pcarbomestre

Introducing FoodSight: Bridging the Gap in Ranching Data Accessibility

October 30th, 20233 min read

In this post, I want to present to you the latest project I have been involved in. FoodSight, an ambitious platform aiming to integrate crucial ranching data....

Vessel detection in SAR images: Potential for improved fisheries management

June 21th, 202316 min read

In this post I show how the derived data from a vessel detection model can be used to monitor fishing activities...

Vessel Detection with AI: SAR Imagery and Faster R-CNN Models

June 10th, 20232 min read

Using computer vision techniques in combination with Synthetic Aperture Radar (SAR) images, I created a model capable of detecting ships in open ocean and coastal areas...

R Shiny interactive tours using Conductor

May 13th, 20235 min read

Check out the user-friendly guide I added to the Gaviota Coast Interactive Planner created for The Nature Conservancy. It is a great example if you are interested in implementing a guided tour in your own app...

Creating an Interactive Planner using R Shiny

March 24th, 20233 min read

As part of my Master's project for The Nature Conservancy, I have been developing the Gaviota Region Interactive Planner, an R Shiny app designed to visualize and evaluate spatial environmental data in the Santa Barbara County region...

Extracting GFW's Fishing Effort Data using Earth Engine Python API

February 20th, 202312 min read

In this post we will dive into the world of Google Earth Engine (GEE) datasets and how to access them using the Python API. Our focus will be on a dataset from Global Fishing Watch (GFW) which provides daily fishing effort as inferred fishing hours. We will take you through the steps of how to read in the dataset, visualize the data, and extract...