12-17, 10:00–10:15 (Asia/Bangkok), Auditorium Hall 2
Since the European Space Agency Copernicus’s launch of the Sentinel satellites in 2015, there has been a rising interest in adapting free and high-quality geospatial data to inform scientific research. Of particular interest are environmental indices from Sentinel 2 (e.g. NDVI, MNDWI) which can be utilized for analysis and modelling in various topics in health, agriculture, and biodiversity.
However, while the Sentinel 2 imagery are freely available, the process of acquiring, deriving, and extracting meaningful data is not very straightforward. Sen2Chain, a tool developed in Python to automate the acquisition of Sentinel 2 images and to calculate these indices, and Sen2Extract, a tool developed in R to interact with Sen2Chain from the web, were created to address this problem.
This talk explores how we built these tools and applied them to various projects around the world, and how you can potentially adapt them for your own projects.
