title: Creating peaceful and effective schools through a culture of care

authors: Cavanagh, Tom

subjects: cultural identity

abstract: Many schools in New Zealand, the USA, and elsewhere, are searching for ways to respond positively to the educational achievement disparities that exist between majority culture students and students from minority ethnic and cultural communities. Most of the approaches and strategies that have been implemented to date have either failed, or had minimal positive influence. This paper presents the results of over five years of research, conducted collaboratively by the authors, that has been focused on developing the theory and practice of a 'culture of care' in schools. Using a cultural lens to interpret the findings, these replicated studies offer the promise of positively influencing the culture of schooling in the USA, New Zealand and beyond. Creating a culture of care requires schools and teachers to be cognisant of how the school and classroom values, beliefs and practices make it safe for all students to engage, to contribute, to belong and to feel confident in their own cultural identities.

text: Creating peaceful and effective schools through a culture of care Many schools in New Zealand, the USA, and elsewhere, are searching for ways to respond positively to the educational achievement disparities that exist between majority culture students and students from minority ethnic and cultural communities. Most of the approaches and strategies that have been implemented to date have either failed, or had minimal positive influence. This paper presents the results of over five years of research, conducted collaboratively by the authors, that has been focused on developing the theory and practice of a 'culture of care' in schools. Using a cultural lens to interpret the findings, these replicated studies offer the promise of positively influencing the culture of schooling in the USA, New Zealand and beyond. Creating a culture of care requires schools and teachers to be cognisant of how the school and classroom values, beliefs and practices make it safe for all students to engage, to contribute, to belong and to feel confident in their own cultural identities.

year: 2013

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: The Aroha block to 1879

authors: Hart, Philip

abstract: Te Aroha was valued by Maori because of its strategic position as well as its healing hot springs, while Pakeha anticipated acquiring a large area (which shrank in size once surveyed) of fertile farming land. Before the Crown could acquire the block, the ownership of a disputed area fought over by the Marutuahu tribes (especially Ngati Maru) and Ngati Haua had to be determined. After the battle of Taumatawiwi of 1830, claimed as a victory by both sides, subsequent smaller battles continued for some years. In place of deciding ownership on this basis, the new land court struggled to make a judgment on the basis of  contradictory claims about ancestry, battles large and small, and occupation.
One part of the larger Aroha block, Ruakaka, was considered separately in 1869, resulting in the court allocating it to Ngati Haua. Also in that year, the first hearing of the Aroha Block was held, at Matamata, with the same outcome. Because of Maratuahu anger and threats of violence, Ngati Haua failed to survey the land as required, and a second hearing was held in Auckland, in 1871, at which Ngati Maru triumphed. Subsequently the block was occupied, but conflicts continued, notably when Ngati Haua gave a Pakeha permission to run cattle at Waiharakeke, further upriver. 
Starting in 1873, James Mackay slowly purchased the interests of individuals claiming ownership of the block, and paid off the Ngati Haua claimants. Then in December 1876, Ngati Tumutumu/Ngati Rahiri claimed the land for themselves, and in the following year the ownership of the Waitoki block, downstream from Te Aroha, was contested. In July 1878, a third hearing of the Aroha case commenced, resulting in Ngati Rahiri being allocated £3,000 and 7,500 acres, the remainder of the block going to Ngati Maru. Subsequently, the process of subdividing the owners’ interests proceeded, very slowly, and a small number of Pakeha settled and commenced farming or storekeeping.

text: The Aroha block to 1879 Te Aroha was valued by Maori because of its strategic position as well as its healing hot springs, while Pakeha anticipated acquiring a large area (which shrank in size once surveyed) of fertile farming land. Before the Crown could acquire the block, the ownership of a disputed area fought over by the Marutuahu tribes (especially Ngati Maru) and Ngati Haua had to be determined. After the battle of Taumatawiwi of 1830, claimed as a victory by both sides, subsequent smaller battles continued for some years. In place of deciding ownership on this basis, the new land court struggled to make a judgment on the basis of  contradictory claims about ancestry, battles large and small, and occupation.
One part of the larger Aroha block, Ruakaka, was considered separately in 1869, resulting in the court allocating it to Ngati Haua. Also in that year, the first hearing of the Aroha Block was held, at Matamata, with the same outcome. Because of Maratuahu anger and threats of violence, Ngati Haua failed to survey the land as required, and a second hearing was held in Auckland, in 1871, at which Ngati Maru triumphed. Subsequently the block was occupied, but conflicts continued, notably when Ngati Haua gave a Pakeha permission to run cattle at Waiharakeke, further upriver. 
Starting in 1873, James Mackay slowly purchased the interests of individuals claiming ownership of the block, and paid off the Ngati Haua claimants. Then in December 1876, Ngati Tumutumu/Ngati Rahiri claimed the land for themselves, and in the following year the ownership of the Waitoki block, downstream from Te Aroha, was contested. In July 1878, a third hearing of the Aroha case commenced, resulting in Ngati Rahiri being allocated £3,000 and 7,500 acres, the remainder of the block going to Ngati Maru. Subsequently, the process of subdividing the owners’ interests proceeded, very slowly, and a small number of Pakeha settled and commenced farming or storekeeping.

year: 2016