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This Government Contract opportunity from Texas was posted on June 15, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

GIS and Digital Mapping Services

Closed
State & Local

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541370
New
International
Develop an Inland Rock and Scree GIS layer
Solicitation # 2026/S 000-086585
Natural England is seeking a UK-based contractor, with a particular suitability for small and medium-sized enterprises, to develop England-wide inland rock and scree habitat maps. This entirely desk-based project requires extensive expertise in GIS, Earth Observation, habitat mapping, and biodiversity analysis to process aerial imagery and geological, topographical, and botanical datasets. The contract is a fixed-price engagement starting October 2, 2026, and ending no later than February 27, 2027. Key deliverables include GIS datasets in ESRI Shapefile or geodatabase format, completed metadata templates, a rolling data tracker, and any supporting code used for analysis. All outputs must be compatible with the Open Government Licence for public release. The contract will be awarded based on the most advantageous tender, weighted 60 percent on technical score and 40 percent on commercial score. Payment is structured via BACS transfer, with invoices due in December 2026 and February 2027, and 50 percent of the total contract value payable upon the final wash-up meeting. Under the selected intellectual property terms, the customer retains ownership of all new intellectual property. The contractor is responsible for proposing an accuracy-assessment method and ensuring data quality through specific attribute standards, including the use of FeatCode for calcareous and siliceous differentiation and the INRSC HabCode.
Natural England

POSTED

about 19 hours ago

DEADLINE

in 3 days

AI Contract Overview

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The contract involves converting field survey data into GIS-compatible formats and updating campus geospatial databases to support facility management and planning efforts. This includes producing digital maps, potentially utilizing advanced data collection methods such as LiDAR or drone technology to enhance accuracy and detail. The services are designated as a subcontract under the NAICS code 541370, indicating professional surveying and mapping services. Issued by the Texas State University System, the solicitation was posted on June 15, 2026, with a response deadline set for July 14, 2026. While specific geographic details and points of contact are not provided, the work primarily supports university campus operations. The contract focuses on leveraging technical expertise in geospatial data management to facilitate improved decision-making and planning for campus facilities.

General Info

Convert survey data to GIS formats and update campus geospatial databases for facility planning.

Agency

Texas State University System

NAICS

541370 - Surveying and Mapping (except Geophysical) ServicesView NAICS

Place of Performance

TX, USA

Set-Aside

NONE

Documents

This scope was carved out of 758-26-00095.

The full solicitation package (3 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

RFQ for IDIQ Professional Land Surveying Services for The Texas State University System

AI Contract Breakdown

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No contract breakdown available.

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyTexas State University System
ContactsNo contacts available
OfficeN/A
Organization / Agency
Texas State University System
Office AddressN/A
ContactsNo contact information available

Full Description

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Convert field survey data into GIS-compatible formats, update campus geospatial databases, and produce digital maps for facility management and planning, potentially using LiDAR or drone-based data collection.

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