Nothing Special   »   [go: up one dir, main page]

Skip to content

This repository consolidate various analysis on EarthDaily Agro services and conference contributions.

License

Notifications You must be signed in to change notification settings

earthdaily/Studies-and-Analysis

Repository files navigation


Logo

Studies and analysis

This repository consolidates various studies and analysis related with EarthDaily Agro services and capabilities.
Who we are

· Report Bug · Request Feature

LinkedIn Twitter Youtube Issues MIT License

Table of Contents
  1. About The Project
  2. Getting Started
  3. Content
  4. Support development
  5. License
  6. Contact
  7. Copyrights

About The Repository

EarthDaily Agro is the agricultural analysis division of EartDaily Analytics. Learn more about Earth Daily at EarthDaily Analytics | Satellite imagery & data for agriculture, insurance, surveillance. EarthDaily Agro uses satellite imaging to provide advanced analytics to mitigate risk and increase efficiencies – leading to more sustainable outcomes for the organizations and people who feed the planet.

Logo

Throught our <geosys/> platform, we make geospatial analytics easily accessible for you to be browsed or analyzed, within our cloud or within your own environment. We provide developers and data scientists both flexibility and extensibility with analytic ready data and digital agriculture ready development blocks. We empower your team to enrich your systems with information at the field, regional or continent level via our API or Apps.

We have a team of experts around the world that understand local crops and ag industry, as well as advanced analytics to support your business.

The current project aims to provide samples, snippets and examples on how to integrate data and analytics but expand and enrich capabilites by creating your own analytic based satellite imagery, weather and many others available inputs.

(back to top)

Content

Cloud Mask Performance

This analysis will compare public and EarthDaily Agro Cloud masks to a reference dataset manually digitized to highlight over and under detection performance of each model. [More details here](https://github.com/GEOSYS/Studies-and-Analysis/tree/main/Cloud-Mask-Performance)

Auto Cloud Mask Accuracy

This analysis will compare EarthDaily Agro Cloud masks to a reference dataset manually digitized to highlight Earthdaily Agro ACM accuracy (more than 90% per month on Sentinel-2 images). [More details here](https://github.com/GEOSYS/Studies-and-Analysis/tree/main/Auto-Cloud-Mask-Accuracy)

Publication and conference contribution

Here is various content shared during conferences and tradeshows

Content available:

(back to top)

License

Distributed under the MIT License.

(back to top)

Contact

For any additonal information, please email us

(back to top)

Copyrights

© 2024 Geosys Holdings ULC, an Antarctica Capital portfolio company | All Rights Reserved.

(back to top)