High-Level Project Summary
FireWatch is an app that will utilize the FIREX-AQ Campaign data, multiple EO data sources such as NASA's Terra, Aqua Aura and Landsat satelites, the GPM satellite contellation, the NASA-USDA Global Soil Moisture data, demographic data from the USDA Forest Service and the resolution of remotely sensed imagery, biophysical modelling and GIS analysis to map wildland fuels in forests. All of witch will be integrated by a neural network AI to create simulations and predictions regarding the spread, and impact of wildfire and its toxic smoke in the enviroment and in human lives. To inform people, government, third parties and farmers how to save their lives and the enviroments'.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
FireWatch is an app that will inform people, government, third parties and farmers about the potential damages caused by wildfire, agricultural fires and prescribed fires through predictions and simulations, to take supressing action (in the case of wildfires) or to plan the optimal moment to provoke prescribed and agricultural fires minimizing damage. It will utilize the FIREX-AQ Campaign's data, multiple EO data sources such as NASA's Terra, Aqua Aura and Landsat satelites, the GPM satellite constellation, the NASA-USDA Global Soil Moisture data, demographic data from the USDA Forest Service and the resolution of remotely sensed imagery, biophysical modelling and GIS analysis to map wildland fuels in forests, to gather data regarding soil moisture, relative humidity, precipitation, temperatures, All of witch will be integrated by a neural network that will create simulations and predictions regarding the spread, and impact of wildfire and its toxic smoke in the enviroment and in human lives. The AI will be trained by comparing the data that precedes fires or its spread, with the events they follow, correlating patterns between actions and consequences.
Space Agency Data
We utilized the FIREX-AQ Campaign data, EO data sources such as NASA's Terra, Aqua, Aura and Landsat satelites, the GPM satellite constellation, the NASA-USDA Global Soil Moisture data.
TERRA explores the connections between Earth's atmosphere, land, snow and ice, ocean, and energy balance to understand Earth's climate and climate change and to map the impact of human activity and natural disasters on communities and ecosystems.
AQUA satellite's mission is responsible for measuring the water and ocean vaporization, and clouds in the atmosphere. Liquid water and ocean, land ice, ocean ice, temperature, precipitation, energy flux radiation.
AURA helps to obtain the measures of the composition of Earth’s atmosphere and solar spectral irradiance (SSI), providing essential data for understanding how Earth’s radiation balance, air quality, and ozone layer respond to changes in atmospheric composition caused by both human activities and natural phenomena.
With these satellite transmitting high quality data, we can get regularization of ultraviolet (UV) radiation in ozone-depleting substances and also protects vegetation and plants – and their ability to pull carbon from the atmosphere.
This inspiring is Titanium's team about the importance of sharing how the atmospheric chemistry and dynamics of world protection through the research results!
Hackathon Journey
Our experience with the Nasa Space apps was very interesting and diferent from everything that we have ever experienced. Although being our First time in a Hackathon we embraced the Challenge and with our diferente competences have done a good job.
What have inspired our team to take this Challenge was the capacity to develop not only a educational project but a way to activly contribute to many different communities using the Data from Nasa.
First of all we look for understand our public and their necessities, having that in mind, we had the idea to integrate people, organizations and The Nasa Data in one big network, in order to promote practicality in prevention of fire and Help people affected by Its consequences.
Our main problema were relate to time shock and other obligations, so basically we share tasks and we actively use whatszap to communicate with each other.
We would like to thank all the organization and the support they gave. And a special thanks to the monitors which helped us to direct our ideas.
References
Keane RE, Gray K, Bacciu V, Leirfallom S. (2012) Spatial scaling of wildland fuels for six forest and rangeland ecosystems of the northern Rocky Mountains, USA. p.1231
https://www.fs.usda.gov/rm/pubs_other/rmrs_2012_keane_r002.pdf
Fires NASA Earth Observatory
https://earthobservatory.nasa.gov/global-maps/MOD14A1_M_FIRE
Temperatura da superfície da Terra (TERRA/MODIS)
https://neo.gsfc.nasa.gov/view.php?datasetId=MOD_LSTD_M&date=2022-08-01
NCEP NCAR
https://www.climate.gov/maps-data/dataset/average-wind-speeds-map-viewer
Vegetation NASA Earth Observatory
https://earthobservatory.nasa.gov/global-maps/MOD_NDVI_M
FIREX-AQ
https://csl.noaa.gov/projects/firex-aq/
NASA Global Precipitation measurement
https://gpm.nasa.gov/data/imerg
NASA Air quality
https://terra.nasa.gov/citizen-science/air-quality/part-ii-track-pollution-from-space
NASA Soil Moisture Data
https://earthobservatory.nasa.gov/images/92228/nasa-soil-moisture-data-advances-global-crop-forecasts
NASA Drought through soil moisture
https://earthobservatory.nasa.gov/images/150138/tracking-deluge-and-drought-through-soil-moisture