Land Use Land Cover Automation

The Florida Department of Environmental Protection (DEP) has issued a Request for Information (RFI) 2026002 for Land Use Land Cover (LULC) Automation, specifically targeting organizations with expertise in advanced data development methodologies. The procurement seeks innovative approaches to improve statewide LULC dataset development, with a focus on utilizing artificial intelligence, machine learning, and object detection technologies. Key project objectives include enhancing data consistency across the state, establishing new data quality checks, and increasing efficiency while reducing administrative burdens. Respondents are expected to provide comprehensive information about their proposed methods, including details on imagery or remote sensing data acquisition, data automation techniques, and potential implementation strategies. The RFI requires submissions by September 26, 2025, to be emailed to Chris Lowery, the Procurement Officer, with specific guidelines for response formatting. Potential respondents should demonstrate capabilities in improving imagery collection, classification accuracy, and update processes, with a preference for methods that can provide statewide coverage and support consistent, high-quality data collection.

The RFI does not explicitly outline specific set-aside designations or restrictions on responding organizations, indicating a relatively open competition. While no specific budget range is disclosed, the document suggests the current LULC update cycle is approximately three years, implying potential long-term value for the selected technologies or methodologies. The DEP emphasizes that this is not a competitive bid process and no contract will be immediately awarded based on the submissions. The RFI covers Leon County and potentially extends to statewide implementation, with the primary goal of improving land use and land cover data collection and analysis capabilities. Respondents are encouraged to provide detailed information about their experience, proposed methods, data sources, cost estimates, and implementation timelines. The attached Excel survey document (Attachment 2 - LULC Survey Responses.xlsx) indicates that the DEP is seeking comprehensive and nuanced feedback on existing land use classification systems, suggesting a thorough and methodical approach to potential technological improvements.