GIS / RS
Team
Projects
100

Requirements will help to:

Digitalise the site selection and survey process for chargepoints

Allow stakeholders to identify and assess sites completely online/remotely

Make necessary site surveys more efficient and effective through upfront data provision

Availability:

The National Workspace provides a view of the country as a whole with essential datasets and user-friendly

What is Tier 1 LOCATE

100
  • ESA project/MGISS to detect change over underground assets. User requirements from water and gas companies. Aim is to replace or improve on their current monitoring methods to catch third party infringement before it damages their assets.
  • BDR complete and basic System architecture
  • Settled on planet data after reviewing sentinel and other radar data. Good value under the hectares under management subscription – includes historical data.
  • Reviewing change detection options and algorithms now

What is IPAS

100

Automated interrogation of the LiDAR DSM data within each building footprint was undertaken to determine which roofs are potentially suitable for solar by identifying the roof pitch, aspect, solar radiation and useable area. 

  • National Rooftop Solar Calculation using Open Data by counties (cities and rural areas)

  • LIDAR data split by 1,615 tiles (Laurence) and Solar production(David).

  • Individual Building, more than 22 million: Open Data ( Block of buildings) + INSPIRE Cadastral

  • Quality Checked: around 2,000 random buildings within 130 Tiles

  • Results 20,526,025 Suitable solar buildings ; 143,591,659 MW Potential Energy generated; 27,773,764 tonnes CO2 Savings first year; £ 430,278,682,454 Total Benefit in 20 years.

What is Rooftop Solar PV Tier 2 LOCATE

200

New Zealand - Auckland Flooding (Jan 23)

Rough start to 2023

Flood extents across Auckland

New Zealand – Cyclone Gabrielle (Feb 23)

Flood extents across Napier, Hastings & regions in Hawke Bay

Sentinel2 Imagery and good social media coverage

Turkey – Earthquake

Didn’t quite happen

Lots of work identifying impacted areas and data

Italy - Flooding (May 23)

Flood extents across 14 different AOIs

Challenges:

No good imagery, only open source

Large quantity AOI

What is CAT Response

200
  • Objective: produce a driveway probability for all 22m buildings in England
  • Why: to facilitate the placement of public EVCPs
  • Inputs: cadastral, building footprints, OSM/OS roads
  • Classifications: off road, high or low
  • Outputs: building footprints, driveway probability per LSOA

What is Driveway Tier 2 LOCATE

200
  • Delivered our results on time and on schedule without fault (aside from the bad weather!)
  • Achieved the best result on record of 1319 bbl off EIA’s weekly figure
  • Theorised a new product showing the usable capacity of the terminal
  • Developed and passed the product to the sales team for use in negotiations

What is Cushing & Capacity+

300
  • Successfully completed handover from TerraMotion APSIS method to be able to complete MM assessments internally.
  • Completed assessments of Kiruna, Almaty, Two Estonian Locations, Kumtor Mine and Ukraine Dam collapse
  • Produced vegetation encroachment analysis for EVR (Estonian company)
  • And now mapping glacial speed

What is Motion Monitor

300

Taking street lighting and running modelled scenarios on these to rank the best possible locations for on street EV charging from a street

Provision of a SaaS containing various functions which is a specialized EV network planning platform. Its purpose is to integrate essential datasets and user-friendly features to streamline the strategic deployment of EV chargepoints. LOCATE Char.gy, a customized edition of the platform exclusively tailored for Char.gy, presents three workspace options with different degrees of data granularity.

  • LOCATE National
  • LOCATE Intermediate
  • LOCATE Detailed

What is Char.gy

300

Achievements

  • Created over 31,000+ annotations in 3 different states

  • Helped develop an AI via machine learning

  • Successfully identified hail Damage in Ocala, Hurricane damage in Fort Lauderdale, Hurricane Sally in Alabama. Florida – Michael, Ida, Irma

Intro

  • Created building footprints using NOAA Imagery to identify and classify hurricane damage in Florida

  • Split into 5 categories : No Damage, Affected, Minor, Major, Destroyed

Considerations

  • Variations in imagery – artefacts, previous damage, shadow and tree cover

  • Damage classification strategy – cost of damage rather than extent

Solutions

  • Pixel Annotation tool – used to snip raster data to damage extent 

  • CVAT – QA review used for machine learning dmg segmentation tool

What is Swiss Re Annotation

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