50 years of
COMBINED EXPERIENCE
We have the know-how you need.
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We have delivered a wide range of hydrological and water-supply catchment management projects from 2010 to 2021, including LiDAR-based catchment development, sediment and land-use mapping, water-quality monitoring catchments, and large-scale modelling for Melbourne Water and related authorities.
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Grace GIS delivered Adelaide’s Green Infrastructure Benchmark and Mapping Project in 2015 and 2023, providing baseline benchmarks, updated geospatial datasets, and thematic mapping to support sustainable planning, land-use analysis, and climate-resilient urban strategies.
FEATURED PROJECTS
Grace Detailed-GIS Services is proud to have contributed to a range of prestigious projects across Australia, partnering with government agencies and industry leaders to deliver innovative, high-impact geospatial solutions.
Explore some of our featured projects to see how Grace GIS delivers real-world impact through innovative geospatial solutions.
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The Hughenden Irrigation Project Corporation (HIPCo)
NEWS AND RECOGNITION
HIPCo
In the Media
Blacktown City Council
2017 – Impervious Mapping Using 2014 Aerial Photography
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Mapped impervious surfaces in Blacktown City using 2014 aerial photography, producing high-resolution geospatial datasets.
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Results supported urban planning, stormwater management, and environmental sustainability initiatives through thematic maps and spatial analysis.
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2016 – Development of Nested Subcatchments for Creek Sites in Blacktown City
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Developed nested subcatchments for creek sites using LiDAR and drainage data, generating an engineered DEM for hydrological analysis.
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Improved water management, flood mitigation strategies, and urban planning efforts with precise catchment delineation.
The Hughenden Irrigation Project Corporation (HIPCo)
2018 – The Hughenden Irrigation Project Corporation (HIPCo) – Flinders River Irrigation Project (Stage 2)
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Examined 100 years of rainfall data across three catchments to identify patterns, extreme events, and seasonal trends.
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Modeled monthly inflows using SWAT, integrating SILO rainfall data and FGARA soil data for hydrological assessments.
2018 – The Hughenden Irrigation Project Corporation (HIPCo) – Flinders River Irrigation Project (Stage 2)
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Estimated yearly yield at each DAM site using inflow, evaporation, and consumption data.
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Developed graphs comparing consumption vs. available water to highlight shortages.
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Mapped gravity-fed irrigation extents for downstream areas of Alstonvale and The Gap DAM.
2018 – The Hughenden Irrigation Project Corporation (HIPCo) – Flinders River Irrigation Project (Stage 2)
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Reviewed past reports to estimate DAM construction costs in general terms.
2018 – Flinders River Project – Flinders Shire Council
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Conducted preliminary analysis of dam sites for irrigation planning.
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Derived catchment areas for Betts Gorge Creek, Flinders River, and Stewart Creek.
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Calculated storage capacities for different Full Supply Levels (FSL).
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Estimated yearly surface runoffs using the SWAT model for water availability assessments.
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Examined water diversion feasibility from Dutton River and Porcupine weir for optimized allocation.
Adelaide City Council
2016 – Solar Access Assessment for Residential Properties in Adelaide
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Evaluated 290 residential properties for solar panel suitability.
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Assessed shading risks, urban growth impacts, and heritage constraints.
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Provided geospatial data for informed solar PV system installations and sustainable energy adoption.
2015 & 2023 – Green Infrastructure Benchmark Data and Mapping Project
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Established baseline benchmarks for Adelaide’s green infrastructure (2015).
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Provided spatial data and thematic maps to support sustainable urban planning.
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Updated geospatial datasets, analysed land use changes, and refined strategies for climate resilience and urban sustainability (2023).
Ballarat City Council
2017 – Development of 3D Building Footprints for Ballarat City Council
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Converted and updated Ballarat’s building footprint data into a 3D geospatial dataset.
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Integrated LiDAR elevation attributes to enhance spatial accuracy.
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Provided a foundational dataset for urban planning, visualization, and advanced technologies like VR and AR.
2016 – Green Infrastructure Benchmark Data Mapping for Ballarat City Council
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Mapped Ballarat’s public tree canopy as polygons to transition from point-based data, improving spatial accuracy.
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Provided detailed geospatial datasets, thematic maps, and percentage-based statistics.
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Supported urban sustainability and climate adaptation planning.
Bayside City Council
2012 – Tree Canopy Mapping and Change Detection for Bayside City Council
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Mapped and analyzed tree canopy coverage changes between 2007 and 2012.
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Identified areas of gain and loss to support urban forestry initiatives.
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Findings contributed to green infrastructure planning and climate adaptation strategies.
2007 – High-Resolution Land Use/Land Cover (LULC) Mapping for Bayside City Council
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Delivered precise geospatial datasets for urban planning and environmental management.
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Established a detailed baseline for impervious surfaces, tree canopy, green spaces, and water bodies.
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Provided foundational data for sustainability and policy development efforts.
City of Melbourne
2015 – Integrated Climate Adaptation Model (ICAM) for the City of Melbourne
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Developed a predictive model for extreme climate event impacts.
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Optimized infrastructure investments by integrating flood mitigation and drought resilience strategies.
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Enhanced stormwater management through advanced hydrological analysis.
2008 – Coastal Inundation Modelling Using Bath-Tub Approach
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Utilized high-resolution LiDAR elevation data to derive inundation extents.
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Developed flood impact visualizations at 10cm intervals for coastal areas.
2018, 2016, 2015, 2014, 2011, 2008 – Tree Canopy Mapping and Change Detection
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Monitored changes in tree canopy over multiple years.
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Supported urban forestry planning and environmental management strategies.
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Contributed to green infrastructure policies and climate adaptation efforts.
2012 – Compilation of GIS Outputs for Internal Use
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Standardized GIS datasets for seamless integration within City of Melbourne’s internal systems.
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Refined building footprints, flood extents, and land cover data using LiDAR and aerial imagery.
2009 – High-Resolution Land Use/Land Cover Mapping for the City of Melbourne Area
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Developed precise datasets for urban planning and environmental management.
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Created a baseline for impervious surfaces, green spaces, and water bodies.
Hobsons Bay City Council
2024 – Tree Canopy Mapping
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Developed tree canopy datasets for Hobsons Bay City Council using advanced geospatial analysis.
2022 – Empowering LGA with Flow Modelling
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Utilized hydrological modelling to support water management strategies within the local government area.
2022 – Determining Catchments for Hobsons Bay City Council
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Created detailed catchment delineations to improve flood and drainage planning.
2021 – 1m, 0.1m, and 0.25m Contours Development Using 2018 LiDAR
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Developed high-precision contour datasets for terrain analysis using LiDAR data.
2017 – Building Footprints Mapping
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Created accurate geospatial representations of building footprints for urban planning.
2016 – Mapping Speed Humps
2018 – Determining Volumetric Change Since June 2018 Within a Quarry
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Identified and mapped speed hump locations to enhance transportation planning.
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Analyzed volumetric shifts within a quarry using spatial data and elevation modelling.
Melbourne Water
2024
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Development of various types of water supply catchments using LiDAR data
2021
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Development of catchments for Melbourne Water waterbodies
2014
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Mapping sediment catchments and quantifying industrial land use
2012
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Development of catchments for monitoring water quality and bug sites
2011
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Modelling 60ha and 200ha catchments for Dandenong Valley Authority using LiDAR-based elevation models
2010
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Updating Melbourne Water primary catchments using LiDAR data
2010
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Development of engineered catchments for Greenvale Reservoir
2020
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Melbourne Urban Stormwater Institutional Arrangements Review (MUSIA) – spatial data interrogation for a 150ha catchment model
2019
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Estimating water velocity from flood extents and elevation models
2024
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Mapping grass cutting areas in Melbourne Water-managed land
2019
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Mapping wetlands and water bodies for Melbourne Water area
2023
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Tree Hazard Management GIS layer update
2017
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Mapping willows across Melbourne Water’s stream network
2020
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Mapping tree canopy for 2006 and 2016 across Melbourne Water’s area
2014
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Mapping tree canopy within Melbourne Water land areas
2012
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Understory mapping for Melbourne Water areas
2025
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Optimizing MW vantage points using LiDAR-based viewshed models
2010
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Mapping revegetation, weed control, and area under management
2024
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Mapping tree canopy for 2006 and 2016 across Melbourne Water’s area
2023
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Building footprints mapping and attribute assembly using 2021-23 aerial photos
2024
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Mapping fuel breaks in Melbourne Water catchments
2015
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Cathodic protection test points mapping
2018
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Building footprints mapping and attribute assembly using a combination of LiDAR and aerial photos
2013
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Updating existing building footprints mapping and attribute assembly
2012
2014
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Updating MW linear and segment assets
2022
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Development of MW subcatchments layer (WERG, University of Melbourne)
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Updating 2009 building footprints mapping and attribute assembly
2010
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Building footprints mapping and attribute assembly
2016
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Nested subcatchments for directly connected impervious (DCI) modelling
2016
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LiDAR-based subcatchment and network modelling for primary catchment areas of Melbourne Water region
CRCSI (CRC for Spatial Information)
2008 - Coastal Inundation Modelling (Bath-tub Approach) for Sydney Botany Bay
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By fully utilising a high-resolution LiDAR elevation model, inundation extents were derived at 10 cm intervals to visualize the affected areas.
Growth Area Authority
2010 – 3D visualisation and Visibility Analysis
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Grace GIS used 3D visualisation and visibility analysis to model urban spaces and assess sightlines, supporting smarter planning, design, and infrastructure decisions.
VicRoads
2018 – 3D visualisation
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Grace GIS applied 3D visualisation to road networks to assess elevation changes, visibility, and surrounding infrastructure. This supports safer, more efficient road design, asset planning, and infrastructure upgrades.