Remote Sensing Assistant
CIFOR-ICRAFThe Center for International Forestry Research (CIFOR) and World Agroforestry (ICRAF) envision a more equitable world where trees in all landscapes, from drylands to the humid tropics, enhance the environment and well-being for all. CIFOR and ICRAF are non-profit science institutions that build and apply evidence to todays most pressing challenges, including energy insecurity and the climate and biodiversity crises. Over a combined total of 65 years, we have built vast knowledge on forests and trees outside of forests in agricultural landscapes (agroforestry). Using a multidisciplinary approach, we seek to improve lives and to protect and restore ecosystems. Our work focuses on innovative research, partnering for impact, and engaging with stakeholders on policies and practices to benefit people and the planet. Founded in 1993 and 1978, CIFOR and ICRAF are members of CGIAR, a global research partnership for a food secure future dedicated to reducing poverty, enhancing food and nutrition security, and improving natural resources.
CIFOR-ICRAF is looking for a Remote Sensing Assistant
Overview The remote sensing assistants primary responsibility is to support the production of high-quality, replicable, and scalable land use/cover products using desktop and cloud-based remote sensing platforms. The assistant will also contribute to adapting and extending features within the current codebase and workflow; this includes developing, testing, and documenting associated algorithms. Collaborating closely with the Remote Sensing and GIS team and scientists from various fields, the assistant will help deliver high-quality land cover maps with transparent accuracy assessments. Duties and responsibilities1. Data Acquisition and Preparation
- Select, collect, compile, and pre-process high-quality, time-series satellite imagery from reliable sources using desktop or cloud-based remote sensing engines.
- Support the development of rulesets/interpretation keys and image interpretation procedures for classifying land use/cover types in Indonesia using satellite imagery.
2. Data Quality Assurance and Analysis
- Assist in performing replicable accuracy assessments and refining land use/cover data.
- Solicit and incorporate feedback from internal and external colleagues to improve land use/cover classification accuracy.
- Assist in conducting land use/cover change analysis and other related LULC analytical tasks as required.
- Contribute to the development of case studies on the application of land use/cover maps.
3. Field Survey Planning, data management and documentation
- Assist in planning field surveys and organising the collected data for model training, validation, and accuracy assessment.
- Contribute to documenting all technical procedures for image classification, including code annotation, within version-controlled notebooks.
- Assist in organising spatial datasets into a database system.
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Information :
- Company : Cifor
- Position : Remote Sensing Assistant
- Location : Bogor
- Country : ID
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Post Date : 2025-05-18 | Expired Date : 2025-06-17