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BKeystone Team
Project:LOCAL DISASTER
MANAGEMENTS WITH NASA
DATA SHARING
Team Members:Demir DEMIREL/Cinar OKUMUS/Egemen BAKIN/Alya Su YAZICI/Yaman
TERCAN/Demir UCAR
LANDSLIDE
• A landslide is the downward and outward movement of a slope of
rock or artificial fill material under the influence of gravity, slope,
water, and other similar forces. ... Landslides are a very common type
of mass movement that occurs very frequently on earth.
• Various researches and information have been
published in many countries about the
landslides that have occurred in recent years. In
the statistics, it has been understood that the
digital maps showing the data used in the
geographical systems provide precautions for
today's landslides. With these maps, the
probability ratios of landslide areas can be
determined. Studies are in progress for the
parameters used on the maps but not yet
proven. Landslide; It is graded in direct
proportion to the regional, climatic, soil
structure, soil slope, vegetation, the amount of
precipitation the region receives, and the
landslide history of the region.
• Using this information, we
designed a machine called
DRONE, which has a predictive
feature of landslides, and STEP
63 to compact the stones and
soil in the region in order to
prevent the deadly
consequences of severe
landslides, especially in some
regions of the world. We used
an underground power for STEP
63.
• In addition, we 3D modeled a map
showing the regions of the country
with high landslide risk. In our
software work, we aimed to transfer
data between AFAD and COOLR. We
used an ARDINUO circuit inside the
data center we made.
• We have modeled a DRONE that will
detect possible landslide signals by
reconnaissance in landslide areas,
notify the authorities, take
precautions and prevent major losses.
We modeled 3D maps to indicate risks
and give people a chance to think
more clearly. This DRONE memorizes
the existing landslide statistics map
and in line with this information, it has
the equipment to go on a
reconnaissance tour in areas with high
landslide risk in the region and emit
signals in case of danger. The DRONE
will transmit the signals of the risky
areas it detects to the Crowdsource
Reporter. However, data from COOLR
authorities is collected in the
Crowdsource Reprter. Therefore, the
data is collected under a single roof.
COOLR officials share their data with
AFAD in order to protect the landslide
area and protect it from great losses.
A system model is created to
implement the application for this
data transfer between COOLR and
AFAD officials. The AFAD team flies
their DRONEs to data.
Resources
• Tinkercad
• Visual Studio
• Excel
• Activinspire
• Google
• Google Academic
• ArcGIS
• Crawd source reporter

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  • 1. BKeystone Team Project:LOCAL DISASTER MANAGEMENTS WITH NASA DATA SHARING Team Members:Demir DEMIREL/Cinar OKUMUS/Egemen BAKIN/Alya Su YAZICI/Yaman TERCAN/Demir UCAR
  • 2. LANDSLIDE • A landslide is the downward and outward movement of a slope of rock or artificial fill material under the influence of gravity, slope, water, and other similar forces. ... Landslides are a very common type of mass movement that occurs very frequently on earth.
  • 3. • Various researches and information have been published in many countries about the landslides that have occurred in recent years. In the statistics, it has been understood that the digital maps showing the data used in the geographical systems provide precautions for today's landslides. With these maps, the probability ratios of landslide areas can be determined. Studies are in progress for the parameters used on the maps but not yet proven. Landslide; It is graded in direct proportion to the regional, climatic, soil structure, soil slope, vegetation, the amount of precipitation the region receives, and the landslide history of the region.
  • 4. • Using this information, we designed a machine called DRONE, which has a predictive feature of landslides, and STEP 63 to compact the stones and soil in the region in order to prevent the deadly consequences of severe landslides, especially in some regions of the world. We used an underground power for STEP 63.
  • 5. • In addition, we 3D modeled a map showing the regions of the country with high landslide risk. In our software work, we aimed to transfer data between AFAD and COOLR. We used an ARDINUO circuit inside the data center we made.
  • 6. • We have modeled a DRONE that will detect possible landslide signals by reconnaissance in landslide areas, notify the authorities, take precautions and prevent major losses. We modeled 3D maps to indicate risks and give people a chance to think more clearly. This DRONE memorizes the existing landslide statistics map and in line with this information, it has the equipment to go on a reconnaissance tour in areas with high landslide risk in the region and emit signals in case of danger. The DRONE will transmit the signals of the risky areas it detects to the Crowdsource Reporter. However, data from COOLR authorities is collected in the Crowdsource Reprter. Therefore, the data is collected under a single roof. COOLR officials share their data with AFAD in order to protect the landslide area and protect it from great losses. A system model is created to implement the application for this data transfer between COOLR and AFAD officials. The AFAD team flies their DRONEs to data.
  • 7. Resources • Tinkercad • Visual Studio • Excel • Activinspire • Google • Google Academic • ArcGIS • Crawd source reporter