[Tesis postgrado] [Pagada] Deteccion de Fuego en la naturaleza usando IA
En el contexto del proyecto fAIrefighter, como desarollar IA para combatir los incendios.
Jan 1, 2025
(Preprint) Scrapping The Web For Early Wildfire Detection: A New Annotated Dataset of Images and Videos of Smoke Plumes In-the-wild
PyroNear-2024 is a new dataset for smoke plume detection, featuring 150,000 annotations on 50,000 images and videos of 400 wildfires from France, Spain, and the US. This dataset surpasses existing ones in size and diversity, and experiments show it's a challenging but valuable resource for training models, with potential for improved performance when combined with other datasets.
Oct 1, 2024
DeepCrop🛰️🌾🌽
We are creating an AI system for nation-wide agricultural production monitoring based on crowd-sourced and remote-sensing.
Sep 30, 2024
CopernicusLAC🛰️🇪🇺
Our project is located in Santiago de Chile and operates as a centre dedicated to the storage, processing, and distribution of satellite data of the Copernicus Programme and the provision of services of regional interest for the benefit of all countries in Latin America and the Caribbean (LAC).
Sep 30, 2024
fAIrefighter🧯
A wildfire early detection and spread prediction AI-driven decision support tool.
Jun 9, 2024
Boosting crop classification by hierarchically fusing satellite, rotational, and contextual data
This is a new approach to classify crop types using a multimodal hierarchical model combinning satellite data, crop rotation patterns, and local crop distribution. It outperforms existing approaches by leveraging the spatio-temporal context of agricultural parcels, and has shown promising results in cross-country transferability and few-shot learning settings.
Apr 1, 2024