Voyager 2021

https://drive.google.com/file/d/10iKvmRvZQyHOA9QczJt3qcGdPwhY_1m7/view?usp=sharing

https://drive.google.com/file/d/1WsSI8LqW6q6wVt6aMDVtSa3Q3-qcSIyz/view?usp=sharing

Our project aims to optimize existing technologies in order to anticipate landslides, as well as calculate the total area that will suffer damage by the landslide to be able to avoid a greater tragedy in places where there is a tendency of landslides. This optimization would occur through an application, which will receive information from a device capable of measuring the humidity of the earth, another device that shows the rainfall index of the selected locations, and finally a system that detects the movements of the soil by laser signals. For the application to work it will also be necessary for some satellites to collect information and data for the careful selection of the specific locations where the devices will be implemented. Data such as surface reflectance, as this is useful for measuring urbanization and land use. Moderate resolution satellite-borne instruments used for this measurement include the Moderate Resolution Imaging Spectroradiometer (MODIS ) instrument onboard NASA's Terra and Aqua satellites and the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the joint NASA / NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) satellite and the NOAA-20 satellite. However only the knowledge of the Earth's surface is not enough to achieve our goal, it is still necessary to know the levels of rainfall and its intensity, for this we will use information from the site www.sharaku.eorc.jaxa.jp/GSMaP_NOW/, this site provides the status of precipitation in the world observed using the GPM Core Observatory etc. It shows the status of precipitation in the world up to about 1 hour ago as of now, almost in real time. To supplement the data we will still use data from NASA's Global Terrestrial Data Assimilation System version 2 (GLDAS-2). The device will send the rainfall and soil moisture data to their respective satellites. The application will have the function of cross-referencing the location specific data from each device, if the devices detect anything out of the norm in their respective locations the application will alert the relevant authorities for action to be taken, and will also alert the local population for safe evacuation before the landslide occurs. Therefore, we can conclude that with the implementation of these devices and applications in society it will be possible to prevent tragedies from occurring as recurrently as they have been happening around the world. For, the application will integrate the devices and satellites making the communication and action faster and more efficient, besides, it will be possible to estimate the area that would suffer damages by landslides

The choice of information for our project was based on the information that would add most to our purpose, measuring soil moisture in order to anticipate landslides, thus preventing major tragedies. With this in mind, it is necessary to know the steep areas occupied by the population, which are considered the areas of greatest risk. For this we chose to collect data from satellites that brought data on the reflectance of the earth's surface, which is a measure of the fraction of solar radiation reflected from the Earth's surface to a sensor transmitted by satellite or aircraft. Surface reflectance is useful for measuring urbanization and land use. Moderate resolution satellite-borne instruments that are used for this measurement include the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA's Terra and Aqua satellites and the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the joint NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) satellite and the NOAA-20 satellite. MODIS acquires measurements in 36 spectral bands and at three native spatial resolutions: 250 m, 500 me 1,000 m, depending on the band. VIIRS provides 22 spectral bands at two spatial resolutions (375 me 750 m), which are resampled to 500 m, 1 km, and 0.05 degrees in the data products produced by NASA to promote consistency with MODIS heritage. MODIS data are acquired every 1 - 2 days, while the wider swath width of VIIRS allows for daily global coverage. However, just knowing the Earth's surface is not enough to achieve our goal, we still need to know the rainfall levels and their intensity, for this we will use information from www.sharaku.eorc.jaxa.jp/GSMaP_NOW/, this site provides the status of precipitation in the world observed using the GPM Core Observatory, etc. It shows the status of precipitation in the world up to about 1 hour ago as of now, almost in real time. To supplement the data, we will still use data from NASA's Global Terrestrial Data Assimilation System version 2 (GLDAS-2), which has three components: GLDAS-2.1 is forced with a combination of model and observational data from 2000 to the present. The GLDAS-2.2 product sets use data assimilation (DA), while the GLDAS-2.0 and GLDAS-2.1 products are "open-loop" (i.e., no data assimilation). The choice of force data, as well as DA, variable and scheme observation source, vary for different GLDAS-2.2 products.

We from the Voyager 2021 team believe it was a very valid and positive experience, as this project allowed us to develop teamwork skills, especially in communication. The choice of this challenge was quite easy, our whole team agreed on the choice of Drones and Satellites for Urban Development, as it seemed to be an interesting and modern challenge for the moment we live in. We chose to approach this challenge in a way in which all members had a fundamental participation in all areas of this work. We all understood the importance of acting together and we believe that this team mentality made the progress and development of our ideas easier, making us overcome any setbacks or challenges in our project. Our team would like to give a special thanks to our teacher Isabel Sartori for guiding us in this project in an incredible way.

Project References:

Sensor to monitor landslides in real time - https://agenciabrasil.ebc.com.br/geral/noticia/2015-08/maua-tera-sensor-para-monitorar-deslizamentos-em-tempo-real

Landslide alert using geographic information systems - https://www.mackenzie.br/fileadmin/ARQUIVOS/Public/1-mackenzie/universidade/laboratorios/labgeo/2018/Ajustes/OAS_2013_Alerta_de_deslizamento_de_terra_usando_SIG.pdf

RedeGeo starts installing equipment to monitor landslides - https://mundogeo.com/2019/05/14/redegeo-inicia-instalacao-de-equipamentos-para-monitorar-deslizamentos/

NASA EOSDIS WorldView - https://worldview.earthdata.nasa.gov/?v=-165.33451172276506,-66.56540152303401,86.20266886566702,56.18998296204977&l=MODIS_Combined_L3_IGBP_Land_Cover_Type_Annual,Reference_Labels_15m(hidden),Reference_Features_15m(hidden),Coastlines_15m,VIIRS_SNPP_CorrectedReflectance_TrueColor(hidden),MODIS_Aqua_CorrectedReflectance_TrueColor(hidden),MODIS_Terra_CorrectedReflectance_TrueColor&lg=false&t=2018-12-04-T20%3A02%3A26Z

JAXA Realtime RainFall Watch - https://sharaku.eorc.jaxa.jp/GSMaP_NOW/

#Satellites #UAV #UrbanDevelopment #LandSlides #AlertMe

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