Award

CEFAS24-146 Contract for Light Detection & Ranging (LiDAR) surveys at Sizewell.

CEFAS

This public procurement record has 1 release in its history.

Award

29 Jan 2025 at 11:27

Award Notice
Summary of the contracting process

Cefas has awarded the contract titled "CEFAS24-146 Contract for Light Detection & Ranging (LiDAR) surveys at Sizewell" to HexCam Ltd. This contract falls under the industry category of survey services (CPV 79311000) and involves conducting LiDAR surveys at the Sizewell-Minsmere location to support the BEEMS Programme. The procurement method utilised was an open procedure (below threshold). The award was announced on 24th January 2025, with the contract period beginning on 29th January 2025 and concluding on 31st August 2025. The project's necessary surveys will occur in January, March/April, and June, focusing on various coastal vegetation states. The total contract value is £30,102 GBP, and the project will encompass a range of locations, including the British Oversea Territories, Channel Islands, Europe, Isle of Man, and the United Kingdom.

This tender offers substantial opportunities for businesses specialising in advanced survey technologies, particularly those with experience in LiDAR and GNSS technologies. SMEs (small and medium enterprises) are especially well-suited to compete, given Cefas's suitability criteria. Successful participation in this contract can provide these businesses with the chance to showcase and refine their cutting-edge surveying capabilities, promote innovation, and strengthen their reputation within the industry. The comprehensive nature of the work – involving the latest generation of LiDAR sensors and stringent accuracy requirements – means that companies can leverage this project as a significant portfolio highlight and a stepping stone to secure future, high-value contracts within the environmental and geospatial surveying sectors.

Find more tenders on our Open Data Platform.
How relevant is this notice?

D3 Tenders Premium

Win More Public Sector Contracts

AI-powered tender discovery, pipeline management, and market intelligence — everything you need to grow your public sector business.

Start Free Trial Book a Demo
All Features Pricing

Notice Information

Notice Title

CEFAS24-146 Contract for Light Detection & Ranging (LiDAR) surveys at Sizewell.

Notice Description

To support the delivery of the BEEMS Programme, Cefas have the requirement to work with a supplier to assess error margins around estimates of the ground elevation under dune and coastal vegetation at Sizewell-Minsmere. Accurate, or slightly conservative, estimates of the beach and dune surface under vegetation are required to ensure that beach volumes (specifically Soft Coastal Defence Feature (SCDF) volumes) are not over-estimated which could otherwise result in delayed SCDF maintenance triggers and maintenance, and increased risks of SCDF buffer & Hard Coastal Defence Feature (HCDF) exposure. The supplier is required to test the next generation of Light Detection and Ranging (LiDAR) sensors, which have more power and improved laser to penetrate further into the vegetation, against elevations from detailed ground truthing Global Navigation Satellite System (GNSS) and Red Green Blue (RGB) optical imagery. Surveys are required to be undertaken when coastal vegetation is at its minima, average and maxima (c. January, March/April and June). The proposed work will include three LiDAR surveys, each with accompanying ground truth surveys, collected with a GNSS receiver rover (short occupation only, no tripod required). Accuracy requirements for ground truthing measurements are to be within Root Mean Square Error (RMSE) +-3cm horizontal and +-4cm vertical, equivalent to a detailed survey performed under relative kinematic methodology as per RICS 'Use of GNSS in land surveying and mapping 3rd edition' standards. Please see supporting documents contained within the bidder pack for details of the survey area, and minimum expected ground truthing points. Each summary report will require the supplier to: * Extract the LiDAR Digital Terrain Model (DTM) elevation (if more than one model has been used then extract for each model), the LiDAR Digital Surface Model (DSM) point cloud mean and minimum elevations, and the RGB optical DSM elevation, at each ground truth location. o To be performed separately for calibration and validation data, and then performed all together. * Generate difference statistics for the ground truth validation points in the LiDAR DTM and compare with the LiDAR calibration points * Generate difference statistics and graphics for all methods against the ground truth values. * Draw conclusions about different methods and how well they estimate the true ground surface both in general and specifically for each broad vegetation type (low grass, dune vegetation, reeds, gorse, shrubs/trees). Express this in elevation and beach volume terms (Cefas will provide the method for the latter) * Present the results for Cefas in advance of a short report on all of the above.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-dbb4302e-46e5-4a2d-8d37-39a165593798
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/abf90be8-beb8-4f24-8c24-fba32dfbe34c
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Open
Procurement Method Details
Open procedure (below threshold)
Tender Suitability
SME
Awardee Scale
Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions

79 - Business services: law, marketing, consulting, recruitment, printing and security

CPV Codes

79311000 - Survey services

Notice Value(s)

Tender Value
£30,102 Under £100K
Lots Value
Not specified
Awards Value
£30,102 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
29 Jan 20251 years ago
Submission Deadline
10 Jan 2025Expired
Future Notice Date
Not specified
Award Date
24 Jan 20251 years ago
Contract Period
29 Jan 2025 - 31 Aug 2025 6-12 months
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Not Specified
Awards Status
Active
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
CEFAS
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
LOWESTOFT
Postcode
NR33 0HT
Post Town
Norwich
Country
England
Major Region (ITL 1)
TLH East (England)
Basic Region (ITL 2)
TLH6 Suffolk
Small Region (ITL 3)
TLH63 East Suffolk
Delivery Location
Not specified
Local Authority
East Suffolk
Electoral Ward
Kirkley & Pakefield
Westminster Constituency
Lowestoft

Supplier Information

Number of Suppliers
1
Supplier Name

HEXCAM

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

Download

The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts. 

{
    "tag": [
        "compiled"
    ],
    "id": "ocds-b5fd17-dbb4302e-46e5-4a2d-8d37-39a165593798-2025-01-29T11:27:22Z",
    "date": "2025-01-29T11:27:22Z",
    "ocid": "ocds-b5fd17-dbb4302e-46e5-4a2d-8d37-39a165593798",
    "language": "en",
    "initiationType": "tender",
    "tender": {
        "id": "CF-0446100D8d000003VQwdEAG",
        "title": "CEFAS24-146 Contract for Light Detection & Ranging (LiDAR) surveys at Sizewell.",
        "description": "To support the delivery of the BEEMS Programme, Cefas have the requirement to work with a supplier to assess error margins around estimates of the ground elevation under dune and coastal vegetation at Sizewell-Minsmere. Accurate, or slightly conservative, estimates of the beach and dune surface under vegetation are required to ensure that beach volumes (specifically Soft Coastal Defence Feature (SCDF) volumes) are not over-estimated which could otherwise result in delayed SCDF maintenance triggers and maintenance, and increased risks of SCDF buffer & Hard Coastal Defence Feature (HCDF) exposure. The supplier is required to test the next generation of Light Detection and Ranging (LiDAR) sensors, which have more power and improved laser to penetrate further into the vegetation, against elevations from detailed ground truthing Global Navigation Satellite System (GNSS) and Red Green Blue (RGB) optical imagery. Surveys are required to be undertaken when coastal vegetation is at its minima, average and maxima (c. January, March/April and June). The proposed work will include three LiDAR surveys, each with accompanying ground truth surveys, collected with a GNSS receiver rover (short occupation only, no tripod required). Accuracy requirements for ground truthing measurements are to be within Root Mean Square Error (RMSE) +-3cm horizontal and +-4cm vertical, equivalent to a detailed survey performed under relative kinematic methodology as per RICS 'Use of GNSS in land surveying and mapping 3rd edition' standards. Please see supporting documents contained within the bidder pack for details of the survey area, and minimum expected ground truthing points. Each summary report will require the supplier to: * Extract the LiDAR Digital Terrain Model (DTM) elevation (if more than one model has been used then extract for each model), the LiDAR Digital Surface Model (DSM) point cloud mean and minimum elevations, and the RGB optical DSM elevation, at each ground truth location. o To be performed separately for calibration and validation data, and then performed all together. * Generate difference statistics for the ground truth validation points in the LiDAR DTM and compare with the LiDAR calibration points * Generate difference statistics and graphics for all methods against the ground truth values. * Draw conclusions about different methods and how well they estimate the true ground surface both in general and specifically for each broad vegetation type (low grass, dune vegetation, reeds, gorse, shrubs/trees). Express this in elevation and beach volume terms (Cefas will provide the method for the latter) * Present the results for Cefas in advance of a short report on all of the above.",
        "status": "complete",
        "classification": {
            "scheme": "CPV",
            "id": "79311000",
            "description": "Survey services"
        },
        "items": [
            {
                "id": "1",
                "deliveryAddresses": [
                    {
                        "postalCode": "NR33 0HT"
                    },
                    {
                        "countryName": "British Oversea Territories"
                    },
                    {
                        "countryName": "Channel Islands"
                    },
                    {
                        "countryName": "Europe"
                    },
                    {
                        "countryName": "Isle of Man"
                    },
                    {
                        "countryName": "Rest of the World"
                    },
                    {
                        "countryName": "United Kingdom"
                    }
                ]
            }
        ],
        "value": {
            "amount": 30102,
            "currency": "GBP"
        },
        "procurementMethod": "open",
        "procurementMethodDetails": "Open procedure (below threshold)",
        "tenderPeriod": {
            "endDate": "2025-01-10T12:00:00Z"
        },
        "contractPeriod": {
            "startDate": "2025-01-29T00:00:00Z",
            "endDate": "2025-08-31T23:59:59+01:00"
        },
        "suitability": {
            "sme": true,
            "vcse": false
        },
        "mainProcurementCategory": "services"
    },
    "parties": [
        {
            "id": "GB-CFS-229303",
            "name": "Cefas",
            "identifier": {
                "legalName": "Cefas"
            },
            "address": {
                "streetAddress": "Pakefield Road",
                "locality": "Lowestoft",
                "postalCode": "NR33 0HT",
                "countryName": "United Kingdom"
            },
            "contactPoint": {
                "name": "Laura Anderson",
                "email": "procure@cefas.gov.uk"
            },
            "roles": [
                "buyer"
            ]
        },
        {
            "id": "GB-CFS-242866",
            "name": "HexCam Ltd",
            "identifier": {
                "legalName": "HexCam Ltd"
            },
            "address": {
                "streetAddress": "Felthorpe Airfield Taverham Road NR10 4DR"
            },
            "roles": [
                "supplier"
            ]
        }
    ],
    "buyer": {
        "id": "GB-CFS-229303",
        "name": "Cefas"
    },
    "awards": [
        {
            "id": "ocds-b5fd17-dbb4302e-46e5-4a2d-8d37-39a165593798-1",
            "status": "active",
            "date": "2025-01-24T00:00:00Z",
            "datePublished": "2025-01-29T11:27:22Z",
            "value": {
                "amount": 30102,
                "currency": "GBP"
            },
            "suppliers": [
                {
                    "id": "GB-CFS-242866",
                    "name": "HexCam Ltd"
                }
            ],
            "contractPeriod": {
                "startDate": "2025-01-29T00:00:00Z",
                "endDate": "2025-08-31T23:59:59+01:00"
            },
            "documents": [
                {
                    "id": "1",
                    "documentType": "awardNotice",
                    "description": "Awarded contract notice on Contracts Finder",
                    "url": "https://www.contractsfinder.service.gov.uk/Notice/abf90be8-beb8-4f24-8c24-fba32dfbe34c",
                    "datePublished": "2025-01-29T11:27:22Z",
                    "format": "text/html",
                    "language": "en"
                },
                {
                    "id": "2",
                    "description": "CEFAS24-146 NNB Short Form Contract Countersigned_Redacted",
                    "url": "https://www.contractsfinder.service.gov.uk/Notice/Attachment/7cf48c9e-ef2c-4d24-bb3b-9f3743663c83",
                    "format": "application/pdf"
                }
            ]
        }
    ]
}