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HarryB05 / team3-solarathon

Team 3's project
MIT License
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Brainstorming #1

Open HarryB05 opened 7 months ago

HarryB05 commented 7 months ago

anuar menco - 17:34 Hola a todos, este es un mensaje automático para informarles que mi extensión Tactiq (https://tactiq.io/r/transcribing) está transcribiendo esta reunión para que pueda brindarles toda mi atención.

Koen Vossen - 17:34 Link to the open data: https://github.com/statsbomb/open-data

Siggi Sigurdsson - 17:38 https://www.iceye.com/blog/iceye-interferometric-analysis-monitoring-potential-volcanic-eruption-in-iceland

argee sn - 17:39 there is example solara app using sat images Morocco earthquake destruction seen from space with Maxar Open Data on #AWS Web app: https://huggingface.co/spaces/giswqs/solara-maxar GitHub: https://github.com/opengeos/solara-maxar Data catalog: https://github.com/opengeos/maxar-open-data

argee sn - 17:45 A long tutorial on GIS generally, https://www.qgistutorials.com/en/#

argee sn - 17:46 https://panel.holoviz.org/

argee sn- 17:48 https://solara.dev/docs/deploying/self-hosted

argee sn - 17:56 https://hydrafloods-servir.adpc.net/

Siggi Sigurdsson - 17:56 https://www.sentinel-hub.com/

argee sn - 17:56 https://github.com/Servir-Mekong/hydra-floods

argee sn - 18:00 https://github.com/google/Xee https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S1_GRD

argee sn- 18:04 https://servir-mekong.github.io/hydra-floods/getting-started/

Bruno Parente - 18:08 https://www.nature.com/articles/s41597-020-0443-5

sar flood detection

brunoparente93 commented 7 months ago

This is the library that we should use to perform our analysis with the Google Earth engine. All the functions are very well documented with Jupyter notebooks and YouTube videos:

https://geemap.org/notebooks/00_ee_auth_colab/

nishadhka commented 7 months ago

Would like to add two potential topic to consider,

  1. Solara date picker + Satellite imagery in COG provided by AWS lambda function https://developmentseed.org/titiler/. The satellite imagery can be from https://gpm.nasa.gov/data/visualization/global-viewer, with visualization inspiration. With the Solaratho+Titler setup, the long term daily visualization of rainfall data can be designed.
  2. Solara + https://github.com/developmentseed/lonboard Jupyter widget for vector visualization for global building data visualzaiton
brunoparente93 commented 7 months ago

@nishadhka very nice library! Can you participate in the meeting today via google meetings?