2017 Projects

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Team:
Karthik Ravisankar, Thiruvadi Paul

Mentor:
Venkatrangan Thirumalai

 

e-farmerce Platform

Make the Agriculture Farms Searchable from Satellite Imagery with Crop Based Deep learning Models

 

We have used the power of Geospatial platform to process public and commercial satellite imagery, detect visual similarities between scenes, and apply machine learning to recognise different types of crops

Team:
Sumit Sharma, Lokesh Kumar Sharma, Mahendra

Mentor:
Sukanta Roy

 

F- Surveillance

F-Surveillance works on time series data using observational analysis of data, which provides useful information about farming.

 

Goals of F-Surveillance app: 1. Monitoring soil moisture, rainfall, air temperature, humidity, using sensors data. 2. Data analysis on time series data (temperature, humidity etc). 3. Observation analysis on crop related data. 4. Provides farmers with useful data about soil, the water supply, air temperature, humidity and other situation about their fields. 5. Provides annual/periodic statistics about the rainfall, wind, required time duration and different data. 6. Making the farmers's decision-making process easy in the way ""diversity of location and climatic effects upon agricultural cultivation, along with other environmental parameters"" over time using summary statistics. 7. Share information with farmer via SMS. 8. Animals monitoring:- It is also a problem faced by farmers. As many animals run into the fields for grazing the well grown crops. So we can monitor this by putting a sensor in the field. Whenever any animal will approach a field a sound stimuli will be generated to take away animal from the fence perimeter.

Team:
Brandt Melick, Vinith S. Menon, Anjesh Ravikesavan

Mentor:
Brandt Melick

 

Secure Public Portal

The City of Springfield, Oregon and the KGiSL Institute of Technology (Coimbatore, India) have teamed up to provide a secure public information portal based on NASA WorldWind technology.

 

Deploying a full open source stack, a rigorous hardening process and secure set of spatial ETL (extract, transform and load) connectors, the goal is open data through secure services. Solution supports community planning, design, construction and environmental protection. Future plans extend affordable public safety and medical services to underprivileged sectors of the community. The aim is an affordable open blueprint to develop and sustain basic public information services in an increasingly hostile cyber environment.

Team:
Jaminy Prabaharan

Mentor:
Brandt Melick

 

Smart tunnel bin, digising garbage management

We have come across many problems with trash bins such as non availability of trash bins, trash bins got stolen, overflow of trash bins, smell due to the long term accumulation of garbage, limited number of trash bins in a particular area etc. So there is a need for

 

 

Team:
Kiae Shin, Daniel Johnson, Julia L. Zhu

Mentor:
Professor Ron Fortunato

 

CitySmart WorldWise

Communities of the world are all having to address the same urban management and sustainability issues. Why must each city face these problems alone. We will share our urban management solutions with all!

 

Focus is on smarter communities by providing sharable models for: - Wind Farm: Design, cost, as-built construction plans, operations and maintenance data, along with lessons learned. - Water Purification and Treatment – monitoring and research techniques for assuring a community has safe water - Food/Agricultural Systems Development – accelerated greenhouse farming techniques - Resource Mapping and Inspection – full visual coverage for a community, including structure or environment evaluation, all student-generated data.

Team:
Olivia Zhang, Jadelin Nguyen, Julia L. Zhu

Mentor:
Anson Zhao

 

World Heritage Sites: Earth Viewer

FTAA - A World Bridge students are making a visit to UNESCO World Heritage sites as easy as it is informative.

 

While viewing the Earth from space, all World Heritage sites are visible. Zoom from satellite view to the World Heritage site, and access the culturally rich information. Additionally, the students carefully analyzed the UNESCO World Heritage site data. Cross-checking with multiple quality assurance/quality control (QA/QC) procedures, they identified and corrected several location errors, where the site is not located where it is supposed to be. Each World Heritage placemark is interactive, including site information, and links to the UNESCO website.

Team:
Vishal Soomaney Vijaykumar, Peter Jupp, Flinn Dolman

Mentor:
Lilian Blot

 

AWARE Algorithmic Wildfire Analysis and pREdiction

Using historical and real time data regarding wildfires and weather patterns to predict likelihood of a wildfire developing in forests around the world.

 

The Wildfire AWARE application uses machine learning modelling to predict the likelihood of a wildfire occurring in a given location, based on past, present and future weather data. The data is visualised in the WebWorldWind environment, within an easy to use and intuitive user interface. It can take days, if not weeks, to put a large forest fire out. It also takes a considerable amount of money and resources to put one out. Due to global warming, this is likely to get worse in the near future. If wildfires can be accurately predicted, which our app can do, residents in nearby towns and cities that could be affected can prepare evacuation plans and the authorities can take preventative measures to reduce the likelihood of a wildfire starting.

Team:
Al-Van S. Basco, Rogelio T. Novo Jr., Mark Rheyniel P. Rabaya

Mentor:
Carlo Hermogenes V. Cachola

 

HEAL-ME

Health, Education and Livelihood-Mapping Environment. A tool to map out key urban issues for of urban dwellers. People are the life blood of a city.

 

HEAL-ME will map the health condition of people according to gender and age in the urban area. This will help the local government better understand what health services needed. HEAL-ME will also map the education level of people in the urban area and help local government agencies to formulate training programs applicable to a given community. HEAL-ME will map work opportunities in the urban area for relevant training needs related to the job mapping.

Team:
Ankur Agrawal, Mayank Saurabh, Aitha Naga Sai Prasanth

Mentor:
Rahul Tomar

 

FarmsNtech

This project is based on agriculture and farming. So, It comes under GODAN project. FarmsNtech aims to help farmers by providing a complete understanding about the weather pattern to maximize the crop yield or lessen the loss they suffer from during adverse conditions.

 

This web app will analyze the weather pattern of a particular region based on farmer's location using NASA's Web World Wind and by this information: 1) Guiding the farmers throughout the process of growing crops like telling the ideal time time for soil preparation, sowing seeds, irrigation and harvesting the crop etc. by telling them about the climatic conditions like onset of rainfall and its maturity, dry season, wind, humidity etc. 2) The information will be shared with farmers through SMS or Whatsapp 3) This will help them to make all the necessary arrangements like ploughing the field, getting their soil tested, choosing the right seed based on weather conditions and soil content.This project is based on agriculture and farming. So, It comes under GODAN project. FarmsNtech aims to help farmers by providing a complete understanding about the weather pattern to maximize the crop yield or lessen the loss they suffer from during adverse conditions.

Team:
Xuantong Wang, Marta Blanco Castano

Mentor:
Jing Li

 

VisAIS: An Integrated Cloud-Based 4D Marine Traffic Data Visualization Tool

The proposed prototype will exhibit three main features. First, it will support marine and immigration data provided as geospatial web services (e.g., WFS), to facilitate data interoperability. When Integrated with World Wind, it can further provide multiple visualization methods to represent marine traffic information (e.g., ship tracking, density mapping) as well as demographic aspects around urban ports (e.g., Helsinki). It will thus focus on analyzing shipping-related information and marine transportation, by coupling environmental and social economic datasets. The tool hopes to assist with decision-making, particularly in cities experiencing changes in sustainability, immigration, and mass-movement of goods, people, and resources.

 

 

Team:
Arun Sharma, Justin Andrew Zwrick

Mentor:
Varun Chandola

 

webGlobe

Understanding impact of climate change on cities using webGlobe

 

The webGlobe system is a unique browser based resource for policymakers, researchers, and general public to understand the impact of climate change on their communities using simulation outputs from multiple climate forecast models. The system leverages the visualization capabilities for NASA WebWorldWind, along with the power of cloud, to allow users to interact with massive climate datasets, while being oblivious to the computational challenges associated with bringing such complex data sets to the browser.

Team:
Asmat Ali, Munir Ahmad, Tanzeel Ur Rehman

Mentor:
Mobushir Riaz Khan

 

Sports Facilities Finder

Goals: G1: To help find nearest sports facility G2: To help find optimal route G3: To assist urban planners G4: To help find heritage sites around a sports facility (Tentative)

 

Rapid and unplanned urbanization has severe impacts on healthy living. Where should we go and/or where should we send our kids to play is a fundamental question as well as concern for most of us. Sports Facilities Finder is a web app developed to search and visualize sports facilities located in Punjab province of Pakistan. All sports facilities like playgrounds, stadiums, gymnasiums, sports complex etc will be mapped along with road infrastructure and population density information around the facilities. The app will be instrumental for urban planning. The app makes use of satellite imagery in addition to locally collected data.

Team:
Simone Battaglia, Gabriele Prestifilippo

Mentor:
Gabriele Prestifilippo

 

Power Markers - Plugin

A plugin to handle easily your placemarks.

 

Power Markers allows handling easily all your placemarks in Web World Wind. You can create clusters and improve the performances by showing cluster just at specified zoom levels. You can change colors text and much more.

Team:
Ibrar ul Hassan Akhtar, Junaid bin Sarfraz

Mentor:
Ibrar ul Hassan Akhtar

 

Settlements Electricity Assessment Tool (SEAT)

To Assess and Develop a Satellite data based energy crisis in developing countries like Pakistan.

 

Satellite data for urban lights will be explored to understand local/regional urbanization process and level of human activity. This view will not only provide stunning night lights from space but also will help to assess energy availability, access and its use, especially in developing countries where energy is more like a crisis. This project will utilize free Day/Night Satellite imagery primarily for Pakistan and India. The main outcome will be a ratio of Earth surface with and without night lights, expansion of urban areas, and provide an understanding of monthly, seasonal and annual electricity using patterns through analyses of night lights. Free various sources based GIS data will also be used.

Team:
Haseeb Ahmed, Nimra Ejaz

Mentor:
Hamid Ch

 

Hospital Facility Finder

Goals and Objectives: Optimal Hospital location Optimal Route for Ambulance

 

Road vehicle accidents can occur anywhere on the road, with serious injuries. Ambulances and rescue teams are often delayed due to heavy traffic. Our analysis will find optimal paths for Response Teams to reach the accident and then optimize the rout to the nearest Hospital. All Hospitals are marked on the map with the optimum route.

Team:
Khaled Sharif, Farah Salah

Mentor:
Patrick Hogan

 

World Weather

4D interactive web browser of the world’s satellite-based climate and other time-aware weather data.

 

Understanding our climate is one of the most pressing issues of our time, which is why international organizations have been setting up satellites and capturing real-time data of Earth’s atmospheric conditions. With one platform on which the information from the myriad of different data sources can be brought together, and displayed accurately in 3D, we would have the opportunity for a truly comprehensive view of the changes occurring to the Earth’s climate. It is also desired to allow any user to interactively view historical, current, and forecast weather information. World Weather is the first web application to display this broad range of weather and other global spatial data in 3D/4D. This gives the world community a customizable experience that can be utilized by weather forecasters, research scientists studying climate change, and intrigued planetary data enthusiasts.

Team:
Candan Eylul Kilsedar

Mentor:
Jakub Balhar

 

3D OpenStreetMap

The goal of this project is to create a plugin API to display OpenStreetMap (OSM) data on NASA Web World Wind virtual globe in three dimensions.

 

The API fetches the OpenStreetMap (OSM) data in real time based on a bounding box. The project focuses on the performance of the visualization of 3D OSM buildings, and for this purpose creates triangle meshes based on the footprint and height information available in OSM. If height information is absent it uses an arbitrary value. The API can also create a heatmap based on the heights of the buildings. The API uses also caching and tiling to improve the performance.

Team:
Xuequan Zhang, Rong Zheng, Boyue Pan

Mentor:
Peng Yue

 

REGlobe: a virtual globe based real estate app

REGlobe is a virtual globe based real estate web app which provides an informational environment for house buyers to understand, compare and contrast the investment value of real estate.

 

This project mainly includes two models: one is predicting the community house price through public infrastructure distribution, the other is predicting the specific house price through VGI data.

Team:
Gabriele Prestifilippo, Simone Battaglia, Giulia Petrillo

Mentor:
Jakub Balhar

 

MuViAS

Multidimensional Visualization and Analysis Suite

 

MuViAS born as a tool to visualize multidimensional datasets implementing a doxel model. The application is working on top of the NASA Web World Wind framework. The development of this project took inspiration from the EST-WA developed by MuViAS implements many new functionalities and works on the Web with great performances, thanks to many HTML5 and WebGL techniques that permit to handle big amount of data over the web. This year, MuViAS will support many new features and data formats: WMS - CSV - SurfaceAnalysis - GeoJSON -GeoTIFF - KML - Images A new User Interface, improved performances and much more! Update: Thanks to the collaboration with Universit� di Bologna, Marker Clusters functionalities, and 3D Heatmap will be integrated. N.B. The new version will be online within few weeks. New members are now joining the team and will be announced in the following days

Team:
Ankit Kaler, Shivam Thakur, Pranjal Singh

Mentor:
Prof. Har Amrit Singh Sandhu

 

EXODUS

Monitoring and Regulating the approaching traffic and manipulating the signal time accordingly

 

According to Petroleum Conservation Research Association, on an average 0.45litres/hour of fuel is lost per day due to idling of vehicles at traffic intersections in Delhi(India). Therefore the need of the hour is to reduce delays and increase response time, consumption of fuel and safety of people. By using the mobile’s GPS the location of vehicles will be traced and sent to master application. The timing for the traffic signal will be manipulated as per the approaching traffic density. The hindrance due to increasing traffic densities for emergency vehicles, such as ambulance, will also be dealt so that they can get smooth and hurdle free passage.

Team:
Thunyathep Santhanavanich, Giuliano Baumann, Patrick Wuerstle

Mentor:
Prof. Volker Coors

 

Smart Pollen Monitoring

Smart Pollen Monitoring is a 3D-web-based application project that facilitates a visualization of trees with the analyzed areas of their pollen dispersion in the city area. It aims to help the people with tree pollen allergies to make the right decision about all their activities.

 

Smart Pollen Monitoring is an application that illustrates the current and historic behavior of pollen dispersion at a specific location from each tree directly. It analyzes the area of high pollen dispersion dynamically according to the tree location, tree type and wind information by the period of time. Additionally, it is possible for users to enter the new tree data which has not yet existed in the application. Overall, it aims to help the people with tree pollen allergies to make a right decision about all their activities for example to select the right place for living or to plan the route to travel which has low level of pollen dispersion.

Team:
Perttu Lahteenlahti, Felix Lindholm, Jonne Huotari

Mentor:


 

Perfekt City

Perfekt City is a tool for simulating and planning cities. With Perfekt City you can easily see historical data of how city has developed, and an estimation of how it might develop in the future.

 

Perfekt City is a tool for simulating how simulating how different factors affect to the the city development. With our tool you can easily look at both the historical data as well estimation of how the city will evolve. The user interface is simple to and allows you to select different preselected data sets, and visualize their their temporal change easily. We see that this tools provides aid especially in city planning and in creation of city development plans. The current version is a web application that makes use of NASA Web World Wind framework. We have focused on Helsinki are, to develop the first phase of our tool. City of Helsinki provides several open datasets, from example Helsinki Region Infoshare and OpenAhjo. With World Wind we are able to easily visualize, both spatially and temporally, different data sets. Our goal is also provide meaningful analysis, which no other tool currently provides.

Team:
Nuutti Helminen, Antti Salmi, Teemu Annala

Mentor:
Konsta Weber

 

Festapp

Event app that shows diffenrent kinds of events on the map and by clicking the icons you can see more of the event for example time of the beginning and the exact location

 

It also makes life more easier while searching something to do in cities. Please notice that we are only 16 years old.

Team:
John Nguyen, Mingda Tang, Stacey Chen

Mentor:
Patrick Hogan

 

AgroSphere

An educational web application that visualizes the effects of climate change on agriculture using a large collection of global agriculture and climate data.

 

The WorldWind 2017 Intern team at NASA Ames Research Center has designed an educational web application to visualize the effects of climate change on national agriculture. We incorporated spatial data analyses tools for agriculture production as aligned with climate. Data from a myriad of file formats are made transparent to the user and are organized, analyzed and visualized on the globe. Users can click on the respective nations for viewing this Earth-scale statistical information. The result provides details specific to the performance of agriculture versus climate, for user-specified crops and time-frames. This web app is intended for use in classrooms by teachers and students, as well as citizens of the world.

Team:
Lauri Häme, Joni Norppa, Atte Korhonen

Mentor:


 

Satellio Berry Monitor

Satellio Berry Monitor uses World Wind technology to visualize the locations where you are most likely to find blueberries in Finland. The results are based on open satellite data (Landsat, Sentinel) combined with open land cover and forestry data (Corine, VMI).

 

 

Team:
Thomas Langerak, Milda Norkute, Abhishek Shetty

Mentor:
Matti Kummu

 

Farmate

Farmate is a web platform built using NASA WorldWind, designed to help farmers keep track of water levels in their fields and give them recommendations on how much irrigation they need to do on each day. We believe this will help conserve fresh water while increasing farming efficiency.

 

Full documentation and code - https://github.com/abhishek-rs/farmate Video - https://www.youtube.com/watch?v=dtH9tWK7TA4 About page - https://farmate-f4c81.firebaseapp.com/about

Team:
José Vicente Higón, Óscar Martínez, Joaquín del Cerro

Mentor:
Alvaro Anguix

 

gvSIG Suite: Building a professional 3D GIS Suite

The goal of the project is to advance in the construction of a professional software suite for the management of geographical information in 2D and 3D. For this objective, we have worked on the integration and improvements of three main components: - gvSIG Desktop, to represent data spatially, desi

 

The goal of the project is to advance in the construction of a professional software suite for the management of geographical information in 2D and 3D.

Team:
AMahdy Abdelaziz, Gayathri Murukesan, Nitin Agrawal

Mentor:
Erika Halonen

 

Drone-Trek

Fast and reliable, solution oriented package for monitoring water quality in urban and suburban water bodies using drone technology.

 

We propose user-oriented and multi-faceted service package based on aerial spatial monitoring using drones, targeted towards both individual users and larger entities such as municipalities and other private users. We offer water quality evaluation of natural water bodies. Our drones would be employed to monitor Baltic Sea and Finnish water bodies for algal blooms, oil or chemical spills. In addition, our drones are equipped to perform automated water sampling to a programmed GPS location. The application allows rapid data collection and remote access; it can be performed in conditions when target locations are difficult to access (such as remote water bodies), dangerous (biohazard risk) or expensive (aerial monitoring using helicopters). The application’s versatility and user-friendliness is estimated to improve over time using a feedback loop from the users. https://amahdy.github.io/DroneTrek/

Team:
Femi Oyeniyi, Goke Adebayo

Mentor:
Prof. O.J. Babayemi

 

Animal and feed resource Tracking

A technological solution to the menace caused by nomadism of herdsmen

 

Use of tags to identify each grazing cattle and monitor its movement; the location of suitable pasture (grown through hydroponics) that the animal can legally graze on is also known and so purchase is made for the feed resource.