Team siyaSAT

https://www.canva.com/design/DAErw4S0oc8/0QyV3aL9L0EY69l0LBOpuQ/view?utm_content=DAErw4S0oc8&utm_campaign=designshare&utm_medium=link&utm_source=sharebutton

https://github.com/siya-SAT/CrashLandslideOnYou.git

2020 hit the people of Bicol, Philippines with devastating storms, typhoons and even a volcanic eruption near the start of the year. But in November 2020 along with the ravages of typhoon Ulysses, the region experienced 21 landslides within 11 municipalities and unfortunately lost 2 lives. Landslides can be caused through immediate factors like flash floods or earthquakes but can be a ticking time bomb that’s ready to ruin lives and communities that do not see its adverse effects at an early stage. In a global perspective, nearly 1,700 deaths occur in a 7-month period according to PBS along with major infrastructure and livelihood destruction. So what can we do about it?  

Crash Landslide On You is a landslide action dashboard that both aims to analyze and disseminate information about landslide-prone areas based in Santo Domingo, Albay using pre-existing data from satellite imaging and local municipalities along with a SMS and social media based communication platform. Through the power of data analytics and information awareness, the team aims to mitigate the dire effects of landslide-caused casualties and destruction within the municipality of Santo Domingo that has been labeled as a landslide-prone area in the region.

The project has 2 distinguishable phases: landslide hazard analysis and information dissemination. Both phases work in tandem in order to provide necessary warnings for people living or working near landslide prone areas and provide evacuation and disaster preparedness tips. The team will use manual data collection from satellites and observation stations from NASA(National Astronomical Aeronautics and Space Administration), PAGASA (Philippine Atmospheric Geophysical and Astronomical Service Administration) and Phivolcs (Philippine Institute of Volcanology and Seismology). The resource packages used by the team involve python for the data analyses and index formation

The landslide Hazard Analysis phase would be done internally. Using data about the topography, specifically surface elevation/slope, precipitation and pre-existing hazard maps. According to the NASA Landslide Hazard Assessment for Situational Assessment, precipitation and elevation are the main factors that cause landslides. Flood-induced ;landslides are the primary landslide most frequently in the Philippines according to PAGASA. Using indexes provided by satellite data along with python for data analysis we will be able to picture Albay and the landslide prone areas through maps and text alerts. The formulation of the landslide index will depend on each coefficient that is obtained using multiple linear regression analysis involving each variable. The data input will be based on the index formed and multiplied using the coefficient, after which all variables will be summed together to obtain the landslide index. Such data will be synched together with pre-existing hazard maps that will show more accurate locations of possible landslide areas. 

The information dissemination phase will be SMS-based and will incorporate messages in Filipino or in the Bicol-Legazpi dialect in order to appeal and be understood by the locals. Text alerts will be provided to risky to very high-risk prone areas along with evacuation and disaster preparedness tips. The feature will be programmed using python and will be automated after the data analytics phase is completed. More precise data shall be sent in social media platforms for wider coverage in order to account for possible help from other people outside the landslide-prone areas.

This project fosters both the resiliency and preparedness of Filipinos as we try to prevent one of the most unexpected yet devastating calamities that may hit communities. The Philippines is a country that needs space technology and innovation as we are one of the most disaster prone countries in the world. Through this project, we can also share to Filipinos and other nations the capabilities of space technologies in providing information and in saving lives.

Precipitation: GPM IMERG Final Precipitation L3 1 month 0.1 degree x 0.1 degree V06 (GPM_3IMERGM) at GES DISC Source: EarthData-NASA

Topography, Slope and Evaluation: IceBridge BedMachine Greenland V004 Source: EarthData-Nasa

Hazard Mapping: Nationwide Operational Assessment of Hazards (NOAH) Landslide Hazard Map Source: Nationwide Operational Assessment of Hazards (NOAH

Space Apps is an avenue to learn and to build personal relationships. Our team is composed of the best from our organization, Space Innovators Youth Alliance. As a starting organization, we learned a lot about the challenge we tried to solve and about each other personally. Actually, we based our solution on one of our member’s places since last year they experienced a landslide. This is something we don’t want to be experienced by our friends, along with their families, in the future. 

Along the way, we struggle the most in putting into work our ideas. Being still high school students, finding the correct data, analyzing, and programming is the most difficult setback throughout the journey. With the guidance of our dearest mentors, Sir JM, Sir CK, Sir J Franco, Ms. H, and others, we were able to stitch our ideas together. They helped us set the first step in achieving our solution. They shared with us different youth-friendly platforms that can be used to analyze the data we gathered. With their expertise, they helped us refine our idea also so that we can put it into work. Without them, we won’t be submitting anything.

NASA Space Apps really challenged us to exceed our capabilities. We learned to not only program and analyze data but also to collaborate as a team. We worked with a goal in mind that is to bring a data-driven solution to landslide and safety to Bicolanos. With that said

https://search.earthdata.nasa.gov/downloads/8364534865?m=8.336945879180874!56.7333984375!7!1!0!0%2C2

https://www.namria.gov.ph/products.aspx

https://energydata.info/dataset?vocab_country_names=PHL&_vocab_country_names_limit=0&page=1

https://noah.up.edu.ph/

https://search.earthdata.nasa.gov/downloads/9525534668

Resource Packages:

h5py==3.4.0

matplotlib==3.4.3

numpy==1.21.2

pandas==1.3.3

Pillow==8.3.2

#CrashLandslideOnYou #KapangyarihanngSampu #SpaceAppsPH #siyaSAT

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