Remote Sensing and GIS Specialist
Provide technical assistance in GIS and remote sensing for agricultural productivity
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Overview
Provide technical assistance in GIS and remote sensing for agricultural productivity
You have:
- University degree in GIS, Geography, Environmental Sciences or related field
- At least 2 years of experience for base level COF and at least one year for base level PSA or at least five years for middle level COF/PSA in spatial data handling and analysis, satellite data processing and management, GIS and remote sensing applications
- Working knowledge (level C) of English, French or Spanish for COF. Working knowledge of English for PSA
- Limited knowledge (level B) of one of the other two or Arabic, Chinese or Russian (for Consultants) is an advantage
- Work experience in programming languages such as R and Python for GIS/RS
- Work experience in international organizations and in projects supporting developing countries
- Work experience on cloud-computing platforms (e.g. SEPAL, Google Earth Engine)
- Work experience on batch-scripting for data processing, geo-statistical packages for automatic classifications
- Work experience on capacity development and knowledge transfer on GIS/RS
- Familiarity with the tools of FAO's Land Cover Classification System (LCCS) standard
Organizational Setting
The Land and Water Division (NSL) aims at enhancing the agricultural productivity and advancing the sustainable use of land and water resources through their improved tenure, management, development and conservation. It addresses the challenges member countries face in ensuring productive and efficient use of land and water resources in order to meet present and future demands for agricultural products, while ensuring the long-term sustainability of the land and water quantity and quality. It promotes equitable access to these natural resources with a view to enhancing productivity, livelihoods and ecosystem services. It provides assistance to member nations in developing policies, programmes, best practices and tools in the fields of irrigation and drainage, soil conservation, drought mitigation, water rights, access to natural resources, and improvement of land markets.
Contracts will be based in FAO HQ (or other location) with required travel for field missions, where relevant.
Reporting Lines
Under the overall supervision of the Director NSL, Land and Water Division, Technical supervision of the Senior Officer of the Geospatial Unit, collaboration with IT Service Division (CSI). When activities are carried out in countries, the incumbent will be required to work in close collaboration with the FAO Representation in the relevant country of assignment, as well as the relevant FAO regional office.
Technical Focus
Geographic Information Systems/Remote Sensing.
Tasks and responsibilities
List of the tasks that the incumbent will undertake include:
• Provide technical assistance in the use of GIS/RS in support of project teams and national and regional offices; • Conduct technical assessment and identification of the most suitable satellite imagery, geospatial datasets and methodological approaches to support specific project’s needs; • Provide technical assistance in developing solutions using geospatial and digital technologies for land and water monitoring in agriculture; • Provide technical assistance in satellite image pre-processing, including mosaicking, stacking, atmospheric corrections, object-based-image-analysis (OBIA) for segmentation and classification; • Provide technical assistance in monitoring land cover following international standards for legend preparation (LCML/ISO 19144-2), including classification, validation and accuracy assessments; • Provide technical assistance in the development of innovative tools such as using cloud-computing platforms (e.g. GEE, SEPAL) and modules based on AI/ML/RS/GIS and big data; • Contribute to national capacity development by preparing guidance on using geospatial information and remote sensing; • Assist in the development and publication of geospatial datasets on land and water resources, agro-climatic resources, vegetation, crop production, emergency impact assessment, at various geographic levels; • Contribute to the development of innovative technical digital agricultural solution to generate timely and efficiently geospatial data in support to agricultural monitoring; • Support innovation in data collection through integrated approaches combining field and remote sensing, list and area frame sampling, for agricultural, land and water monitoring systems, including stratification, selection of sites for field data collection/validation; • Support the collation, standardization, analysis and reporting of geospatial data and metadata from multiple sources in support to the FAO Hand-in-Hand initiative; • Support the capacity development plans on geospatial technologies, including preparation of training and workshop material, preparation of information for meeting and conferences; • Disseminate the geospatial data and metadata produced, in the various media formats (e.g. digital and paper atlas, map layouts, posters); • Prepare technical and scientific reports, papers and guidelines describing the activities, results, conclusions and recommendations on the process and results; and • Perform any other tasks required.
CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING
Minimum Requirements
• University degree in GIS, Geography, Environmental Sciences or related field; • At least 2 years of experience for base level COF and at least one year for base level PSA or at least five years for middle level COF/PSA in spatial data handling and analysis, satellite data processing and management, GIS and remote sensing applications; and • Working knowledge (level C) of English, French or Spanish for COF. Working knowledge of English for PSA.
FAO Core Competencies
• Results Focus • Teamwork • Communication • Building Effective Relationships • Knowledge Sharing and Continuous Improvement
Selection Criteria
• Limited knowledge (level B) of one of the other two or Arabic, Chinese or Russian (for Consultants) is an advantage. • Work experience in programming languages such as R and Python for GIS/RS; • Work experience in international organizations and in projects supporting developing countries • Work experience on satellite image analysis, geospatial data and metadata management and processing • Work experience on cloud-computing platforms (e.g. SEPAL, Google Earth Engine) • Work experience on batch-scripting for data processing, geo-statistical packages for automatic classifications • Work experience on capacity development and knowledge transfer on GIS/RS • Familiarity with the tools of FAO’s Land Cover Classification System (LCCS) standard • Capacity to report results to different audiences.
Potential interview questions
| Can you describe a challenging GIS project you worked on and how you overcame obstacles? | This question assesses your problem-solving skills and ability to handle challenges in GIS projects. | Discuss a specific project, the challenges you faced, and the strategies you employed to resolve them. |
| How do you ensure accuracy when processing satellite images? | The interviewer is looking for your understanding of accuracy in remote sensing tasks. | Pro members can see the explanation. |
| Describe your experience in developing training materials for GIS technologies. | Pro members can see the explanation. | Pro members can see the explanation. |
| What geospatial technologies do you have experience with, and how have you utilized them? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you give an example of how you've contributed to capacity development in GIS/RS? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 1 year ago
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Updated 8 months ago
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Source:
fao.org
