REMOTE SENSING AND GIS SPECIALIST
Support geospatial data management and analysis for agricultural monitoring projects.
Overview
Support geospatial data management and analysis for agricultural monitoring projects.
You have:
- Advanced university degree in GIS, Geography, Environmental Sciences or related field.
- At least one year of experience for base level consultant or at least five years for middle level consultants in spatial data handling and analysis, satellite data processing and management, GIS and remote sensing applications, development of methodology in agricultural/environmental monitoring, and technical report writing/preparation of workshop and training materials.
- Working knowledge of English, French or Spanish, and limited knowledge of one of the other two or Arabic, Chinese or Russian (for Consultants). Working knowledge of English (for PSA.SBS).
Organizational Setting
The Land and Water Division (NSL) provides strategic direction and coordinates FAO’s work on climate adaptation and mitigation, and the sustainable management of natural resources in order to raise profile, strengthen FAO’s work, and enhance its capacity to address these issues in an effective and coordinated manner, and to contribute to ensuring the corporate environment needed for delivering the Organization's strategic objectives, core functions and organizational results.
Contracts will be based in FAO HQ (or other location) with required travel for field missions, where relevant.
Reporting Lines
The Consultants will work under the overall technical supervision of the Head of the Geospatial Unit of the Land and Water Division (NSL), in collaboration with IT Service Division (CSI). When activities are carried out in countries, the consultant 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 consultant will undertake include:
• Technical assessment and identification of the most suitable satellite imagery and geospatial datasets to support the needs of the unit for operational national agricultural monitoring systems, land cover and land use assessments, agro-ecological zoning, ecosystem monitoring, hydrological modeling, watershed assessment and disaster risk reduction; • Support in-country geospatial data preparation for image pre-processing of satellite data, including mosaicking, stacking, atmospheric corrections, object-based-image-analysis (OBIA) for segmentation and classification of land cover datasets; • Contribute to the development of high-resolution national land cover datasets according to the LCML/LCCS ISO standard specifications, including validation and accuracy assessments; • Support the development of area frame methodology, integrated area and list frame methodologies for agricultural, land and water monitoring systems, including stratification, selection of sites for field data collection/validation; • Provide technical support to countries for assessing the vulnerability, disaster risk reduction planning and management, the impacts of natural hazards (drought, flood, fires, landslides) as well as the recovery, monitoring and evaluation of activities; • Contribute, provide technical inputs and develop integrated approaches in support to international, regional and national platforms for earth observation, land cover monitoring, agro-ecological zoning, land evaluation, ecosystem monitoring, disaster risk reduction management; • Support the capacity development plans on geospatial technologies, including preparation of training and workshop material, preparation of information for meeting and conferences; • Support the collation, standardization, analysis and reporting of geospatial data from multiple sources in support to the FAO Hand-in-Hand initiative; • 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; • Perform any other tasks required.
CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING
Minimum Requirements
• Advanced university degree in GIS, Geography, Environmental Sciences or related field; • At least one year of experience for base level consultant or at least five years for middle level consultants in spatial data handling and analysis, satellite data processing and management, GIS and remote sensing applications of for land resources evaluation and/other natural resources studies, development of methodology in the field of agricultural/environmental monitoring (knowledge of land cover FAO methodology will be an asset) and technical report writing and/or preparation of workshop and training materials; • Working knowledge of English, French or Spanish, and limited knowledge of one of the other two or Arabic, Chinese or Russian (for Consultants). Working knowledge of English (for PSA.SBS).
Selection criteria
FAO Core Competencies • Results Focus • Teamwork • Communication • Building Effective Relationships • Knowledge Sharing and Continuous Improvement
Selection Criteria • Work experience in International Organizations and in projects supporting developing Countries • Work experience on geospatial data and metadata management and processing • Work experience on image analysis • Work experience on cloud-computing platforms (e.g. SEPAL, Google Earth Engine) • Work experience on geo-statistical packages for automatic classifications • Work experience on batch-scripting for data processing • Work experience with data scientist packages • Work experience on issues related to land evaluation or land use management and planning • Experience on natural resources management • 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 geospatial project you worked on and how you approached it? | This question assesses your problem-solving skills and ability to overcome challenges in a technical environment. | Be specific about the project, the challenge you faced, and the steps you took to address it. |
| How do you ensure the accuracy and validity of geospatial data in your analyses? | This question evaluates your understanding of data quality and your methods for quality assurance. | Pro members can see the explanation. |
| Explain your experience with cloud computing platforms and how they have been beneficial in your work. | Pro members can see the explanation. | Pro members can see the explanation. |