Struckture - Space Apps Challenge

Struckture| Planet, With People

Awards & Nominations

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

Global Nominee

Planet, With People

Your challenge is to build on the Human Planet Initiative of the Group on Earth Observations to apply new methods for mapping attributes of human populations. How can Human Planet data from NASA and other sources be used to improve or update maps or other information important to a problem that concerns you? Design or create a tool or service to accomplish this.

TIME-LAPSE: TIME-Landscape Alterations and its Perceived Socioeconomic Effects

Summary

TIME-LAPSE is primarily a decision-making tool designed to help policy-makers and researchers in formulating land development projects that are scientifically sound and sustainable in the long run.TIME-LAPSE provides an online mapping interface that will track the effects of landscape changes to the socioeconomic status in different parts of the country. It uses local data gathered from different government agencies and NASA's data to create an updated visualization of satellite images of different parts in the country through the years.

How We Addressed This Challenge

TIME-LAPSE was designed to monitor and analyze the landscape changes in the Philippines and track the progress of urban development in the country. It analyzes land cover shapefiles to measure and calculate the land use and land cover percentage. The tool utilizes the Global Mapping of Impervious Surfaces (GMIS) datasets from Landsat to analyze the urban sprawl in the country over time. Along with this, socioeconomic variables will be analyzed in relation to these changes. Our goal is to identify the patterns that can aid in creating sustainable land development projects in the future.

We envision this as an interactive online mapping interface by making it:

comprehensible - understood by the layman, policy makers and workers
interactive - a visual timeline with vital related data that works like a flipbook or slider
expository - reveals existing patterns in land use and development, including areas that need a change of direction

How We Developed This Project

The Philippines is a highly urbanized country, with the urban population of 51.73 million accounting for more than half of the total population as of 2019. With the rapid growth of the urban population, effective urban planning and design remains a challenge in the country. We are moving faster than we can cope. It is important to note that records over the past years show that around 40-50% of urban population reside in the slums. This is indicative of the lack of inclusive and sustainable urbanization in the country.

We used PostgreSQL and PostGIS for the extraction and QGIS for the analysis of satellite data. For our proposed web application, Leaflet will be used for the frontend and Django for the backend. Mapping interface uses ping OpenStreetMap on Mapbox API. Data analysis was performed using pandas on Jupyter Notebook for the socioeconomic data obtained from OpenStat and PSA.

How We Used Space Agency Data in This Project

We used the Global Man-made Impervious Surface (GMIS) Dataset From Landsat to map out and monitor the urban development in the country. We also used both GMIS and Human Built-up and Settlement Extent (HBASE) to analyze the movement and growth of the population.