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[YOUR NAME]

Luciano Rivas

Biologist

Wildlife ecologist | Biodiversity data | GIS & remote sensing | R & Python

About Me

I am an ecologist working at the intersection of biodiversity conservation, landscape ecology, GIS, remote sensing, and GeoAI. My projects integrate satellite imagery, ecological field data, vegetation and soil indicators, and machine-learning workflows to assess land-use dynamics, ecological connectivity, and biodiversity responses in agricultural, urban landscapes, and protected areas.

I mainly work with Python, R, Google Earth Engine, and open-source GIS tools, and I am currently seeking opportunities in biodiversity and landscape analysis in Europe and Argentina.

About

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Skills

  • GIS, Remote Sensing & SDM

    • QGIS, Google Earth Engine, RStudio, and Python
    • Land-use / land-cover analysis, NDVI, temperature, and environmental raster extraction
    • Species Distribution Modelling with Google Earth Engine and environmental predictors
    • Habitat suitability, ecological connectivity, and least-cost analysis
    • Map design, raster processing, and reproducible spatial workflows

  • Programming & Data Analysis

    • R — sf, terra, ggplot2, dplyr, survival
    • Python — pandas, NumPy, Matplotlib, GeoPandas, Rasterio
    • Ecological statistics, data cleaning, visualization, and reproducible workflows
    • Git, GitHub, PowerShell, and command-line workflows

  • Machine Learning & GeoAI

    • YOLO object detection for camera-trap imagery
    • Image annotation with MakeSense.ai
    • Species detection from images and video inference
    • GeoAI-assisted spatial analysis and biodiversity mapping
    • Ecological interpretation, model limitations, and validation needs

  • Landscape Ecology & Conservation

    • Ecological connectivity and corridor planning
    • Wildlife movement analysis, habitat use modelling, and Step Selection Functions
    • Biodiversity monitoring in protected, agricultural, and human-modified landscapes
    • Habitat fragmentation, land-use change, and conservation-oriented spatial planning

  • Ecological & Field Data

    • Camera-trap data organization and species monitoring
    • Vegetation, soil, and biodiversity indicators
    • Soil health analysis in agricultural landscapes
    • Non-invasive genetic sampling and fieldwork in Patagonia and protected areas
    • Integration of field surveys, remote sensing, and GIS layers

  • Scientific Communication

    • Academic writing, literature synthesis, and technical reporting
    • Peer-reviewed publications, posters, and conference presentations
    • Portfolio documentation in Markdown and Jupyter Notebook
    • Map-based storytelling and conservation data visualization

Connect

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