TehnoIuHas| Data Discovery for Earth Science

Awards & Nominations

TehnoIuHas has received the following awards and nominations. Way to go!

Global Nominee

Data Discovery for Earth Science

Websites like the NASA Earth Observatory showcase the many uses of satellite data to highlight interesting natural events. International partner instruments on NASA satellites such as Japan’s ASTER instrument and Canada’s MOPITT instrument, both onboard the Terra satellite, are also included as part of the Observatory. This challenge will ask you to devise a tool or technique to guide users to relevant datasets to study specific events.

TehnoIuHas Search tool

Summary

During this hackathon, team TehnoIuHas has been working on developing a tool forsearching through NASA’s datasets. Our solution, that come to help people seeking informationthrough NASA’s Earth Observatory, is a user-friendly website that provides information to usersaccording to their need, in other words, the keywords they introduce in the search bar. We havedeveloped our website with the following options: 1a user-friendly interface and comfortable in use; 2provide the images for the information you want to find out about that redirect you to the3necessary pages when you click on them; 4it is available for any geographical area; it sends you an email with the links you are lookin

How We Addressed This Challenge

Our team developed a user-friendly website that provides information to users according to their needs. It is iportant because it helps people seeking information through NASA's database. Basically it uses all NASA's dataset and provides the most relevant information for you in some links using a search engine. Our goal is to reduce the amount of time needed to search information from NASA's database.

How We Developed This Project

Our team was inspired to choose this challenge because we all wanted to make users life easier in the research time. We used html, css and javascript for making a search website. Some of the problems that we had were finding all the data needed for making the search tool and also to gather the search engine and the website.

How We Used Space Agency Data in This Project

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

https://www.sentinel-hub.com/spaceapps_challenge/

We used this websites as an example of what we want to achieve

Project Demo

https://drive.google.com/file/d/1UG4nxrtijdBo-mHfNSGxpT-4huHISs5j/view?usp=sharing

Project Code
Data & Resources

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

https://www.sentinel-hub.com/spaceapps_challenge/

https://earthobservatory.nasa.gov/topic/earthquakes

https://www.kaggle.com/kmlyldrn/earthquakes

https://www.kaggle.com/gpreda/lanl-earthquake-eda-and-prediction

https://www.kaggle.com/usgs/earthquake-database

https://www.kaggle.com/c/LANL-Earthquake-Prediction

https://www.kaggle.com/mahadevmm9/earthquake-prediction

https://www.kaggle.com/caganseval/earthquake

https://earthobservatory.nasa.gov/images/77489/tracking-debris-from-the-tohoku-tsunami

https://earthdata.nasa.gov/esds/competitive-programs/access/deploying-gnss

https://spaceplace.nasa.gov/tsunami/en/

https://www.kaggle.com/noaa/seismic-waves

https://www.kaggle.com/andrewmvd/tsunami-dataset

https://www.kaggle.com/rainmaker29/deepoceanstsunami

https://www.kaggle.com/huseyincot/inlandsea-tsunami-damage

https://www.kaggle.com/alcheng10/bom-weather-observation-data-select-stations

https://volcano.si.edu/search_eruption.cfm

https://earthobservatory.nasa.gov/features/Volcano

https://www.kaggle.com/smithsonian/volcanic-eruptions

https://www.kaggle.com/texasdave/volcano-eruptions

https://www.kaggle.com/martincontreras/volcanic-eruptions-dataset-all-to-2020

https://www.kaggle.com/ramaria/volcanic-eruptions

https://earthobservatory.nasa.gov/topic/landslides

https://earthobservatory.nasa.gov/images/144739/floods-and-landslides-in-chimanimani

https://earthobservatory.nasa.gov/images/89937/a-global-view-of-landslide-susceptibility

https://www.kaggle.com/nasa/landslide-events

https://earthobservatory.nasa.gov/images/84339/quake-induced-avalanche

https://earthobservatory.nasa.gov/topic/floods

https://www.kaggle.com/tjjohn/damages-suffered-due-to-floods-in-india

https://www.kaggle.com/yassinezayani/flood-prediction

https://www.kaggle.com/getthedata/open-flood-risk-by-postcode

https://www.kaggle.com/imdevskp/kerala-floods-2018

https://www.kaggle.com/joint-research-centre/flood-hazard-map-for-europe-and-the-world

https://apps.ecmwf.int/r/cdb/

https://www.kaggle.com/gajjadarahul/tropical-cyclone-historical-data

https://www.kaggle.com/taylorhickem/tropical-cyclone-ace

https://www.kaggle.com/sadmansaron/cyclone-amphan-tweets

https://www.ncdc.noaa.gov/climate-information/extreme-events/us-tornado-climatology

https://www.kaggle.com/wxexplorer/yearly-united-states-tornado-data-per-state

https://www.kaggle.com/gunbl4d3/alabama-tornado-dataset

https://www.kaggle.com/jtennis/tornado-losses-2016

https://www.spc.noaa.gov/wcm/

https://earthdata.nasa.gov/earth-observation-data/near-real-time/hazards-and-disasters/dust-storms

https://earthdata.nasa.gov/learn/pathfinders/wildfire-data-pathfinder

https://earthdata.nasa.gov/learn/toolkits/wildfires

https://www.kaggle.com/elikplim/forest-fires-data-set

https://www.kaggle.com/gustavomodelli/forest-fires-in-brazil

https://www.kaggle.com/atulyakumar98/test-dataset

https://www.kaggle.com/vikasukani/forest-firearea-datasets

Tags
#TIH #web-development #DataDiscoveryforEarthScience #SpaceAppsChallenge
Judging
This project was submitted for consideration during the Space Apps Judging process.