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About

A citizen science tool for mapping urban green infrastructure. Photograph what's growing, track its condition over time, and flag issues that need attention.

How It Works

  1. Sign in to create an account
  2. Photograph green infrastructure you find — planters, street trees, green walls, rain gardens, and more
  3. AI identifies the type automatically from your photo
  4. Set the condition (Poor, OK, or Good) and add observations
  5. Location is auto-detected from photo GPS, your device, or placed manually on the map
  6. Submit and it appears as a marker on the map

Features

  • AI classification: Photos are automatically analysed to identify the green infrastructure type
  • Multiple observations: Add follow-up observations to existing sightings to track changes over time
  • Issue tracking: Flag problems (damage, overgrown, etc.) — issues persist across observations until marked as resolved
  • Shape outlines: Draw rectangles or circles to show the extent of larger features
  • Observation timeline: View the full history of observations for each sighting
  • Edit and update: Modify your sightings — change condition, location, images, and issues

Map

The basemap switches automatically between OpenStreetMap (default) and OS MasterMap (signed-in users) for higher detail.

Privacy

Your submissions appear with a randomly generated username. Your real name and email are never shown publicly. Privacy Policy · Terms

Data Sources

  • Contains OS data © Crown copyright and database right 2026
  • Map tiles © OpenStreetMap contributors, styled by CARTO
  • Land ownership information produced by HM Land Registry. © Crown copyright 2026

Part of Urban Biome

© 2026 UrbanBiome Ltd

Basemap design, visualisation method, and application design.

More

A citizen science tool for mapping urban green infrastructure. Photograph what's growing, track its condition over time, and flag issues that need attention.

How It Works

  1. Sign in to create an account
  2. Photograph green infrastructure you find — planters, street trees, green walls, rain gardens, and more
  3. AI identifies the type automatically from your photo
  4. Set the condition (Poor, OK, or Good) and add observations
  5. Location is auto-detected from photo GPS, your device, or placed manually on the map
  6. Submit and it appears as a marker on the map

Features

  • AI classification: Photos are automatically analysed to identify the green infrastructure type
  • Multiple observations: Add follow-up observations to existing sightings to track changes over time
  • Issue tracking: Flag problems (damage, overgrown, etc.) — issues persist across observations until marked as resolved
  • Shape outlines: Draw rectangles or circles to show the extent of larger features
  • Observation timeline: View the full history of observations for each sighting
  • Edit and update: Modify your sightings — change condition, location, images, and issues

Map

The basemap switches automatically between OpenStreetMap (default) and OS MasterMap (signed-in users) for higher detail.

Privacy

Your submissions appear with a randomly generated username. Your real name and email are never shown publicly. Privacy Policy · Terms

Data Sources

  • Contains OS data © Crown copyright and database right 2026
  • Map tiles © OpenStreetMap contributors, styled by CARTO
  • Land ownership information produced by HM Land Registry. © Crown copyright 2026

Part of Urban Biome

© 2026 UrbanBiome Ltd

Basemap design, visualisation method, and application design.

Search Location

Add Sighting

About Sightings

A citizen science tool for mapping urban green infrastructure. Photograph what's growing, track its condition over time, and flag issues that need attention.

How It Works

  1. Sign in to create an account
  2. Photograph green infrastructure you find — planters, street trees, green walls, rain gardens, and more
  3. AI identifies the type automatically from your photo
  4. Set the condition (Poor, OK, or Good) and add observations
  5. Location is auto-detected from photo GPS, your device, or placed manually on the map
  6. Submit and it appears as a marker on the map

Features

  • AI classification: Photos are automatically analysed to identify the green infrastructure type
  • Multiple observations: Add follow-up observations to existing sightings to track changes over time
  • Issue tracking: Flag problems (damage, overgrown, etc.) — issues persist across observations until marked as resolved
  • Shape outlines: Draw rectangles or circles to show the extent of larger features
  • Observation timeline: View the full history of observations for each sighting
  • Edit and update: Modify your sightings — change condition, location, images, and issues

Map

The basemap switches automatically between OpenStreetMap (default) and OS MasterMap (signed-in users) for higher detail.

Privacy

Your submissions appear with a randomly generated username. Your real name and email are never shown publicly. Privacy Policy · Terms

Data Sources

  • Contains OS data © Crown copyright and database right 2026
  • Map tiles © OpenStreetMap contributors, styled by CARTO
  • Land ownership information produced by HM Land Registry. © Crown copyright 2026

Part of Urban Biome

© 2026 UrbanBiome Ltd

Basemap design, visualisation method, and application design.

More

A citizen science tool for mapping urban green infrastructure. Photograph what's growing, track its condition over time, and flag issues that need attention.

How It Works

  1. Sign in to create an account
  2. Photograph green infrastructure you find — planters, street trees, green walls, rain gardens, and more
  3. AI identifies the type automatically from your photo
  4. Set the condition (Poor, OK, or Good) and add observations
  5. Location is auto-detected from photo GPS, your device, or placed manually on the map
  6. Submit and it appears as a marker on the map

Features

  • AI classification: Photos are automatically analysed to identify the green infrastructure type
  • Multiple observations: Add follow-up observations to existing sightings to track changes over time
  • Issue tracking: Flag problems (damage, overgrown, etc.) — issues persist across observations until marked as resolved
  • Shape outlines: Draw rectangles or circles to show the extent of larger features
  • Observation timeline: View the full history of observations for each sighting
  • Edit and update: Modify your sightings — change condition, location, images, and issues

Map

The basemap switches automatically between OpenStreetMap (default) and OS MasterMap (signed-in users) for higher detail.

Privacy

Your submissions appear with a randomly generated username. Your real name and email are never shown publicly. Privacy Policy · Terms

Data Sources

  • Contains OS data © Crown copyright and database right 2026
  • Map tiles © OpenStreetMap contributors, styled by CARTO
  • Land ownership information produced by HM Land Registry. © Crown copyright 2026

Part of Urban Biome

© 2026 UrbanBiome Ltd

Basemap design, visualisation method, and application design.

Edit Sighting

© 2026 UrbanBiome
Privacy · Terms