This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission.
Apache License 2.0
138
stars
81
forks
source link
Emit for the Future - Nasa Space Apps Challenge project #41
HI! My name is Maurizio Naletto, during the Nasa Space Apps Challenge in Cagliari we developed a small project to raise people's awareness of the dynamics that contribute to global warming with EMIT. We think that the EMIT system, the ISS and the use of open source web platforms are very important to help people be more aware of climate change. Our idea was to create a website associated with a repository that serves as a guide for young students, professors and researchers. We created a working outline for younger students and professors' teaching labs to turn students into investigators researching greenhouse gas emissions using VISIONS: The EMIT Open Data Portal. For researchers we created a small notebook using the official jupiter-based repo as a basis, porting it to google colab, adding a small OpenCV-based machine vision algorithm to extract data directly from the rasterized image. We would like to share our work with you if it might be useful to you because we studied your work on github before participating. You can find the EMIT "copilot" support website here https://www.emit-vision-iss-copilot.com/ while the github repository is at this link: https://github.com/MaurizioNaletto-code/EMIT-VISIONS -ISS-COPILOT. If you have the pleasure of contacting us you can do so by email isscopilot@gmail.com. Thank you!
HI! My name is Maurizio Naletto, during the Nasa Space Apps Challenge in Cagliari we developed a small project to raise people's awareness of the dynamics that contribute to global warming with EMIT. We think that the EMIT system, the ISS and the use of open source web platforms are very important to help people be more aware of climate change. Our idea was to create a website associated with a repository that serves as a guide for young students, professors and researchers. We created a working outline for younger students and professors' teaching labs to turn students into investigators researching greenhouse gas emissions using VISIONS: The EMIT Open Data Portal. For researchers we created a small notebook using the official jupiter-based repo as a basis, porting it to google colab, adding a small OpenCV-based machine vision algorithm to extract data directly from the rasterized image. We would like to share our work with you if it might be useful to you because we studied your work on github before participating. You can find the EMIT "copilot" support website here https://www.emit-vision-iss-copilot.com/ while the github repository is at this link: https://github.com/MaurizioNaletto-code/EMIT-VISIONS -ISS-COPILOT. If you have the pleasure of contacting us you can do so by email isscopilot@gmail.com. Thank you!