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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

View My Projects Download CV

Skills

  • GIS & Remote Sensing

    • QGIS, Google Earth Engine, RStudio, Python
    • Spatial analysis, raster processing, and map design
    • Land-use / land-cover analysis and reclassification
    • NDVI, temperature, and environmental raster extraction
    • Habitat suitability, ecological connectivity, and least-cost analysis
    • QGIS Model Designer and basic PyQGIS workflows

  • Programming & Data Analysis

    • R — sf, terra, ggplot2, dplyr, survival
    • Python — pandas, NumPy, Matplotlib, pathlib, shutil
    • Ecological statistics and reproducible workflows
    • Data cleaning, visualization, and exploratory analysis
    • 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
    • Pilot workflows for ecological computer vision
    • GeoAI-assisted spatial analysis and biodiversity mapping
    • Model limitations, validation needs, and ecological interpretation

  • Landscape Ecology & Conservation

    • Ecological connectivity and corridor planning
    • Wildlife movement analysis and habitat use modelling
    • Step Selection Functions with GPS tracking data
    • Biodiversity monitoring in protected and productive landscapes
    • Human-modified landscapes, habitat fragmentation, and land-use change
    • 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 for carnivore studies
    • Fieldwork in Patagonia and protected areas
    • Data integration from field surveys, remote sensing, and GIS layers

  • Scientific Communication

    • Academic writing and literature synthesis
    • Peer-reviewed publications in wildlife ecology and invasive species
    • Scientific posters and conference presentations
    • Portfolio project documentation in Markdown and Jupyter Notebook
    • Map-based storytelling and data visualization
    • Technical communication for conservation and applied ecology

Connect

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