PROJECTS
Enhance Local Government GIS Platform
Zarbellika provides GIS support services for the upgrade of spatial data into a Local Governments IntraMaps system.
Ski Trails Live on Google™ Maps
Zarbellika provided GIS contracting services to Perisher, successfully generating ski trails for live display on Google™ Maps. This has resulted in Perisher being at the forefront of ski resorts in Australia; being exclusive with ski trails live on Google™ Maps.
Developing Land Management Units using Geospatial Technologies: an Agricultural Application
This research develops a methodology for determining farm scale land management units (LMUs) using soil sampling data, high resolution multi-spectral imagery (DMSI) and a digital elevation model (DEM). The two-stage methodology uses a spatially weighted multivariate classification to delineate the LMUs. The LMUs are zones within a paddock suitable for precision agriculture which are managed according to their productive capabilities.
Muresk Soil Map
Curtin University Muresk Campus (Muresk) expressed an interest in updating the existing soil map of the Muresk farm area, adding detail and reclassifying in accordance with a specified soil classification system. Characteristic soil maps classified according to the Soil Groups of Western Australia (Schoknecht, 2002) provide an overview of the distribution of soils on Muresk farm at paddock scale. Utilising previous research (Warren, 2007) which formed LMUs based on soil sampling data and attributes from high resolution DMSI and DEM, the distribution of Soil groups and supergroups within these LMUs has been displayed.
Maps have been produced to highlight the spatial location and variation of the soils. The spatial data has been built into a GIS project specific for Muresk farm in ArcGIS format. The spatial data includes; soil sampling points attributed with physical and chemical soil properties and the Soil Groups of Western Australia, LMUs, topographic attributes (elevation, slope%, CTI, landform), DMSI and derivative products. It also includes Characteristic soils in Muresk according to Soil Groups of Western Australia and the distribution of the dominating soil groups in Muresk.
The output can be used for teaching and research, providing a more detailed understanding of the soil landscape across Muresk farm. The numerous digital spatial data layers covering the farm are compiled to form a geographic information system (GIS) project for Muresk in ArcGIS format. The GIS provides a teaching resource and can assist research into best farm management practises.
Exploring the Relationship of Digital Multi-Spectral Imagery with Agricultural Crops and Soil Properties
This research investigated methods and techniques more effective for mapping variations in soil properties and vegetation conditions. Selected soil properties and vegetation attributes (collected from a broad scale agricultural property) were correlated with high-resolution digital multispectral imagery.
Low cost remote sensing approach for designing effective sampling strategies of soil properties for site-specific crop management
This research proposed a low-cost and rapid method for designing an optimal soil sampling strategy for precision farming applications, combining information derived from a high resolution digital airborne multispectral imagery and a digital elevation model.
Rapid Assessment and Monitoring of Vegetation Degradation in Agricultural Landscapes
This research developed a reliable, cost-effective and practical system for assessing and monitoring the condition of crops and perennial vegetation areas, using high-resolution video data and geographic information systems technologies.
Mapping cropped areas by using Digital Multi-spectral Video Systems. A case study in the area of Toolibin Lake, Western Australia
The project investigated the applicability and accuracy of landscape analysis of crops using high-resolution multispectral video systems.
A GIS approach for modelling the spatial distribution of areas suitable for growing Tasmanian Blue Gums
The project identified the variables that influence the growth of Tasmanian Blue Gum, thus to build a complete data set useful for spatial data analysis focused on the selection of areas most suitable for growing Tasmanian Blue Gums in the shire of Bridgetown-Greenbushes, in Western Australia.