Scanning for Lifeforms

This challenge addresses a pressing global need to track change in biological diversity, which is threatened by human-driven environmental change. Use space agency data to develop innovative ways to detect biological diversity on Earth, track and predict changes over time, and communicate that information to scientists and society.

Changes in New Zealand’s forests

Summary

New Zealand/Aotearoa, is renowned for its dynamic landscape, unique wildlife, and ancient forests. These forests are a crucial habitat for a large number of endangered native species, that rely on these forests for nutrition and protection. Therefore, for New Zealand/Aotearoa to protect its unique and diverse wildlife, large, healthy forests must be preserved and monitored. We analyzed NASA satellite remote sensing data to investigate the forests of New Zealand and preserve its unique biodiversity.

How We Addressed This Challenge

We developed code to analyze spatial and temporal data from the the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite that we acquired from the AppEARS data portal. We focused on investigating forests because they are important for supporting New Zealand's unique biodiversity. In our code, we investigated ways to study deforestation and native forest density. With this work, we hope to find a reliable way of identifying at risk forests.

How We Developed This Project

We chose this challenge because we are originally from New Zealand and care for its native species and biodiversity. To carry out this project, we analyzed maps derived from data from the MODIS satellite that we acquired from the AppEARS data portal. This analysis was built on Python, utilizing core features such as numpy, scipy and matplotlib. With these tools we developed code to interact with the MODIS data to observe and fit trends over time. Although forests are an excellent proxy for biodiversity, the lack of direct biodiversity measures is a limitation of this approach. With more time, we would have addressed this limitation by incorporating data from the Global Biodiversity Information Facility (GBIF) .

How We Used Space Agency Data in This Project

We used NASA MODIS data in our analysis.

Project Demo

https://docs.google.com/presentation/d/1hh99-pGbsG9gT8Ea1YR6Jpedb2ZIW2bZhxjwNWdefzI/edit?usp=sharing

Data & Resources

Link to code and supporting figures: https://drive.google.com/drive/folders/1TWufSZLP87INiCUloSUa62cobaq984wh?usp=sharing


MODIS data aquired from the AppEARS data protal (https://lpdaacsvc.cr.usgs.gov/appeears/) and the World View data portal (https://worldview.earthdata.nasa.gov/)

Tags
#biodiversity #MODIS
Judging
This project was submitted for consideration during the Space Apps Judging process.