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Research papers, University of Canterbury Library

This report to RCP Ltd and University of Canterbury summarises the findings of a 5 month secondment to the CERA Port Hills Land Clearance Team. Improvement strategies were initiated and observed. The Port Hills Land Clearance Programme is the undertaking of the demolition of all built structures from the Crown’s compulsory acquired 714 residential red zoned properties. These properties are zoned red due to an elevated life risk as a result of geotechnical land uncertainty following the 2011 Canterbury Earthquakes.

Videos, NZ On Screen

This Philip Temple-scripted episode of Our People, Our Century covers stories of New Zealanders and their turangawaewae: a piece of land they call their own. The importance of the land to farming families, and to the economy of NZ is explored through the eyes of three families. Elworthy Station in South Canterbury is being farmed by a 5th generation Elworthy. Two elderly ladies reminisce on their childhood in remote Mangapurua, near Raetihi in the central North Island. And a Māori family in Taranaki reflects on their decision to sell the family farm. 

Videos, UC QuakeStudies

Part seven of a video series about the first stage of the Tonkin & Taylor Geotechnical Land Damage Assessment and Reinstatement Report. The report was prepared for the Earthquake Commission after the 4 September 2010 earthquake.

Videos, UC QuakeStudies

Part two of a video series about the first stage of the Tonkin & Taylor Geotechnical Land Damage Assessment and Reinstatement Report. The report was prepared for the Earthquake Commission after the 4 September 2010 earthquake.

Videos, UC QuakeStudies

Part six of a video series about the first stage of the Tonkin & Taylor Geotechnical Land Damage Assessment and Reinstatement Report. The report was prepared for the Earthquake Commission after the 4 September 2010 earthquake.

Videos, UC QuakeStudies

Part five of a video series about the first stage of the Tonkin & Taylor Geotechnical Land Damage Assessment and Reinstatement Report. The report was prepared for the Earthquake Commission after the 4 September 2010 earthquake.

Videos, UC QuakeStudies

Part four of a video series about the first stage of the Tonkin & Taylor Geotechnical Land Damage Assessment and Reinstatement Report. The report was prepared for the Earthquake Commission after the 4 September 2010 earthquake.

Videos, UC QuakeStudies

Part three of a video series about the first stage of the Tonkin & Taylor Geotechnical Land Damage Assessment and Reinstatement Report. The report was prepared for the Earthquake Commission after the 4 September 2010 earthquake.

Videos, UC QuakeStudies

Part one of a video series about the first stage of the Tonkin & Taylor Geotechnical Land Damage Assessment and Reinstatement Report. The report was prepared for the Earthquake Commission after the 4 September 2010 earthquake.

Audio, Radio New Zealand

Some of Christchurch's earthquake damaged red-zone land is another step closer to having some long term decisions made about its future. Today the Minister of Greater Christchurch Regeneration, Megan Woods, formally handed over ownership of 70 hectares of land to the Christchurch City Council. The land gifted to the council is in the coastal suburbs of Southshore, South Brighton and Brooklands, where residents have been waiting almost a decade to find out what the future holds for their area. Rachel Graham reports

Research papers, University of Canterbury Library

Land cover change information in urban areas supports decision makers in dealing with public policy planning and resource management. Remote sensing has been demonstrated as an efficient and accurate way to monitor land cover change over large extents. The Canterbury Earthquake Sequence (CES) caused massive damage in Christchurch, New Zealand and resulted in significant land cover change over a short time period. This study combined two types of remote sensing data, aerial imagery (RGB) and LiDAR, as the basis for quantifying land cover change in Christchurch between 2011 – 2015, a period corresponding to the five years immediately following the 22 February 2011 earthquake, which was part of the CES. An object based image analysis (OBIA) approach was adopted to classify the aerial imagery and LiDAR data into seven land cover types (bare land, building, grass, shadow, tree and water). The OBIA approach consisted of two steps, image segmentation and object classification. For the first step, this study used multi-level segmentation to better segment objects. For the second step, the random forest (RF) classifier was used to assign a land cover type to each object defined by the segmentation. Overall classification accuracies for 2011 and 2015 were 94.0% and 94.32%, respectively. Based on the classification result, land cover changes between 2011 and 2015 were then analysed. Significant increases were found in road and tree cover, while the land cover types that decreased were bare land, grass, roof, water. To better understand the reasons for those changes, land cover transitions were calculated. Canopy growth, seasonal differences and forest plantation establishment were the main reasons for tree cover increase. Redevelopment after the earthquake was the main reason for road area growth. By comparing the spatial distribution of these transitions, this study also identified Halswell and Wigram as the fastest developing suburbs in Christchurch. These results provided quantitative information for the effects of CES, with respect to land cover change. They allow for a better understanding for the current land cover status of Christchurch. Among those land cover changes, the significant increase in tree cover aroused particularly interest as urban forests benefit citizens via ecosystem services, including health, social, economic, and environmental benefits. Therefore, this study firstly calculated the percentages of tree cover in Christchurch’s fifteen wards in order to provide a general idea of tree cover change in the city extent. Following this, an automatic individual tree detection and crown delineation (ITCD) was undertaken to determine the feasibility of automated tree counting. The accuracies of the proposed approach ranged between 56.47% and 92.11% in thirty different sample plots, with an overall accuracy of 75.60%. Such varied accuracies were later found to be caused by the fixed tree detection window size and misclassifications from the land cover classification that affected the boundary of the CHM. Due to the large variability in accuracy, tree counting was not undertaken city-wide for both time periods. However, directions for further study for ITCD in Christchurch could be exploring ITCD approaches with variable window size or optimizing the classification approach to focus more on producing highly accurate CHMs.