Fatecanos

https://youtu.be/VDntf4GF8Do

https://github.com/fatecanoshackathon/hackathonnasa2021

WARNING: THINGS ARE GETTING HOT!

PROBLEM: Heat waves are often associated with droughts and forest fires that have billion-dollar impacts on national and global societies.

EFFECTS: These phenomena appear to be increasing in frequency, intensity and duration, and affect the water-energy-food nexus with consequent impacts on social and economic structures

ADVERSE EFFECTS: Environmental co-factors that are related to heat waves and heat stress and affect health include air pollution, exacerbation of pre-existing health conditions, and the availability or unavailability of infrastructure.

PROPOSAL: SIMPLIFY AND MAKE INFORMATION ACCESSIBLE IN A SIMPLE AND DYNAMIC WAY TO GOVERNMENTAL AND NON-GOVERNMENTAL AGENCIES FOR THE PURPOSE OF MITIGATION AND TREATMENT OF POSSIBLE RISKS.

OBJECTIVES: 

1. develop tools to generate heat-related hazard warnings. 

2. Use Earth Observations (EO) and models along with local crowdsourced data to provide warnings 

2.1. (e.g., heat stress intensity duration levels), 

2.2. estimate potential human and environmental/ecological impacts

3. provide guidance on mitigation measures 

3.1. that could be adopted at individual and state / national policy levels. 

4. Laptop / smartphone app that can generate a heat stress risk alert level (red, yellow, green)

4.1 filters by selected area (e.g. city, county, country)

4.2 filters by potential risk

4.3 risk categories: forest fires , air pollution, crop damage, water and energy supply shortages.

The user interface needs to be simple, with intuitive templates, and the tool should require data or information that is readily available to the user before a risk level can be estimated and displayed.

Translated with www.DeepL.com/Translator (free version)

The data that inspired our project are:

1. XML Weather Forecast - CPTEC/INPE

Data from the CPTEC/INPE Weather Forecast, UVI and Waves in pure XML format:

http://servicos.cptec.inpe.br/XML/#condicoes-tempo

2. EARTHDATASEARCH NASA

https://search.earthdata.nasa.go

(Source of all search data)

3. worldview NASA:

https://worldview.earthdata.nasa.gov/?v=-413.86392383822795,-174.43332052864585,265.2435145285458,135.28513462607523&z=2&i=2&l=VIIRS_SNPP_Thermal_Anomalies_375m_Night(hidden),VIIRS_SNPP_Thermal_Anomalies_375m_Day(hidden),VIIRS_NOAA20_Thermal_Anomalies_375m_Night(hidden),VIIRS_NOAA20_Thermal_Anomalies_375m_Day(hidden),MODIS_Aqua_Thermal_Anomalies_Night(hidden),MODIS_Aqua_Thermal_Anomalies_Day(hidden),MODIS_Terra_Thermal_Anomalies_Night(hidden),MODIS_Terra_Thermal_Anomalies_Day(hidden),OMPS_Aerosol_Index(hidden),OMPS_Aerosol_Index_PyroCumuloNimbus(hidden),IMERG_Precipitation_Rate,VIIRS_SNPP_DayNightBand_ENCC(hidden),VIIRS_SNPP_DayNightBand_At_Sensor_Radiance(hidden),Reference_Labels_15m,Reference_Features_15m,Coastlines_15m(hidden),VIIRS_SNPP_CorrectedReflectance_BandsM11-I2-I1(hidden),VIIRS_NOAA20_CorrectedReflectance_BandsM11-I2-I1(hidden),MODIS_Aqua_CorrectedReflectance_Bands721(hidden),MODIS_Terra_CorrectedReflectance_Bands721(hidden),VIIRS_NOAA20_CorrectedReflectance_TrueColor(hidden),VIIRS_SNPP_CorrectedReflectance_TrueColor,MODIS_Aqua_CorrectedReflectance_TrueColor(hidden),MODIS_Terra_CorrectedReflectance_TrueColor&lg=true&sh=VIIRS_SNPP_DayNightBand_At_Sensor_Radiance,C1989175258-LANCEMODIS&t=2021-10-01-T00%3A00%3A00Z

(Source of the inspiration for the climate alerts)

Participating in the Hackathon was a fantastic experience. We met several people, exchanged knowledge, and learned that we should always be in search of knowledge and learning. Our team chose this challenge because it is a reality in our region, climate problems have a strong impact on small farmers and forest fires. During the development our approach was to seek a solution as simple as possible for its commercial viability and distribution, and thus meet the demand of our audience. Our thanks to all the organizers of this event, NASA SPACE APPS CHALLENGE, and their team for the local event that took place in MARÍLIA, interior of São Paulo / Brazil, at UNIVEM College.

1 - SOURCE OF RESEARCH DATABASE

1.1 - XML Weather Forecast - CPTEC/INPE

Data from the CPTEC/INPE Weather Forecast, UVI and Waves in pure XML format:

http://servicos.cptec.inpe.br/XML/#condicoes-tempo

1.2 EARTHDATASEARCH NASA

https://search.earthdata.nasa.go

1.3 -worldview NASA:

https://worldview.earthdata.nasa.gov/?v=-413.86392383822795,-174.43332052864585,265.2435145285458,135.28513462607523&z=2&i=2&l=VIIRS_SNPP_Thermal_Anomalies_375m_Night(hidden),VIIRS_SNPP_Thermal_Anomalies_375m_Day(hidden),VIIRS_NOAA20_Thermal_Anomalies_375m_Night(hidden),VIIRS_NOAA20_Thermal_Anomalies_375m_Day(hidden),MODIS_Aqua_Thermal_Anomalies_Night(hidden),MODIS_Aqua_Thermal_Anomalies_Day(hidden),MODIS_Terra_Thermal_Anomalies_Night(hidden),MODIS_Terra_Thermal_Anomalies_Day(hidden),OMPS_Aerosol_Index(hidden),OMPS_Aerosol_Index_PyroCumuloNimbus(hidden),IMERG_Precipitation_Rate,VIIRS_SNPP_DayNightBand_ENCC(hidden),VIIRS_SNPP_DayNightBand_At_Sensor_Radiance(hidden),Reference_Labels_15m,Reference_Features_15m,Coastlines_15m(hidden),VIIRS_SNPP_CorrectedReflectance_BandsM11-I2-I1(hidden),VIIRS_NOAA20_CorrectedReflectance_BandsM11-I2-I1(hidden),MODIS_Aqua_CorrectedReflectance_Bands721(hidden),MODIS_Terra_CorrectedReflectance_Bands721(hidden),VIIRS_NOAA20_CorrectedReflectance_TrueColor(hidden),VIIRS_SNPP_CorrectedReflectance_TrueColor,MODIS_Aqua_CorrectedReflectance_TrueColor(hidden),MODIS_Terra_CorrectedReflectance_TrueColor&lg=true&sh=VIIRS_SNPP_DayNightBand_At_Sensor_Radiance,C1989175258-LANCEMODIS&t=2021-10-01-T00%3A00%3A00Z

#climate, #rain, #fire, #agribusiness, #firefighters, #heat, #cold

This project has been submitted for consideration during the Judging process.