HMS-Smoke
Smoke viewer
An application for visualizing and analyzing NOAA's smoke product data from various satellite sources.
HMS Smoke Explorer: To visualize NOAA's Hazard Mapping System (HMS) smoke product
16 stars
4 watching
6 forks
Language: JavaScript
last commit: about 2 months ago
Linked from 1 awesome list
firesgoesgoogle-earth-enginemodissmoke
Related projects:
Repository | Description | Stars |
---|---|---|
tianjialiu/firecam | An online app for evaluating and comparing fire emissions from different global inventories | 17 |
hsg-aiml/industrialsmokeplumedetection | Detects industrial smoke plumes from satellite images using machine learning models and remote sensing data. | 40 |
bijection/smoke.js | Creates a simulated smoke effect on a canvas. | 274 |
cmu-create-lab/deep-smoke-machine | Develops deep learning models to recognize industrial smoke emissions from video feeds | 117 |
jyoungblood/smoke.js | An alert system for JavaScript applications using CSS animations and styles | 931 |
s03d4-164/hiryu | Tool for visualizing threat analysis data | 47 |
ismms-himc/clustergrammer2 | An interactive data visualization tool for single-cell RNA-seq data | 116 |
datadesk/nasa-wildfires | Downloads wildfire hotspots and associated data from NASA satellites | 33 |
shootismoke/mobile-app | An app that measures daily air pollution levels in cities and displays cigarette smoke effects on an iOS/Android mobile device. | 487 |
hughsk/smokestack | Pipe JavaScript into a browser and capture console logs in Node | 245 |
samme/phaser-debug-emitter | Utilities for visualizing and inspecting particle emitters in game development software | 2 |
hms-dbmi/viv | A toolkit for interactive visualization of high-resolution bioimaging data. | 286 |
noaa-pmel/ferret | A software tool for data visualization and analysis from NOAA's Pacific Marine Environmental Laboratory. | 55 |
hustcc/onfire.js | A lightweight event-emitter library for cross-component communication and system events. | 497 |
yuhhuang/fire_pattern_analysis_conus | Analyzes fire patterns and drivers in the CONUS region using various data sources and machine learning techniques. | 1 |