Industries: Environment
Coastal Mapping
This competitive tender was let by the Queensland Department of Infrastructure and Planning, on behalf of the Environmental Protection Agency (EPA)to carry out a LiDAR survey to produce a highly detailed Digital Elevation Model (DEM) and contours of a section of potential new national Park in South East Queensland. The EPA needed mapping of this level of detail so they could plan the implementation of the new National Park and monitor the possible effects of climate change over this low lying coastal land.
The EPA required 0.2 meter contours over the 64 sq km area to understand even the most subtle of the drainage dynamics of the project area. The area is covered by a variety of land types including dense littoral forest, sand dunes and mud flats.
The key to a good result were high accuracy and good penetration of the vegetation to achieve a high number of points on the ground. As illustrated in the diagrams below, the LiDAR scans achieved excellent penetration through the thick vegetation with no discernable difference in DEM quality between the vegetated and non-vegetated areas. Checking of the control indicated an absolute accuracy of approximately 10 cm and a relative accuracy of a very high 15mm were achieved.
The project was successfully delivered with the EPA receiving an accurate and reliable DEM on which they can base their assessment, planning and future monitoring.
0.2m contours generated through dense coastal vegetation
DEM showing sand tracks and holding ponds
Land Cover Mapping over South East Queensland
Believe it or not, up until now there has been no up to date map of "Land Cover" over the fastest growing area in Australia, South East Queensland. Land Cover shows what is actually on the ground. For example, the extent of urbanisation, the extent of agricultural land and the extent of forests - all essential information for planners trying to grapple with the rapid changes occuring in SE Queensland.
Terranean was contracted by NRM group, SEQ Catchments, to carry out this satellite imagery value-add work. SEQ Catchments has made the large investment to create a seamless 2.5m colour SPOT mosaic over SE Qld. However, while this data is very useful is little more than a picture. Terranean used sophisticated techniques to combine this data with other geographic information to produce an accurate and up to date Land Cover map over the whole region.
Terranean developed a new innovative approach to what has previously been a labour intensive and subjective task. In summary, we used statistical image analysis techniques to map four Primary Classes - Trees, Non-Tree Vegetation, Non-Vegetated Surfaces and Water. We then developed complex GIS rules that sub-divided the Primary Classes into Secondary Classes using externally sourced spatial information such as Landuse, Zoning, Forestry, Agriculture and Vegetation. For example the Primary class, Trees, was allocated to secondary classes Plantation, Orchard or Native Vegetation depending on Landuse and Vegetation type.
Terranean is one of the few private companies in Australia that specialises in value adding Satellite Imagery and we are presently carrying out similar projects for other NRM groups, Government Departments and private companies.
US Army Corps of Engineers
Arkansas River Mapping Project
The Challenge
The Arkansas River is one of the most important rivers, historically and economically, in the US. Over 2300 kilometres in length, it is the longest tributary in the Missouri-Mississippi system and is the 4th longest river in the US. The Oklahoma and Arkansas River reaches are of particular importance as they play a vital role in barge traffic and recreation.
The US Army Corps of Engineers (COE) is charged with a number of environmental, flood management, and river navigation responsibilities for the Arkansas River. In order to fulfil these responsibilities, the COE requires accurate and reliable digital elevation data for the Arkansas River and surrounding areas.
The challenge for this project was to produce a dataset of accurate height points at 5-metre intervals across the entire project area, covering 1500 square kilometres along a 500-kilometre length of the river.
The Solution
Terranean’s advanced digital photogrammetry systems were used for the project. These leading-edge computer mapping systems use scanned, overlapping, aerial photographs to view and measure terrain in three dimensions. Terranean processed 2800 frames of aerial photography using this technique, in order to provide digital data to the required standard.
Throughout the course of the project, Terranean encountered and overcame a considerable number of technical challenges. Several thousand gigabytes of data had to be effectively stored and managed. Undertaking final quality assurance for the enormous volumes of data created a significant production bottleneck, which was overcome by using specially developed automated quality assurance routines, operating 24 hours per day. Extensive use of Internet-based file transfer protocol (ftp) for delivery of datasets to the US enabled prompt delivery.
The Result
Arkansas River Mapping Project project took 12 months to complete and was completed on budget, one week ahead of schedule on 31 May 2004. During the course of the project, digital elevation data comprising over 60 million height points was produced to the client’s strict quality standards. Export income of AUD$260,000 was earned by Terranean on this project.
NSW Regional Forest Inventory
Vegetation Mapping
What are Forest Agreements?
Allocating forest areas to the most appropriate uses provides certainty for the timber industry, and ensures that all forest types are adequately protected. In order to achieve this ideal, the NSW Government initiated the Regional Forest Assessments to objectively assess the conservation value, as well as the economic and social value of its forests. An integral part of this process was the accurate mapping and compilation of detailed forest inventory data over all State Forests in NSW.
The Solution
Terranean Mapping Technologies demonstrated superior skills in air photo interpretation (API), vegetation mapping, and GIS development, which were necessary to carry out this exacting and politically sensitive project.
The work involved developing a production process that included API, ortho-rectification, and geo-referencing the API polygons. Large amounts of data were then merged and edited. Specific software was developed to automatically ortho-rectify the digitized vector information without changing the aerial photographic images.
The Result
Because Terranean’s unique range of skills, it became the key contractor for this large and prestigious project. Terranean developed more than $300,000 worth of environmental forest inventory data from more than 4000 aerial photographs, and compiled the final data for each region.
Caboolture Shire Council
Scenic Amenity Modelling
Caboolture Shire is one of South East Queensland’s primary growth areas, and contains some of Queensland’s most impressive scenery, including part of the Glass House Mountains. As a relatively underdeveloped shire, Caboolture needs to accommodate rapid development while maintaining its unique semi-rural lifestyle and landscapes.
The Challenge
Caboolture Shire needed assistance with deciding where to locate development, while minimising damage to the landscape, a sustainable tourism industry, and quality of life. Specifically, it needed to identify, on a Council-wide basis, areas regarded by the community as precious and worth preserving.
The Solution
Terranean Mapping Technologies, in association with Forest Images and the Queensland Environmental Protection Agency, developed a process called Scenic Amenity Modelling. Terranean and Forest Images were chosen by Caboolture Shire to carry out this modelling work.
The first stage of the process involved a survey of public opinion using photographs of different landscapes in the area, such as forest, pasture, residential, industrial etc. The results of the survey were statistically analysed to produce a model that can be applied to a land-cover map within a GIS. A Scenic Preference map showing community appreciation for different types of landscape then was created.
The next step involved mapping Visual Exposure across the landscape, relative to a set of viewing locations including roads, trails, tourist attractions, community facilities, lookouts etc. Previous models for mapping Visual Exposure simply counted the number of viewing locations that could be seen from each point in the landscape, without taking into account distance, orientation (slope and aspect), the intervening vegetation, and number of viewers. Visual Exposure was calculated from a DEM and a set of viewing locations.
The final step involved combining Scenic Preference and Visual Exposure in order to produce a map of Scenic Amenity. Scenic Amenity was calculated so that highly visible, preferred landscapes were given the highest score, while the high visibility least preferred landscapes were given the lowest score. Areas with low visibility have intermediate Scenic Amenity.
The result
Caboolture Shire was extremely happy with the work, which has become a key council-planning tool. The project won two Planning Institute of Australia Awards for Excellence, in the Media and Environmental Planning categories.The methodology has also been endorsed by the South East Queensland Regional Organisation of Councils (SEQROC) as the preferred method for assessing Scenic Amenity. Terranean and Forest Images also have applied the methodology in projects for the Ipswich and Brisbane City Councils, and the Lockyer Valley, as well as the South East Queensland regional plan.
Ecological Modelling
Australian National University
The Challenge
Aerial photography and Satellite Remote Sensing data can be valuable for mapping vegetation; however, it is relatively insensitive to subtle differences in species composition and requires significant ground truthing for reliable results. The Australian National University needed a way of increasing the probability of prediction of vegetation communities, without generating excessive extra cost.
The Solution
GIS is a powerful tool for environmental data analysis and predictive modelling. Previously, it had been shown that the distribution of plant species and communities were determined by the interactions illustrated above.
On the basis of these relationships, a new and innovative procedure was developed to map vegetation communities using a combination of GIS and artificial intelligence. The methodology was tested on an area of forest where the vegetation communities had previously been identified by classification of floristic survey data.
The range of physical variables, thought to influence the distribution of vegetation communities, was derived from readily available mapping data. The variables included topographic exposure, slope, aspect, catchment area, steepness, and geology. A combination of GIS modelling and Decision Tree Analysis was used to classify the study area into environments that were likely to support different forest communities.
Result
The resulting map predicted the distribution of forest communities with an exceptional accuracy of approximately 85%, and was recognised as a great improvement on remote sensing alone. Since then, the methodology has been used in a range of projects for mapping ecological distributions.
Panguna Mine
Environmental Monitoring
The Problem
The Panguna mine in Bougainville is well known because of the actions of Francis Ona and his followers, which led to the closure of the mine because of concerns about environmental and economic exploitation. Mining began in 1968 and the mine grew to a width of 2.5 km and a depth of 400 m, making it the largest mine in Papua New Guinea, and one of the largest open-cut mines in the world. As part of their ongoing obligation to the project, CRA Bougainville Ltd resolved to objectively assess the extent of change caused to the Jaba River during, and subsequent to, the operation of the mine.
The Solution
Terranean Mapping Solutions was engaged to carry out GIS and remote sensing analysis, in order to accurately quantify, through remote sensing, the extent of hydrological and catchment sedimentation,along the Jaba River.
Topographic maps, derived from 1973 photography, were digitised and compared with data derived from 1984 Aerial Photography, 1989 and 1990 Landsat images, and 1996 RADARSAT imagery. Remote Sensing and GIS modelling techniques were used to accurately quantify changes in sedimentary and hydrological processes during a 30-year period.
Result
The project succeeded in developing a quantifiable, repeatable method of assessing the sedimentation, vegetation cover, and hydrological processes of the Jaba River and its catchment.