Download wildfires data from NOAA satellites
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Updated
Sep 9, 2024 - Python
Download wildfires data from NOAA satellites
Download wildfires data from CalFire
Download wildfires data from the National Interagency Fire Center
Download wildfire incidents data from InciWeb
Download wildfire hotspots detected by NASA satellites and the Fire Information for Resource Management System (FIRMS)
Download watch, warning and advisory data from the National Weather Service
Detection & monitoring platform of wildfires
This repo contains open-source tools and tutorials developed by scientists and engineers funded by the NASA TROPESS project.
Alaska Project Ideas, mentored by the researchers and collaborators of University of Alaska and supported by open-source entities and enthusiasts in Alaska.
Documentation: Methodology and Exploratory Data Analysis
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.
Welcome to my Wildfire capstone project. This project develops a classification model to predict wildfires management complexity levels. This is a wildfire risk, size, and impact based project.
Building models that can predict whether an area is at risk of a wildfire or not on satellite images.
Exploring the SEVIRI Level 1.5 dataset
Exploring MODIS MOD021KM and FIRMS datasets
A global scale study of the factors affecting wildfires' distribution over the past 10 years. We used Google Earth Engine for retrieving data and Python for analysis.
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