Forest GIS, Remote Sensing & MRV Specialist

Food and Agriculture Organization of the United Nations

Jakarta Pusat

Sur place

IDR 180 000 000 - 260 000 000

Plein temps

Il y a 10 jours

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Résumé du poste

Food and Agriculture Organization of the United Nations (FAO) in Indonesia seeks a GIS/Remote Sensing and MRV Specialist to support NFMS, NFI 2.0 and MERANTI activities. The role involves managing geospatial data, processing satellite imagery and linking field data with space-based datasets to improve forest monitoring and carbon accounting.

You will work under FAO Indonesia representations, collaborating with national authorities, consultants and technical teams to ensure data interoperability

Qualifications

  • Bachelor's degree in Geography, Geodesy, Geomatics, Forestry, Environmental Science or a related field.
  • Minimum 5 years of relevant GIS/remote sensing experience.
  • Working knowledge of English and Bahasa Indonesia (written and spoken).
  • Indonesian nationality.

Responsabilités

  • Manage and maintain GIS databases, datasets and spatial layers for NFMS, NFI 2.0 and MRV activities.
  • Provide GIS support for NFI 2.0 implementation including plotting, sampling and mapping.
  • Process satellite imagery and other remotely sensed data for forest monitoring and MRV.
  • Integrate field data with GIS, satellite data and LiDAR for NFMS analyses.
  • Produce GIS outputs and QA/QC maps; document workflows and tools used (SEPAL, Google Earth Engine).
  • Provide technical assistance to national consultants and coordinate with project teams.

Connaissances

GIS
Remote Sensing
Spatial Data Management
English / Bahasa Indonesia

Formation

Bachelor's degree in Geography or related field

Outils

SEPAL
Google Earth Engine

Description du poste

Food and Agriculture Organization of the United Nations (FAO) in Indonesia seeks a GIS/Remote Sensing and MRV Specialist to support NFMS, NFI 2.0 and MERANTI activities. The role involves managing geospatial data, processing satellite imagery and linking field data with space-based datasets to improve forest monitoring and carbon accounting.

You will work under FAO Indonesia representations, collaborating with national authorities, consultants and technical teams to ensure data interoperability

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