There are 0 repository under wildfires topic.
Python for Raw Sentinel-2 data (PyRawS) is an open-source software providing utilities to open and process Sentinel 2 RAW data, which corresponds to a decompressed version of Level-0 data with additional metadata. The software is demonstrated on the first Sentinel-2 dataset containing raw data for warm temperature hotspots detection/classification.
Deep Learning Models for Wildfire Danger Forecasting
http://ibm.biz/cfcsc-wildfires - predict the wildfire/bushfire area for 7 regions in Australia for each day in February 2021
A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
Download wildfire hotspots detected by NASA satellites and the Fire Information for Resource Management System (FIRMS)
Teleconnection-driven vision transformers for improved long-term forecasting
Alaska Project Ideas, mentored by the researchers and collaborators of University of Alaska and supported by open-source entities and enthusiasts in Alaska.
Convolutional neural network model based on the architecture of the Faster-RCNN for wildfire smoke detection.
Download wildfire incidents data from InciWeb
Download wildfires data from the National Interagency Fire Center
Simulator based on the real physical phenomenons acting in a wildfire, deals with wind, heat capacities..an more.
Detection & monitoring platform of wildfires
Download wildfires data from NOAA satellites
Live wild fire data visualization, historical data analysis, future fires prediction based on Machine Learning model
SAVeTrEE is a script within Google Earth Engine for classifying areas of vegetation mortality. It prompts the user for a year, duration, and spectral index for which a mortality map should be produced, then fits a trend line to an imagery time sequence of vegetative spectral index values calculated from Landsat multispectral data. The slope of the trend line, as well as the spectral index values, are used in determining the final classification of each pixel within the study area. Classification categories are: 1) Growing 2) Mortality (declining) 3) Stable Vegetation and 4) Stable Barren.
Agent-based modeling 2D wildfire suppression simulator tool built on the mesa framework in Python
Download wildfires data from CalFire
Documentation: Methodology and Exploratory Data Analysis
Systematic assessment of the impacts of climate change on human pathogenic diseases
Building models that can predict whether an area is at risk of a wildfire or not on satellite images.
Environmental issues reports from Argentina
Implementation of Dabrowski et. al., "Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires"
Implementation of several state-of-the-art Deep Learning models for fire semantic segmentation.
Map of the Thomas Fire, using data from NASA's MODIS and VIIRS satellites
Forecast app from many provinces in Argentina
A large dataset (500+ images) of past wildfire from Copernicus EMS using Sentinel-2 images in the period 2017- 2023
A clean and lightweight website to provide essential information, resources, and links about the SCU Lightning Complex Fires.
Soil Heating in Fire (SheFire) Model: Annotated .Rmd scripts and an R package to build and use a SheFire model for how different soil depths heat and cool during fires
Project FITA: Fires in the Amazon. WebApp para análise e classificação de imagens de satélite da Amazônia.
A superset of various wildfire smoke datasets.
Predicting wildfire risk using classification and regression tools. My final project as part of the Metis data science bootcamp.
Notebooks and code for evaluating the effect of vegetation mortality on wildfire burn severity in the Woolsey Fire
Project Athena - Quadrupedal Objection Detection System
Modelo desarrollado en el ensamblador de modelos de QGIS; este modelo permite estimar el área quemada y la severidad de la quema.