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Defani Arman Alfitriansyah

Forester · Remote Sensing & GIS Analyst · Open-source Geospatial Developer

English · Bahasa Indonesia

Foto Defani Arman Alfitriansyah

Defani Arman Alfitriansyah

Forester · Remote sensing & GIS · Open-source geospatial tools

Gayo, Aceh Tengah & Bener Meriah, Indonesia

Cover of the SQL DuckDB in GeoLibre book

New book: Panduan Praktis SQL DuckDB di GeoLibre

I have just published a book! Spatial SQL from scratch in plain language, practised in GeoLibre. 26 chapters, 147 SQL examples, real data from Kuningan and West Java.

Rp85,000 · PDF + EPUB · 420 pages

Buy on Mayar · Read a sample

I’m a Forestry graduate specializing in remote sensing, forest carbon modeling, ecological modeling, and cloud-based geospatial technology for environmental applications.

I’m now working in agroforestry, building GIS databases and WebGIS systems to support spatial data management, monitoring, and traceability. My work covers developing spatial datasets, processing and analyzing geospatial data, and producing maps and visualizations that support forest and environmental decision-making.

My research background centers on forest carbon assessment, biomass modeling, and Sentinel-2 spectral analysis, using Google Earth Engine and an open-source Python ecosystem (geemap, cartoee, cartopy, scikit-learn, pandas, matplotlib, Google Colab).

I also serve as a GIS & Spatial Modeling Laboratory Assistant, mentoring students in GIS, remote sensing, Google Earth Engine, and Python-based spatial analysis.

I build open-source geospatial tools: RasterViz, a QGIS plugin for Matplotlib-style raster visualization without coding, used by 1,300+ users worldwide, and the GeoLibre plugins Layout Composer, GBIF Data and iNaturalist Extractor.

As a content creator on Instagram (@49s.lab, 6K+ followers), I share practical GIS, remote sensing, and open-source geospatial tutorials. I work with open-source software only, and I’m open to collaboration on forest carbon, sustainability, EUDR, and GIS-based traceability systems.

Research and writing

Where I work

Live data

Tree cover loss in Indonesia

Source: Global Forest Watch, data by Hansen/UMD/Google/USGS/NASA.