Updated: Nov 15, 2021
Solution Kit Nearly 200 countries approved the U.N. brokered COP26 pact. John Kerry is optimistic that COP26 puts us closer than ever to avoiding climate chaos, while COP26 climate summit's president Alok Sharma was "deeply frustrated" with the outcome. Most countries have insisted that the agreement was important, though a small step in keeping alive the hopes of achieving the 1.5 degree Celsius temperature goal. It has raised hopes of 2030 climate action goals and a 2023 meeting to scale up the ambition of climate action. Reducing the usage of coal has been a sticky point. However, there has been unanimous support for the focus on adaptation, global methane pledge, and reversing forest loss and land degradation by 2030. It's pretty interesting to see there are 1000s of open source libraries on these topics of adaptation, methane emissions, and forest management. While the countries drive the larger goals, you can adopt many of these into your digital roadmap. The kandi kit on COP26 Climate Pact Use Cases showcases open source libraries to implement adaptation use cases across flooding and weather, methane monitoring, and afforestation.
Adaptation - Sea Levels and Weather
sea-level-riseby datasets
16 Version:CurrentGlobal Mean Sea Level Rise
sea-level-riseby datasets
Python 16 Version:Current License: Permissive (Unlicense)
2019-04-climate-changeby BuzzFeedNews
12 Version:Current
License: No License (null)Data and R code underlying the maps and chart in the Apr. 22, 2019 BuzzFeed News post "Here And Now: These Maps Show How Climate Change Has Already Transformed The Earth" https://www.buzzfeednews.com/article/peteraldhous/climate-change-maps-ice-sea-level-rise
2019-04-climate-changeby BuzzFeedNews
HTML 12 Version:Current License: No License
aqua-monitorby Deltares
36 Version:v0.1.0Monitoring surface water changes from space at global scale
aqua-monitorby Deltares
Python 36 Version:v0.1.0 License: Weak Copyleft (LGPL-3.0)
stormTrackingby ecjoliver
9 Version:CurrentAutomated detection and tracking of atmospheric storms (cyclones) and high-pressure systems (anticyclones), given a series of mean sea level pressure maps.
stormTrackingby ecjoliver
Python 9 Version:Current License: Strong Copyleft (GPL-3.0)
eddyTrackingby ecjoliver
29 Version:CurrentCode for the detection and tracking of eddies, following Chelton et al. (Prog. Ocean., 2011) given a series of sea level maps.
eddyTrackingby ecjoliver
Python 29 Version:Current License: Others (Non-SPDX)
esp8266-weather-station-colorby ThingPulse
518 Version:CurrentESP8266 Weather Station in Color using ILI9341 TFT 240x320 display
esp8266-weather-station-colorby ThingPulse
C 518 Version:Current License: Permissive (MIT)
weather-stationby masneyb
164 Version:CurrentA lightweight, self contained, solar-powered weather station for the Raspberry Pi.
weather-stationby masneyb
C 164 Version:Current License: Strong Copyleft (GPL-2.0)
Methane Emissions
Remote_sensing_CH4by dng55
4 Version:v0.1-sample License: No License (null)Combining remote sensing products from Google Earth Engine with a methane emission model to characterize surface conditions of methane hotspots in wetlands.
Remote_sensing_CH4by dng55
Jupyter Notebook 4 Version:v0.1-sample License: No License
Permafrost emissionsby escanyapobres
0 Version:CurrentJust an experiment to indentify methane emissions on Batagaika crater, Siberia. --- Només un experiment per intentar identificar les emissions de metà al crater Batagaika, Sibèria.
Permafrost emissionsby escanyapobres
JavaScript 0 Version:Current License: Permissive (MIT License)
Methane-detection-from-hyperspectral-imageryby satish1901
19 Version:CurrentDeep Learning based Remote Sensing Methods for Methane Detection in Airborne Hyperspectral Imagery
Methane-detection-from-hyperspectral-imageryby satish1901
Python 19 Version:Current License: Permissive (MIT)
GlobalEmissionsby GiadaFallo
2 Version:Current License: No License (null)Visualize GHG emissions
Arctic_Meltdown_Analysisby nagavem
1 Version:CurrentArctic_Meltdown_Analysisby nagavem
Scala 1 Version:Current License: Others (Non-SPDX)
Afforestation
Deforestation Detectorby satelligence
0 Version:CurrentDetect deforestation from satellite data timeseries by comparing observations with a predefined historical mean and variation.
Deforestation Detectorby satelligence
Python 0 Version:Current License: Permissive (MIT License)
deforestationby victorqribeiro
26 Version:CurrentA machine learning exercise, using KNN to classify deforested areas
deforestationby victorqribeiro
Python 26 Version:Current License: Permissive (MIT)
cloudlessby BradNeuberg
297 Version:CurrentDeep learning pipeline for orbital satellite data for detecting clouds
cloudlessby BradNeuberg
Python 297 Version:Current License: Permissive (Apache-2.0)
gfwby Vizzuality
238 Version:6.4.4Global Forest Watch: An online, global, near-real time forest monitoring tool
gfwby Vizzuality
JavaScript 238 Version:6.4.4 License: Permissive (MIT)
spatialEcoby jeffreyevans
83 Version:CurrentR package for spatial analysis and modelling of ecological systems
spatialEcoby jeffreyevans
R 83 Version:Current License: Strong Copyleft (GPL-3.0)
collect-earthby openforis
38 Version:collect-earth-1.2.7_bOpen Foris Collect Earth. Augmented Visual Interpretation through Google Earth
collect-earthby openforis
Java 38 Version:collect-earth-1.2.7_b License: Permissive (MIT)