Mapping the future of forestry through open-source geospatial technology.
## ๐จโ๐ป About Me & Experience
- ๐ญ Focusing on Remote Sensing, Ecological Modeling, Carbon Stock Mapping, Mangrove Above-Ground Biomass (AGB), Spectral Analysis, and Species Distribution Modeling.
- ๐ ๏ธ Currently developing RasterViz, an open-source QGIS plugin for publication-quality scientific raster visualization.
- ๐ Educating a community of 1k+ learners on GIS & Remote Sensing through digital platforms.
๐ผ Work Experience & Involvement:
- ๐ก Remote Sensing Analyst @ ORHL BRIN (2026โPresent)
- ๐ฌ Laboratory Assistant @ Universitas Kuningan (2025โ2026)
- ๐จโ๐ซ GIS & RS Tutor @ Forum Pohon Langka Indonesia (2025)
- ๐ค Social Forestry Facilitator @ BPSKL Sumatera, Ministry of Environment and Forestry (2024)
- Forestry Measurements: Biomass Parameter Measurement, Forest Inventory, Wildlife Inventory.
- Coastal Ecosystems: Mangrove Survey, Mangrove Identification.
| Category | ๐ Python Ecosystem | ๐ R Ecosystem | ๐ ๏ธ Software / Spatial Tools |
|---|---|---|---|
| Data & ML | |||
| Geospatial & Ecology | |||
| Visualization & GUI |
$ research --focus "Remote sensing for forestry" \
--focus "Forest carbon modeling" \
--focus "Biomass estimation" \
--focus "Mangrove ecosystems" \
--focus "Ecological modeling" \
--focus "Restoration prioritization" \
--focus "Biodiversity conservation" \
--focus "Social forestry" \
--focus "Environmental education" \
--focus "Geospatial applications for sustainability" \
--focus "Species distribution model"| ๐งฉ RasterViz (QGIS Plugin) Publication-quality scientific raster rendering plugin natively built with PyQGIS, Matplotlib, and PyQt5.Tech Stack: Python โข QGIS โข Matplotlib |
๐ฐ๏ธ EE Spectral Exploration A Google Earth Engine GUI App for multi-sensor vegetation index computation, thresholding, and area statistics. Tech Stack: JavaScript โข Earth Engine API |
| ๐ GEEDEF LULC Tools A cloud-based, interactive land cover classification tool built within the GEE Code Editor to accelerate supervised mapping workflows. Tech Stack: JavaScript โข Random Forest |
๐จ MapBiomas ID Col 3.0 QML A permanent QGIS Style Library (QML) mapping pixel values (DN) directly to official MapBiomas ATBD guidelines. Tech Stack: QGIS โข QML โข Cartography |
I develop interactive, cloud-based solutions for dynamic environmental monitoring and spatial analysis:
| ๐ง๏ธ EE CHIRPS RainMapper A WebGIS platform for climatology analysis using the ~5 km resolution CHIRPS dataset. Features AOI-based spatial analysis, dynamic stretch visualization, trend charts, GeoTIFF export, and a built-in timelapse GIF generator. Tech Stack: JavaScript โข Earth Engine API |
๐ง CaiMapper: Dynamic Water Extraction An automated surface water detection web app utilizing Landsat 8 and Sentinel-2. Integrates NDWI, MNDWI, and AWEI with interactive drawing tools, cloud parameter adjustments, dynamic thresholding, and area estimation. Tech Stack: JavaScript โข Earth Engine API |
| ๐ณ Patratani RF Classifier An interactive WebGIS for on-the-fly LULC mapping using Sentinel-2A and the Random Forest algorithm. Facilitates image acquisition, MapBiomas-compatible index extraction, training sample digitization, and accuracy assessment. Tech Stack: JavaScript โข Random Forest |
๐งฎ S2 Spectral Calc A minimalist analytical WebGIS dashboard for on-the-fly extraction and mathematical modification of Sentinel-2 imagery. Features Ready-to-Use indices, an Interactive Raster Calculator, intelligent Auto-Stretch, and instant GeoTIFF export. Tech Stack: JavaScript โข Earth Engine API |
| ๐ฐ๏ธ Patratani Spectral View An environmental monitoring platform visualizing spatial dynamics such as vegetation density (NDVI), water bodies (NDWI), and canopy moisture (NDMI). Equipped with adjustable time-frame sliders and cloud-cover percentage filters. Tech Stack: JavaScript โข Earth Engine API |