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EY Space for Earth
EY Global
EY Space for Earth
EY Global
EY Space for Earth
EY Global
Earth observation made easy
Solution overview:
EY Space for Earth is a first of its kind, easy-to-use tool that doesn’t require a PhD in geospatial data science. The tailored insights produced by EY Space for Earth help users to make better decisions ahead of time and drive better outcomes for businesses.
Current and upcoming features of EY Space for Earth include:
•Landcover
mapping: helps companies improve their asset
management approaches and decisions and is critical for the successful
operations of many businesses.
•Object
detection: automatically identifies and
classifies assets or items of interest shown via satellite imagery.
•Proximity
detection: creates deeper and actionable
insights such as tracking encroachment of vegetation across vast rail networks.
•Water
anomalies: identifies water anomalies,
indicates leaks from burst pipes or tracks water pooling on roads and critical
infrastructure.
•Fire
management: classifies vegetation health,
tracks burn scars and identifies active fires to assist authorities in planning
and helping in managing emergent situations.
•Satellite
tasking: allows users to place orders on
demand, to obtain satellite imagery of their chosen area of interest and
preferred date.
Solution benefits:
•Working collaboratively, the water
authority, Swinburne University and EY teams developed a proof of concept (PoC)
using historical data, satellite images and computer vision approaches.
•EY teams explored an archive of 10m
spatial resolution images captured by the Sentinel-2 satellite over a 12-month
period looking for evidence of leaking pipes (or ‘water anomalies’).
•Several hundred water anomalies
were detected in the images and further investigations were conducted by the
water authority to validate if they were indeed related to known leaks.
Learn more
EY Space for Earth one pagerhttps://store-images.s-microsoft.com/image/apps.48499.58cf8279-44c7-40b9-8040-0360de5b1c69.002fa6b2-1568-4553-889d-e16cb1d4851d.f023e6f8-045a-4551-9249-768390963c4d
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