Remote Sensing Assistant

CIFOR-ICRAF is seeking a Remote Sensing Assistant to handle data acquisition, quality assurance, and analysis of satellite imagery for land use classification in Indonesia. Responsibilities include preparing data, conducting accuracy assessments, planning field surveys, and documenting technical procedures. This is a full-time remote position.
1. 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.