{"id":16640,"date":"2026-10-14T12:41:55","date_gmt":"2026-10-14T12:41:55","guid":{"rendered":"https:\/\/isites-dev.co.uk\/iprosurv-refresh\/?post_type=ips_case_studies&p=16640"},"modified":"2026-10-20T19:55:37","modified_gmt":"2026-10-20T19:55:37","slug":"after-the-flames-drones-map-devastating-village-fire-damage","status":"publish","type":"ips_case_studies","link":"https:\/\/isites-dev.co.uk\/iprosurv-refresh\/ips_case_studies\/after-the-flames-drones-map-devastating-village-fire-damage\/","title":{"rendered":"After the Flames: Drones Map Devastating Village Fire Damage"},"content":{"rendered":"
\n

<\/p>\n

\n
\n 19 homes<\/strong>
\n Destroyed in the Wennington fire<\/span>\n <\/div>\n
\n 20+ organisations<\/strong>
\n Insurance companies and loss adjusters supported<\/span>\n <\/div>\n
\n One dataset<\/strong>
\n Shared for assessment, planning and recovery<\/span>\n <\/div><\/div>\n

<\/p>\n

\n
\n

The challenge<\/p>\n

Give recovery teams a clear view of a village after a major fire<\/h2>\n

After a devastating fire in Wennington, multiple properties had been destroyed and others badly damaged. Unstable structures and restricted access made traditional on-site surveys difficult, while insurers, loss adjusters and recovery teams needed information to begin assessing the damage.<\/p>\n

The response involved many organisations, each with different questions to resolve. Insurers and loss adjusters needed to review damage, while demolition companies and engineers needed information to plan their work. The challenge was to deploy quickly, survey a large affected area and provide a shared visual record that could serve multiple purposes.<\/p>\n

\n One coordinated drone survey created a dataset that could be shared with more than 20 insurance companies and loss adjusters, as well as demolition companies and engineers.
\n The survey and 3D model helped stakeholders review the affected area without relying solely on physical access to damaged properties.<\/small>\n <\/div><\/div>\n
\n

Case at a glance<\/p>\n

Shared mapping for post-fire recovery<\/h3>\n

Location:<\/strong> Wennington, East London<\/p>\n

Event:<\/strong> Major village fire<\/p>\n

Platform:<\/strong> DJI Mavic 3E<\/p>\n

Flight planning:<\/strong> DJI Pilot 2<\/p>\n

Processing:<\/strong> gNext Labs<\/p>\n

Output:<\/strong> 3D mesh model and mapped data<\/p>\n<\/p><\/div><\/div>\n

<\/p>\n

\n

The approach<\/p>\n

Deploy quickly. Map the wider scene. Share one useful dataset.<\/h2>\n

Iprosurv used a DJI Mavic 3E to capture imagery across the fire-affected area. DJI Pilot 2 was used to plan the flights, and the collected data was processed in gNext Labs to create a 3D mesh model for remote review.<\/p>\n

\n
\n
01<\/div>\n

Plan and deploy rapidly<\/h3>\n

Use DJI Pilot 2 to plan data capture across the affected area and respond to the need for information after the fire.<\/p>\n<\/p><\/div>\n

\n
02<\/div>\n

Capture the wider scene<\/h3>\n

Fly the DJI Mavic 3E to gather detailed imagery across the affected properties and surrounding area, reducing the need for teams to access hazardous locations just to gain an overview.<\/p>\n<\/p><\/div>\n

\n
03<\/div>\n

Process and share the model<\/h3>\n

Use gNext Labs to process the imagery into a 3D mesh model that multiple stakeholders can review for their own assessment and planning needs.<\/p>\n<\/p><\/div><\/div><\/div>\n

<\/p>\n

\n
\n

The result<\/p>\n

One dataset with multiple uses across the recovery effort<\/h2>\n

The drone survey provided a mapped view of the fire-affected area and a 3D mesh model for remote review. The data was shared with more than 20 insurance companies and loss adjusters, alongside demolition companies and engineers involved in the recovery.<\/p>\n

A shared dataset gave different teams a common visual reference. It could support damage assessment, help inform planning and allow stakeholders to revisit the scene without each needing to arrange separate access to the affected properties.<\/p>\n<\/p><\/div>\n

\n

Who used the data<\/p>\n

A shared view for the teams involved in recovery<\/h3>\n
\n \u2713<\/span>
\n More than 20 insurance companies and loss adjusters<\/span>\n <\/div>\n
\n \u2713<\/span>
\n Demolition companies planning their work<\/span>\n <\/div>\n
\n \u2713<\/span>
\n Engineers reviewing damaged properties<\/span>\n <\/div>\n
\n \u2713<\/span>
\n Teams coordinating assessment and recovery decisions<\/span>\n <\/div><\/div><\/div>\n

<\/p>\n

\n

Why it matters<\/p>\n

A shared model can help many teams work from the same picture<\/h2>\n

After a major incident, multiple organisations may need to assess the same location for different reasons. A drone survey can capture a broad visual record quickly, while a 3D mesh model gives stakeholders a way to review the scene remotely and identify areas that need further attention.<\/p>\n

When the same dataset can support insurance assessment, engineering review and demolition planning, teams have a common reference point for discussions and next steps.<\/p>\n<\/p><\/div>\n

<\/p>\n

\n

Start with the event<\/p>\n

Need rapid, shareable data after a major incident?<\/h2>\n

Tell us about the site, access conditions and the teams that need to review the data. We\u2019ll help you assess how drone mapping and 3D modelling could support the response.<\/p>\n

Talk to Iprosurv<\/a>\n <\/div>\n<\/div>\n","protected":false},"featured_media":16641,"parent":0,"menu_order":0,"template":"","industries":[402],"case_study_categories":[],"class_list":["post-16640","ips_case_studies","type-ips_case_studies","status-publish","has-post-thumbnail","hentry","industries-insurance"],"acf":[],"_links":{"self":[{"href":"https:\/\/isites-dev.co.uk\/iprosurv-refresh\/wp-json\/wp\/v2\/ips_case_studies\/16640","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/isites-dev.co.uk\/iprosurv-refresh\/wp-json\/wp\/v2\/ips_case_studies"}],"about":[{"href":"https:\/\/isites-dev.co.uk\/iprosurv-refresh\/wp-json\/wp\/v2\/types\/ips_case_studies"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/isites-dev.co.uk\/iprosurv-refresh\/wp-json\/wp\/v2\/media\/16641"}],"wp:attachment":[{"href":"https:\/\/isites-dev.co.uk\/iprosurv-refresh\/wp-json\/wp\/v2\/media?parent=16640"}],"wp:term":[{"taxonomy":"industries","embeddable":true,"href":"https:\/\/isites-dev.co.uk\/iprosurv-refresh\/wp-json\/wp\/v2\/industries?post=16640"},{"taxonomy":"case_study_categories","embeddable":true,"href":"https:\/\/isites-dev.co.uk\/iprosurv-refresh\/wp-json\/wp\/v2\/case_study_categories?post=16640"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}