Remote Sensing and Earth Observation Specialist

4 weeks ago


Quezon City, Philippines Aickman and Greene Full time

Overview

Aickman and Greene

Remote Sensing and Earth Observation Specialist

Responsibilities
  • Support project design, feasibility assessment, implementation, and long-term monitoring
  • Analyze and model remote sensing and geospatial data for applications such as land cover/use mapping, fire risk assessment, above-ground biomass estimation, and deforestation risk modeling
  • Support field data collection through drone coordination and validation activities, provide technical guidance and training, and ensure geospatial quality control across teams. Strong emphasis is placed on clear documentation, reporting, and communication of remote sensing outputs for both technical and non-technical stakeholders, including support for external verification and project documentation (e.g., PDDs under standards like Verra)
  • Employment type: Project-based (Full-time)
  • Technical and educational requirements: Bachelor’s degree in GIS, Environmental Science, Forestry, Computer Science or related fields
Qualifications
  • At least 5 years of experience in Remote Sensing and GIS
  • Experience and expertise in workflow automation, machine learning/deep learning techniques for image classification and segmentation (e.g., Random Forest, Linear Regression, Artificial Neural Networks) for nature-based solution carbon project applications
  • Experience in advanced remote sensing analysis and modelling, including image processing for active and passive sensors (image calibration & correction, change detection modelling such as Land Trendr & CCDC, and image classification)
  • In-depth knowledge and experience of RS/GIS implementation for forestry, conservation, and land use in AFOLU carbon projects
  • Familiarity with photogrammetry software (e.g., Pix4D, DroneDeploy, Agisoft)
  • Programming skills, particularly in Python and Google Earth Engine
  • Familiarity with terms such as land cover, land use, and carbon project modeling
  • Technical skills: Python, Data Analysis, Java, SQL, Data Processing
Working Location

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