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Oblique aerial view of the historic park core, designed landscape and surrounding tree cover in Bukovička Banja.
FORESTRY & ENVIRONMENT · SERBIA

Bukovička Banja Park

GIS & Digital Twin Foundation

Bukovička Banja Park GIS combines a 2 cm orthophoto, migrated historical vegetation/infrastructure records, a structured SQLite database and an installed QGIS environment for protected-park management.

LocationPark Bukovička Banja, Aranđelovac
ClientJKP Zelenilo Aranđelovac
MapSoft roleGeospatial/GIS contractor — UAV capture, data migration, spatial database and QGIS implementation
Project context

A protected park with decades of spatial records — but no single reliable data environment

Bukovička Banja Park combined historic vegetation inventories, CAD drawings, infrastructure records, Excel tables and newer management information from different periods. The 2024 project created a current spatial base and reorganized those fragmented sources into one maintainable GIS environment.

Aerial map showing the boundary of the 17.9 ha Bukovička Banja Park project area.
Confirmed project area
17.9 haprotected park
2 cm/pixelorthophoto GSD
5 cmreported RMSE
7 + 16vegetation datasets + other GIS layers
Reality capture

A new 2 cm spatial base for a 17.9 ha protected landscape

MapSoft carried out UAV RGB imaging and LiDAR acquisition across the park. The imagery was aerotriangulated and orthorectified to produce the current high-resolution orthophoto used for review, migration control and GIS visualization.

DJI Matrice 350 prepared for UAV imaging and LiDAR acquisition in Bukovička Banja Park.
UAV survey of Bukovička Banja Park
High-resolution orthophoto detail showing the formal entrance landscape and surrounding park features.
2 cm orthophoto detail at the park entrance
Complete high-resolution orthophoto of the 17.9 ha project area.
Complete park orthophoto
  1. 01Inventory and analyse legacy source data
  2. 02Acquire current UAV imagery and LiDAR
  3. 03Produce high-resolution orthophoto
  4. 04Clean, transform and validate source records
  5. 05Load structured data into SQLite spatial database
  6. 06Link tree geometry with thematic/arboricultural attributes
  7. 07Visualize in QGIS, install and train client staff
3D data

The park captured as measurable three-dimensional reality

The acquisition campaign also captured the canopy, terrain, buildings, monuments and internal park structure with LiDAR. These data provide a detailed spatial foundation for object-level analysis and future digital-twin workflows.

Perspective point-cloud view of park canopy, terrain, buildings and internal paths.
Bukovička Banja Park LiDAR point cloud
Point-cloud representation of a park statue and surrounding vegetation and paths.
Point-cloud detail of a park monument
Legacy-data migration

The difficult part was not drawing a new map. It was making old information consistent.

Legacy CAD geometry and vegetation tables contained duplicated or missing identifiers, inconsistent layers, mixed geometry types and misplaced coordinates. MapSoft analysed, cleaned, transformed and validated these sources before loading structured data into the spatial database.

Historic CAD park drawing containing vegetation, paths, infrastructure and mixed legacy classifications.
Legacy park CAD drawing
Tabular vegetation records used as one of the legacy thematic data sources for migration.
Legacy vegetation valuation table
Node-based transformation workflow used to connect geometry, identifiers and thematic attributes before database loading.
Structured data-migration workflow
Operational GIS

One spatial environment for vegetation, park assets and infrastructure

The migrated data were organized in a SQLite spatial database and visualized in QGIS together with the new orthophoto. Historic and current information can be compared in the same environment, while unique identifiers connect mapped tree entities with thematic records.

Detailed orthophoto overlaid with structured vegetation, paths, infrastructure and other park GIS content.
Integrated GIS content over the project orthophoto
Organized vegetation, paths, facilities and infrastructure layers after migration into the GIS environment.
Structured park content in QGIS
Current statusOperational GIS — confirmed in use with the client, September 2026
Vegetation intelligence

Spatial entities connected to specialist arboricultural information

The confirmed project links tree locations and identifiers with thematic condition and valuation information. This makes the vegetation inventory usable as spatial data rather than a separate table or report.

QGIS view showing spatially structured tree and vegetation entities with individual crown extents and identifiers.
Tree and vegetation entities in QGIS
161assessed trees in the final technical report

Scope boundary: the specialist arboricultural assessment was performed by ARBOFIELD d.o.o. as MapSoft's subcontractor. The geospatial capture, data migration, database/GIS implementation, integration and client enablement are MapSoft's project scope.

Digital Twin foundation

A credible path from 2D GIS to object-level 3D park management

The confirmed 2024 delivery establishes the required foundation: current imagery, LiDAR, structured entities, persistent identifiers and a maintainable GIS database. Later materials demonstrate the direction toward object-level 3D measurements and richer Digital Twin workflows.

Composite of supplied point-cloud screenshots illustrating crown width, trunk diameter and tree height measurements in later 3D materials.
Object-level 3D tree metrics — later-phase context

Later-phase context — 2026 materials show object-level 3D tree measurements and handheld scanning as subsequent development beyond the confirmed 2024 delivery.

Quality & validation

High-resolution imagery backed by controlled migration

The documented orthophoto has 2 cm/pixel GSD and a reported 5 cm pixel-position RMSE. Data migration followed a controlled analyse → clean → transform → validate → load workflow, with unique identifiers used to preserve links between geometry and thematic records.

2 cm/pixelRGB orthophoto resolution
5 cmreported pixel-position RMSE
7 + 16vegetation + other GIS layers
SQLite + QGISconfirmed 2024 desktop GIS environment
Delivered outputs

A practical GIS foundation for continued park-data maintenance

The confirmed 2024 phase delivered the geospatial base, migrated data and desktop GIS environment needed to continue management and future digitalization of the protected park.

ECW

RGB orthophoto

Complete project orthophoto used as the current high-resolution spatial base.

2 cm/pixel; RMSE 5 cm · 17.9 ha
SQLite

Spatial database

SQLite database containing migrated historical and current project data.

GIS layers

Migrated vegetation datasets

Seven tree/shrub layer variants spanning historical geometry and thematic epochs.

7 datasets
GIS layers

Migrated park and infrastructure layers

Sixteen non-vegetation layers including park parcels/assets and utility networks.

16 layers
QGIS project

QGIS project and client environment

Installed QGIS environment for visualization and continued work with migrated data.

1 environment
Training / deployment

GIS installation and staff training

Software installed and client personnel trained; participant count is not confirmed.

What this project proves

Reality capture + data engineering + practical GIS for environmental asset management

Bukovička Banja demonstrates MapSoft's ability to combine reality capture, geospatial data migration and practical GIS deployment for environmental asset management. It is especially strong as proof that MapSoft can turn inconsistent historical CAD/Excel/domain records into a structured spatial database and usable client environment while integrating specialist arboricultural information.

17.9 ha protected-park area2 cm RGB orthophoto / 5 cm reported RMSE7 vegetation + 16 other GIS layersInstalled QGIS + structured SQLite environmentOperational use reconfirmed with the client in September 2026
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