EO Modeller

Role Objective 

To support the Inventory & Resource Information Lead in the delivery of a multi-source inventory to Coillte Forest by maintaining remote sensing datasets, and by the analysis and interpretation of these data to provide accurate, timely and quality assured resource information.

Responsibilities 

Planning & Support

• Maintain and organise Coillte Forest's EO data archives.

• Process and analyse satellite, LiDAR and other EO data using appropriate programming languages to deliver key forest resource information.

• Derive key resource information, and produce reports and map outputs to meet the information needs of Coillte Forest.

• Assist with the rapid development of new workflows to address key business process needs in inventory, in particular using Machine Learning and AI techniques

• Implement image segmentation & modelling techniques for LiDAR-based parameter estimation.

• Develop web-based approaches for disseminating EO datasets.

 People & Culture 

• Support a strong culture of operational excellence and continuous improvement.

• Support the simplification of business processes to reduce complexity.

• Develop strong collaboration within the Resource team and with Business Area Unit (BAU) Resource Managers to ensure inventory supports strategic and tactical planning.

• Act as a visible role model for the Group’s values.

External Focus 

• Develop and maintain a network of technical experts in the field of EO.

• Support the building of strong relationships with key agencies (OSI, Forest Service, GSI etc.).

• Support forest planning-related regulatory, consultation and certification processes to ensure that forest activities are planned in compliance with legal and certification requirements.

Behavioural Competencies

• Resilience: Proven ability and track record in working in a fast paced and dynamic work environment.

• Problem-Solving: Proactive in identifying emerging issues and addressing them promptly by working on own initiative with proven capability and effectiveness in problem solving.

• Analytical: Exceptional and demonstrable analytical skills.

• Discretion: Personal credibility and a proven ability to maintain discretion and confidentiality.

• Organised: Ability to achieve deadlines when required and to effectively prioritise between competing demands with exceptional organisation skills.

• Collaboration: Excellent interpersonal skills to build effective relationships with colleagues, stakeholders and peers.

• Report Writing: Strong report writing skills and an ability to present information clearly and concisely.

• Time Management: Efficient management of time and resources.

Desired Professional Competencies 

• Education and Experience: Relevant qualification in remote sensing or related discipline such as GIS or image processing, ideally to HETAC Level 8 with demonstrable experience.

• Forestry: Knowledge of forestry, especially forest inventory, beneficial.

• Computer programming: Ability to programme in one or more of the following languages: Python, Shell scripting or R, as applied to geo-spatial data, very beneficial. Understanding of Unix/Linux operating systems beneficial.

• Machine Learning/AI: experience and knowledge in using Machine Learning and AI-based techniques. * Web-based technologies: Experience and/or knowledge of OGC services highly desirable.

• LiDAR: experience in processing and interpreting LiDAR data for forestry

• Regulatory Compliance: Knowledge and experience to promote a safe-working environment and ensure compliance with environmental, regulatory and silvicultural standards.