title: Managing rising residual flood risk: A national survey of Aotearoa-New Zealand

authors: Fu, Xinyu

abstract: Flooding is one of the most frequent and costliest natural hazards around the world. Traditionally, flood risk management has relied on building protective structures such as levees and dams to protect assets based on historical data (e.g., 1% AEP flood), which encourages development on floodplains, provides a potentially false sense of security to communities, particularly in the context of climate change, and increases residual flood risk (the risk remaining after implementing risk reduction measures). This article aims to contribute to the management of residual risk by drawing on empirical findings from a survey carried out with flood risk practitioners from the public and private sector in Aotearoa New Zealand. Findings indicate fundamental concerns relating to how to best manage residual flood risk, despite its long profile and integration in current policy and practice. Other issues revolve around the use of outdated information to guide decisions and the lack of regulatory power to restrict developments in flood-prone areas protected by hard defense structures. Identified barriers to improving current practice include the lack of national guidance and support, financial resources, public awareness, and some technical constraints such as uncertainties in flood modeling, staff expertise, and data availability.

text: Managing rising residual flood risk: A national survey of Aotearoa-New Zealand Flooding is one of the most frequent and costliest natural hazards around the world. Traditionally, flood risk management has relied on building protective structures such as levees and dams to protect assets based on historical data (e.g., 1% AEP flood), which encourages development on floodplains, provides a potentially false sense of security to communities, particularly in the context of climate change, and increases residual flood risk (the risk remaining after implementing risk reduction measures). This article aims to contribute to the management of residual risk by drawing on empirical findings from a survey carried out with flood risk practitioners from the public and private sector in Aotearoa New Zealand. Findings indicate fundamental concerns relating to how to best manage residual flood risk, despite its long profile and integration in current policy and practice. Other issues revolve around the use of outdated information to guide decisions and the lack of regulatory power to restrict developments in flood-prone areas protected by hard defense structures. Identified barriers to improving current practice include the lack of national guidance and support, financial resources, public awareness, and some technical constraints such as uncertainties in flood modeling, staff expertise, and data availability.

year: 2023-01-01

title: Forest change mapping using remote sensing and Google Earth Engine

authors: Walawe Durage, Kalpanie Vimarshana Nandasena

subjects: Google Earth Engine

abstract: With advancements in data sources, software, and image analysis techniques, remote sensing has become an efficient method for forest classification. However, access to this technology has been limited for developing countries due to the high cost of high resolution images and analysis software. A potential solution is that NASA and the European Space Agency provide free access to mid-low resolution satellite images. In addition, Google Earth Engine (GEE), a free cloud-based geospatial analysis platform, has allowed researchers from developing countries to conduct research without relying on costly remote sensing software. This study evaluates the suitability of the freely available images and the GEE platform for different forest management applications in Sri Lanka. The research focused on three different scenarios in vegetation mapping: identifying home gardens, monitoring invasive pines, and forest cover mapping in a tropical montane region.
Home garden is an agroforestry class seen in tropical countries often overshadowed by global land cover classifications. This study used a random forest classification algorithm to classify the home garden, utilizing terrain data and Sentinel-2A images as the dataset. The results confirmed that the red band of Sentinel-2 and textural metrics derived from grey-level co-occurrence matrix analysis are effective in identifying home gardens from other forestry classes.
Monitoring the spread of invasive pines is important for forest management in Sri Lanka. This study used Landsat satellite images for the years 2000 and 2021 to detect the exotic Pinus caribaea species invasion of native habitats. By using an image difference technique, this research identified that the extent of these invasive pines had an overall decline over the past 21 years. Further, results showed that broadleaved forests and grasslands located within 100m of the pine plantations’ borders were susceptible to invasion.

In tropical regions, analysing forests can be difficult due to cloud cover. This research also focused on methods to enhance classification accuracy using multiple data sources: Sentinel-1, Sentinel-2, PALSAR-2, and elevation. Six different methods were tested. It was found that combining radar data with optical and topographical data improved vegetation classification accuracy. In addition, feature importance analysis using the random forest algorithm indicated that radar data plays a significant role in tropical land use classification.
The three case studies used in this research demonstrate that GEE and the freely available mid-low resolution satellite images make the application of remote sensing in Sri Lanka a viable solution for the monitoring and mapping of landcover.

text: Forest change mapping using remote sensing and Google Earth Engine With advancements in data sources, software, and image analysis techniques, remote sensing has become an efficient method for forest classification. However, access to this technology has been limited for developing countries due to the high cost of high resolution images and analysis software. A potential solution is that NASA and the European Space Agency provide free access to mid-low resolution satellite images. In addition, Google Earth Engine (GEE), a free cloud-based geospatial analysis platform, has allowed researchers from developing countries to conduct research without relying on costly remote sensing software. This study evaluates the suitability of the freely available images and the GEE platform for different forest management applications in Sri Lanka. The research focused on three different scenarios in vegetation mapping: identifying home gardens, monitoring invasive pines, and forest cover mapping in a tropical montane region.
Home garden is an agroforestry class seen in tropical countries often overshadowed by global land cover classifications. This study used a random forest classification algorithm to classify the home garden, utilizing terrain data and Sentinel-2A images as the dataset. The results confirmed that the red band of Sentinel-2 and textural metrics derived from grey-level co-occurrence matrix analysis are effective in identifying home gardens from other forestry classes.
Monitoring the spread of invasive pines is important for forest management in Sri Lanka. This study used Landsat satellite images for the years 2000 and 2021 to detect the exotic Pinus caribaea species invasion of native habitats. By using an image difference technique, this research identified that the extent of these invasive pines had an overall decline over the past 21 years. Further, results showed that broadleaved forests and grasslands located within 100m of the pine plantations’ borders were susceptible to invasion.

In tropical regions, analysing forests can be difficult due to cloud cover. This research also focused on methods to enhance classification accuracy using multiple data sources: Sentinel-1, Sentinel-2, PALSAR-2, and elevation. Six different methods were tested. It was found that combining radar data with optical and topographical data improved vegetation classification accuracy. In addition, feature importance analysis using the random forest algorithm indicated that radar data plays a significant role in tropical land use classification.
The three case studies used in this research demonstrate that GEE and the freely available mid-low resolution satellite images make the application of remote sensing in Sri Lanka a viable solution for the monitoring and mapping of landcover.

year: 2023

title: Challenges Faced – Implications for Policy: The Everyday Lives of Eastern European Women in New Zealand

authors: Ember, Adrienna

subjects: everyday life

abstract: This study explored the everyday lives, aspirations, and coping strategies of seven Eastern European immigrant women in New Zealand who came from Bulgaria, the former Eastern Germany, Hungary, Poland, Romania, Serbia, and Slovakia. The answers to the research questions aimed to contribute to the deconstruction of the invisibility and marginalisation of these women in New Zealand.
Guided by the philosophies of Kaupapa Māori Research; the theory of Human Wellbeing; and the theory of Positive Psychology, and using the methods of narrative inquiry, three interviews were conducted with each participant. The focus of the first interviews was to learn about the everyday lives of research participants in their countries of origin. The second interview explored the reasons of relocation to New Zealand, the settlement process, and how women re-established their lives in their new locations. In the final interviews women talked about their current everyday lives and their plans for the future.
Interviews were recorded and summarised in interview summary reports which research participants modified in collaboration with the researcher until a final version was achieved. In addition, women participated in two focus group sessions. The first session was devoted to establish connections among the participants and allow themes to emerge from their conversations. The second group session aimed to explore areas women struggled with in their lives the most: relationships and employment opportunities.
The study yielded contributions to the research topic, to the acculturation literature, and to the design of research with migrants. Firstly, it revealed both negative and positive aspects of the participants’ everyday lives and highlighted some under-researched cultural differences from the mainstream population.
Women highlighted as an important cultural difference their strong preference for straightforward communication which was often experienced as offensive and blatant by local New Zealanders. Research participants critiqued the necessity of networking to obtain jobs in New Zealand which is a clear obstacle for a newly arrived migrant.
This study also highlighted how the acculturation process is more individual and complex than conventional models have sought to explain. While traditional acculturation literature suggests that migrants go through some common patterns during their settlement that ideally leads to their assimilation to the host culture, in this research not all migrant women intended to assimilate. Indeed, those with a stronger wish to become part of the host culture reported more disappointments than those who embraced their cultural otherness as a positive aspect and did not mind reminding different from the dominant Pakeha culture.
Finally, for migrant studies a less common research design was applied by using the Kaupapa Māori framework. This philosophy proposes a research process that empowers immigrants to voice their needs and strengthen them as agents of their lives beyond the research process. While two strength based theories were used for data interpretation (the 3-D model of the Human Wellbeing Theory and the PERMA model of Positive Psychology), the data analysis revealed that both models showed some limitations by failing to incorporate the dimension of spiritual and physical wellbeing within their domains.

text: Challenges Faced – Implications for Policy: The Everyday Lives of Eastern European Women in New Zealand This study explored the everyday lives, aspirations, and coping strategies of seven Eastern European immigrant women in New Zealand who came from Bulgaria, the former Eastern Germany, Hungary, Poland, Romania, Serbia, and Slovakia. The answers to the research questions aimed to contribute to the deconstruction of the invisibility and marginalisation of these women in New Zealand.
Guided by the philosophies of Kaupapa Māori Research; the theory of Human Wellbeing; and the theory of Positive Psychology, and using the methods of narrative inquiry, three interviews were conducted with each participant. The focus of the first interviews was to learn about the everyday lives of research participants in their countries of origin. The second interview explored the reasons of relocation to New Zealand, the settlement process, and how women re-established their lives in their new locations. In the final interviews women talked about their current everyday lives and their plans for the future.
Interviews were recorded and summarised in interview summary reports which research participants modified in collaboration with the researcher until a final version was achieved. In addition, women participated in two focus group sessions. The first session was devoted to establish connections among the participants and allow themes to emerge from their conversations. The second group session aimed to explore areas women struggled with in their lives the most: relationships and employment opportunities.
The study yielded contributions to the research topic, to the acculturation literature, and to the design of research with migrants. Firstly, it revealed both negative and positive aspects of the participants’ everyday lives and highlighted some under-researched cultural differences from the mainstream population.
Women highlighted as an important cultural difference their strong preference for straightforward communication which was often experienced as offensive and blatant by local New Zealanders. Research participants critiqued the necessity of networking to obtain jobs in New Zealand which is a clear obstacle for a newly arrived migrant.
This study also highlighted how the acculturation process is more individual and complex than conventional models have sought to explain. While traditional acculturation literature suggests that migrants go through some common patterns during their settlement that ideally leads to their assimilation to the host culture, in this research not all migrant women intended to assimilate. Indeed, those with a stronger wish to become part of the host culture reported more disappointments than those who embraced their cultural otherness as a positive aspect and did not mind reminding different from the dominant Pakeha culture.
Finally, for migrant studies a less common research design was applied by using the Kaupapa Māori framework. This philosophy proposes a research process that empowers immigrants to voice their needs and strengthen them as agents of their lives beyond the research process. While two strength based theories were used for data interpretation (the 3-D model of the Human Wellbeing Theory and the PERMA model of Positive Psychology), the data analysis revealed that both models showed some limitations by failing to incorporate the dimension of spiritual and physical wellbeing within their domains.

year: 2016