wildfire
Datasets
All datasets matching “wildfire”western-us-wildfire-prediction
Curated Wildfire Detection & Analysis Dataset
This dataset consists of 125 fire and 375 control 'scenes', where every scene includes
a Sentinel-1 pre image, Sentinel-1 post image, Sentinel-2 pre image, Sentinel-2 post image,
ERA5 re-analysis data series, and a json file with metadata on each piece of data. Each fire
is paired with three controls that match the fires EPA Level III Eco-region of the fire.
125 fires and 375 control scenes are collected over seven United States… See the full description on the dataset page: https://huggingface.co/datasets/aroon-sankoh/western-us-wildfire-prediction.wildfire_global
A Globally Balanced Wildfire Satellite Dataset for VLM Bias Evaluation
Overview
This is a geographically balanced dataset of wildfire events captured by Sentinel-2 satellite imagery, designed to benchmark vision-language models (VLMs) on wildfire detection and burn severity estimation across diverse global regions.
Each sample consists of a paired pre-fire and post-fire RGB chip (224×224 px, 10 m GSD) with continuous dNBR ground truth derived from Sentinel-2 NIR/SWIR… See the full description on the dataset page: https://huggingface.co/datasets/moritzrengert1/wildfire_global.effis-wildfireThis repository contains a dataset of Sentinel-2 images of EFFIS fire events.
wildfires-cems
Wildfires - CEMS
The dataset includes annotations for burned area delineation and land cover segmentation, with a focus on European soil.
The dataset is curated from various sources, including the Copernicus Emergency Management System (EMS) and Sentinel-2 feeds.
Repository: https://github.com/links-ads/burned-area-seg
Paper: https://paperswithcode.com/paper/robust-burned-area-delineation-through
Dataset Preparation
The dataset has been compressed into segmentented… See the full description on the dataset page: https://huggingface.co/datasets/links-ads/wildfires-cems.firesafety-wildfire
Dataset Summary
This dataset contains images of smoke plumes and fire. The images were taken remotely. The dataset is intended to train computer vision systems to detect forest fires.
balanced_wildfire_dataset