis results will be included in a peer-reviewed journal article, and based on the level of contributions, the volunteers would be acknowledged (with a certificate) and/or invited to be a co-author.
The ideal candidates should have demonstrated experience with handling remotely-sensed satellite and drone data (such as open-source satellite imagery, Orthomosaic Map, 3D model or point cloud, Elevation Map, Digital terrain model. Digital surface model, Topographic), related software (such as ArcGIS, QGIS, Agisoft etc) and have a PhD or Master’s degree or equivalent (e.g. bachelor degree with 3+ years) in an area related to remote sensing, forestry (especially mangrove ecosystems), meteorology, climate change, or related fields. Must have good communication and be very attentive, responsive and proactive, as our projects are very fast paced. Please apply with your CV, which includes a section (~ 200 words) highlighting your experience and why you would be the best candidate for this role. Without the aforementioned information, the applicant wouldn’t be considered for this position.
Potential interview questions
| Can you describe a project where you utilized remotely-sensed data? | This question helps assess your practical experience with remote sensing technologies. | Provide specific examples of projects, the data used, and the outcomes. |
| What software tools have you used for remote sensing analysis? | Understanding your familiarity with relevant software is crucial for this role. | Pro members can see the explanation. |
| How do you handle tight deadlines when working on data analysis? | Pro members can see the explanation. | Pro members can see the explanation. |
| What are the key considerations when mapping mangrove ecosystems? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you give an example of a collaboration in a fast-paced project? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 3 years ago
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Updated 1 year ago
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Source:
unv.org
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