From Amazon field experience to reproducible geospatial workflows.
I work at the intersection of environmental monitoring, spatial analysis, applied research, and geospatial workflows. My background combines 10+ years of field and territorial experience in the Amazon with recent training in geomatics in France.
MSc in Geomatics — SIGMA, Université Toulouse 2 Jean Jaurès / INP-ENSAT (with distinction)
- remote sensing for forest monitoring, degradation analysis, and territorial diagnosis
- spatial analysis and statistical modelling for environmental and land-use questions
- reproducible geospatial workflows with Python, R, Google Earth Engine, QGIS, and PostGIS
- cartography, GIS automation, and lightweight WebGIS prototyping
| Repository | What it shows |
|---|---|
| terramaz | Forest and territorial indicators for four Amazonian territories, combining GEE, Python, PyQGIS, R, and cartographic outputs. |
| calha-norte-mining-analysis | Multitemporal remote-sensing case study on illegal mining in the Brazilian Amazon, combining imagery interpretation, territorial evidence, and Earth Engine tools. |
| forest-productivity-modis | Forest productivity and degradation analysis in the Amazon using MODIS time series and applied research workflows. |
| sentinel2-forest-classification | Sentinel-2 time-series classification workflow in Python for forest species mapping. |
| geojson-parcel-processor | Python-based parcel processing tool for cadastral workflows and practical GIS output generation. |
This profile brings together:
- applied remote sensing and environmental monitoring projects
- geospatial analysis and cartographic workflows developed in the SIGMA MSc
- public case-study repositories derived from real consulting and research work
- technical prototypes connecting field knowledge, territorial analysis, and reproducible methods