GIS & MRV Specialist

Deskripsi Pekerjaan

Job Descriptions

1. Conduct and manage spatial data management, including storage, organization, preparation, and ensuring all spatial data from Pre-FS, FS, and PDD/PD are updated in the project database and project value matrix.
2. Perform GIS analysis and map layouting for all project stages including Pre-FS, FS, PDD/PD, PIN, and other required documentation.
3. Support DMRV troubleshooting with the Tech Team and contribute to MRV development and implementation across project phases.
4. Support the development and continuous improvement of online tools for Pre-FS and FS in alignment with Verra, Gold Standard, SRN, and other relevant standards.
5. Conduct spatial analysis for Pre-FS, including desk-based studies, environmental condition assessments, carbon project modeling, economic and social analyses.
6. Prepare spatial data and conduct gap analysis for FS preparation, PDD/PD preparation, and other technical assessments.
7. Develop GIS analysis and map layouts for FS, including supporting the creation of detailed workplans, preliminary reports, and final reports in collaboration with external FS consultants.
8. Support FS and PDD/PD field visits by preparing required spatial data, maps, and conducting on-site GIS-related assessments as needed.
9. Conduct GIS analysis and map layouting for PDD/PD development, including detailed workplans, document writing support, and coordination with external consultants.
10. Provide GIS support for cross-functional activities, including FPIC processes, registration–validation–verification, PMU ground implementation (annual workplan, project activities, monitoring, evaluation).

Requirements

1. Bachelor’s or Master’s degree in Geomatics, Remote Sensing, Environmental Science, Forestry, Geography, or related fields.
2. Minimum 5 years of professional experience in GIS, spatial modeling, and remote sensing for forestry, land-use, or carbon project development.
3. Proficient in ArcGIS Pro, ArcPy, ModelBuilder, QGIS, Google Earth Engine (JS & Python), and Python libraries (rasterio, geopandas, numpy, pandas, scikit-learn, GDAL).
4. Skilled in processing and interpreting Sentinel-1 SAR (VV/VH), Sentinel-2 & Landsat multispectral, PlanetScope, MODIS burned area, VIIRS fire mask, and GEDI canopy height data.
5. Experienced in time-series analysis, land-cover change detection, peat hydrology indicators, and vegetation structure assessment.
6. Strong understanding of VCS methodologies and experience preparing GIS/MRV components for PDDs, Feasibility Studies, Monitoring Reports, leakage analysis, carbon stock support, peat subsidence & hydrological modeling, fire risk, and non-permanence assessments.
7. Familiar with KLHK regulations on peatland and mangrove ecosystems relevant to carbon project compliance.
8. Capable of training and evaluating ML/DL models (Random Forest, XGBoost, SVM, UNet, CNNs, DeepForest, object-detection) and developing feature-engineering pipelines combining optical, SAR, and ancillary datasets.
9. Able to conduct auditor-grade accuracy assessments (stratified sampling, confusion matrix, P/U accuracy, Kappa, uncertainty analysis) and produce reproducible workflows, documented methods, and scripted QA/QC pipelines for VVB review.
10. Experienced in GPS ground-truthing, drone surveys, integrating field data for MRV validation, and communicating technical analyses, maps, and methodologies to VVB auditors and multidisciplinary teams.

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