README file 

About the data set 
Title Landscape-Led Planning for Fire-Resilient Territories: Artist Residencies and Art Campus Development
Names of the dataset creators: Birge Yildirim Okta, Gurkan Okta, Ahu Sokmenoglu Sohtorik, OKTAA STUDIO
Organisations with which the creators are affiliated : LJMU, OKTAA STUDIO
Rights holder(s) for the dataset  Birge Yildirim Okta, Gurkan Okta, Ahu Sokmenoglu Sohtorik, OKTAA STUDIO
Year of publication:  2025

Description 
Landscape-Led Planning for Fire-Resilient Territories: Artist Residencies and Art Campus Development
Citation :
Yildirim Okta B., Okta, G., Sohtorik Sokmenoglu, A. (2025). Landscape-Led Planning for Fire-Resilient Territories: Artist Residencies and Art Campus Development

Contact details 
Email for the PI :lsabyild@ljmu.ac.uk
Terms of use 
Creative commons licence
Project and funding information    
Landscape-Led Planning for Fire-Resilient Territories: Artist Residencies and Art Campus Development
The project start and end dates:  December 2024-2025 July
Funding organisation name : DAA ART RESIDENCY
Contents  
Site Photos (.jpg)
Ground-level photographs documenting vegetation density, surface conditions, informal paths, clearings, and spatial thresholds observed during on-site surveys.
Drone Photos (.jpg)
Aerial images capturing overall site morphology, vegetation continuity, open spaces, and landscape fragmentation from above. These images are used for orthographic reading and spatial verification.
CAD Drawings (.dwg)
Master plan and site plan drawings used for extracting contour data, vegetation zones, circulation patterns, and built-to-open space relationships. These files form the basis for sectional studies and layered spatial analysis.
 Master Plan Image (.jpg)
Exported visual of the final master plan layout showing program distribution, open space systems, and spatial organisation derived from the analytical dataset.

Methods  
The dataset was generated through a combination of site-based fieldwork, aerial observation, and spatial drawing analysis derived from the project’s master plan DWG files, site plan drawings, drone imagery, and on-site area survey forms. Data collection took place under typical seasonal site conditions in order to accurately register vegetation density, ground dryness, topographic variation, natural clearings, informal paths, and wind exposure across ridges and depressions. These environmental observations were recorded directly on-site using structured survey forms that documented material conditions, surface cover, vegetation types, and the spatial thresholds between dense and open landscape areas.
A UAV drone was used to capture aerial photographs of the site, producing a comprehensive visual record of vegetation continuity, surface permeability, and landscape fragmentation. Ground-level photographs were taken using a DSLR and mobile devices equipped with GPS positioning to support spatial referencing during field observations. The master plan and site plan DWG drawings were analysed in AutoCAD by separating and interpreting contour lines, vegetation zones, circulation traces, and the relationship between built and open areas. Drone images were processed through aerial stitching and perspective correction software to produce readable orthographic views, which were then overlaid with CAD-derived layers to verify spatial patterns observed on the ground.
Field notes from the survey forms were cross-referenced with both the aerial imagery and the drawing data to validate micro-topographic conditions, combustible surface continuity, and informal access routes that were not fully legible in plan drawings. This information was translated into layered analytical mappings through tracing and redrawing processes using Adobe Illustrator and Photoshop, allowing the identification of natural firebreak potentials, low-risk micro-territories, and transition zones between ecological and built systems. In addition, sectional studies derived from the DWG contour data were used to understand how slope, vegetation density, and wind exposure interact spatially. Through this multi-source integration of drawings, aerial imaging, and field observation, the dataset establishes a spatially grounded understanding of how landscape structure can inform fire-resilient planning strategies.
Data sources or individuals involved in the dataset creation or analysis: Birge Yildirim Okta, Gurkan Okta, Ahu Sokmenoglu Sohtorik, OKTAA STUDIO

2025