Remote Sensing Specialist Vacancy
Background Indonesia is developing a national carbon accounting system to provide a comprehensive and credible account of Indonesia’s greenhouse gas emissions from forests and agriculture. The Indonesian National Carbon Accounting System (INCAS) is an operational system that will be run every year and will provide the foundation for transparently measuring and reporting on reductions in emissions from the land sector. This will enable Indonesia to participate in an international mechanism to reduce emissions from deforestation and forest degradation in developing countries (known as REDD+).
The INCAS is being developed in a phased approach, tarting with coverage of forest land in Kalimantan and expanding to full national coverage. Annual land cover change analysis for the period from 2000 to 2009 has already been completed using Landsat data, and a detailed work plan has been developed to quantify changes in carbon stocks in forests subject to deforestation and forest degradation. A team of biomass specialists has commenced work to collate and analyze forest inventory and biomass data for Kalimantan.
In order to effectively deliver the biomass work and integrate with the land cover change analysis, a qualified Indonesian national GIS/Remote Sensing Specialist is required to join the IAFCP facility and work closely with the INCAS Adviser, Government of Indonesia and GOI appointed secondees. The position is full-time for six months and based in Jakarta.
The work is being supported by the Indonesia Australia Forest Carbon Partnership (IAFCP), a joint initiative between the Government of Indonesia and the Government of Australia. The IAFCP Facility is funded by Australian Aid - managed by IDSS Pty. Ltd. and Euroconsult Mott MacDonald on behalf of AusAID, the Australian government Agency for International Development. IAFCP is establishing a dedicated INCAS office where the successful applicant will be based, although there will be a need to visit offices of other agencies contributing to the INCAS work.
The INCAS GIS/Remote Sensing Specialist will be responsible for:
1. obtaining and managing existing spatial data including maps of forest types, soil, peat, elevation, slope, rainfall, administrative boundaries;
2. assisting other INCAS specialists to prepare spatial data and spatial analysis required for the INCAS;
3. liaising with the Indonesian National Space Agency (LAPAN) to obtain land cover change outputs in an appropriate format;
4. analyzing remote sensing data to differentiate undisturbed and disturbed forest;
5. manipulating spatial data to support biomass analysis;
6. developing a digital biomass map showing the spatial location of biomass class boundaries;
7. developing a map of annual human induced change in forest area by biomass classes;
8. calculating the area of annual change by biomass classes;
9. providing data outputs in required formats; and
10. assisting with other tasks as required during contract period.
Qualifications and Experience:
1. University Bachelor degree in a relevant field, preferably in Geographic Information Systems and remote sensing;
2. Minimum five years working experience in spatial analysis, database management and have an understanding of forest attribution;
3. Good understanding and practical background in GIS and cartography, including knowledge of current GIS/Remote Sensing (RS) software;
4. Knowledge of Remote Sensing and raster-vector integration techniques;
5. Knowledge of related software and systems (database, word processing, desktop publishing);
6. Excellent inter-personal and general communication skills;
7. Strong service orientation;
8. Ability to work with minimum supervision in a multi-cultural environment.
This is an exciting opportunity to help shape one of the first national carbon accounting systems in tropical countries. If you think you are up for the challenge, please send your application to us at: firstname.lastname@example.org later than 9 March 2012. Please specify the position name you are applying for in your e-mail. Only shortlisted candidates will be notified.