GIS & Remote Sensing Specialist

Daemeter Consulting is an independent, impact‑oriented consulting firm working at the intersection of forestry, climate change, and sustainable land‑use. Based in Indonesia and operating internationally, Daemeter supports governments, NGOs, donor agencies, and private sector clients with applied technical, policy, and implementation support across forestry, agriculture, climate, and landscape‑based sustainability initiatives. Our work combines rigorous analysis with grounded, practical solutions to deliver measurable environmental and social outcomes.

The GIS & Remote Sensing Specialist plays a key technical role in supporting Daemeter’s work in sustainable land‑use, landscape monitoring, spatial intelligence, and environmental analytics. The Specialist is responsible for delivering high ‑ quality geospatial products, remote sensing analyses, spatial data management. The role contributes to spatial analysis, project implementation, knowledge management, proposal development, and cross-team collaboration within the Geospatial & Informatics Knowledge Area (G&I).

Spatial Data & Remote Sensing Analysis.

• Acquire, preprocess, and analyze satellite imagery (e.g., Sentinel, Landsat, Planet, UAV, LiDAR).
• Analyze land‑use/land‑cover, change detection, ecosystem/ecological modeling, and time ‑ series analysis.
• Perform spatial modeling, multi ‑ criteria decision‑making, and location intelligence for restoration and conservation.
• Manage geodatabases, data pipelines, and ETL processes for spatial datasets.
• Developing automation of geospatial workflows (Python, R, or Google Earth Engine).
• Produce high ‑ quality maps, infographics, spatial dashboards, and analytical visualizations.
• Prepare clear methodologies, technical notes, and documentation aligned with project standards.

Project Execution & Technical Support

• Support multi‑disciplinary project teams working on forestry, agriculture, sustainability, and land‑use planning.
• Provide spatial insights for project design, implementation, monitoring, and reporting.
• Maintain QA/QC procedures ensuring accuracy, completeness, and consistency of spatial outputs.

Collaboration, Capacity Building & Knowledge Sharing

• Deliver internal and external GIS/RS trainings as needed.
• Contribute to knowledge management for the G&I team, including spatial datasets, tools, and SOPs.
• Engage with clients, partners, and stakeholders on technical geospatial topics.

Education

• Bachelor’s degree in Remote Sensing, Geography, Geomatics, Forestry, Soil Science, Environmental Science/Natural Resource Management, Computer/Data science, or a related field from a reputable university is required.
• At least 5 years of demonstrable experience in GIS and Remote Sensing.
• A Master’s degree in a relevant field is a strong advantage.

Professional Experience

• Proven experience in geospatial data analysis, remote sensing processing, and spatial database management.
• Proficiency in GIS/RS tools.
• Extensive work experience in GIS and remote sensing, and its applications in the forestry, biodiversity conservation, ecosystem restoration, and/ or climate change.
• Expertise of programming languages in R, Python, and Google Earth Engine is a strong advantage.
• Familiarity with UAV data processing and cloud‑based EO platforms.
• Knowledge and experience working with big data, geospatial database management, and FOLU (Forest and Land Use) monitoring systems.
• Strong reporting, visualization, and scientific/technical writing skills.
• Experience in working within and/or managing complex projects, working with cross‑functional teams, and delivering high‑quality outputs to clients.

Core Competencies and Skills

• Advanced GIS analysis and remote sensing.
• Spatial modelling and database management.
• Map design and geospatial communication.
• Strong analytical, communication, and problem ‑ solving skills.
• Strong analytical abilities, with meticulous attention to detail.
• Skills in statistical or data visualization (R package), Database (MS Access or SQL), Phyton or other similar programming language for Remote sensing data.
• Excellent organizational and time management skills, able to handle…