Heat Vulnerability Index (HVI) including heat exposure, sensitivity, and adaptive capability indicators were created for City of Greater Bendigo.The dataset supports the development of a national heat vulnerability assessment toolkit for Australia, designed to identify areas and populations most susceptible to heat-related risks. The project addresses the growing need for understanding the relationship between urbanization, land surface temperature (LST), and the urban heat island effect, particularly for vulnerable communities. Integrating satellite-derived environmental data (LST, Normalized Difference Built-up Index (NDBI), Normalized Difference Vegetation Index (NDVI)) with socioeconomic data, this toolkit provides a comprehensive resource for building heat-resilient cities and suburbs. This dataset includes both raw environmental data for the 2020-2021 Australian summer (November to March) and a calculated Heat Vulnerability Index (HVI) aggregated to the Australian Bureau of Statistics (ABS) Statistical Area Level 1 (SA1) polygon dataset. The HVI, based on the IPCC's vulnerability conceptual framework, is a composite index comprised of three core components: heat exposure (derived from LST), sensitivity to heat (influenced by socioeconomic factors), and adaptive capability. Each SA1 is assigned a vulnerability rating ranging from 0 to 5, with 0 indicating no population and 5 representing high vulnerability, based on the aggregated indicator scores and quartile distribution. The methodology employs Google Earth Engine (GEE) to derive LST, NDBI, and NDVI. The HVI, along with its components, allows for spatial analysis and facilitates understanding of the complex relationships between heat, environmental factors, and socioeconomic conditions, enabling targeted policy and decision-making at local levels. This work aims to support dynamic and interactive vulnerability assessment, enabling users to update and construct their own indicators and indices for diverse applications. Detailed methodology for HVI generation can be found in this paper. Additional resources are available on the project's GitHub repository, the web application, and the toolkit.

Heat Vulnerability Index (HVI) including heat exposure, sensitivity, and adaptive capability indicators were created for whole Australia.The dataset supports the development of a national heat vulnerability assessment toolkit for Australia, designed to identify areas and populations most susceptible to heat-related risks. The project addresses the growing need for understanding the relationship between urbanization, land surface temperature (LST), and the urban heat island effect, particularly for vulnerable communities. Integrating satellite-derived environmental data (LST, Normalized Difference Built-up Index (NDBI), Normalized Difference Vegetation Index (NDVI)) with socioeconomic data, this toolkit provides a comprehensive resource for building heat-resilient cities and suburbs. This dataset includes both raw environmental data for the 2020-2021 Australian summer (November to March) and a calculated Heat Vulnerability Index (HVI) aggregated to the Australian Bureau of Statistics (ABS) Statistical Area Level 1 (SA1) polygon dataset. The HVI, based on the IPCC's vulnerability conceptual framework, is a composite index comprised of three core components: heat exposure (derived from LST), sensitivity to heat (influenced by socioeconomic factors), and adaptive capability. Each SA1 is assigned a vulnerability rating ranging from 0 to 5, with 0 indicating no population and 5 representing high vulnerability, based on the aggregated indicator scores and quartile distribution. The methodology employs Google Earth Engine (GEE) to derive LST, NDBI, and NDVI. The HVI, along with its components, allows for spatial analysis and facilitates understanding of the complex relationships between heat, environmental factors, and socioeconomic conditions, enabling targeted policy and decision-making at local levels. This work aims to support dynamic and interactive vulnerability assessment, enabling users to update and construct their own indicators and indices for diverse applications. Detailed methodology for HVI generation can be found in this paper. Additional resources are available on the project's GitHub repository, the web application, and the toolkit.

The 2022 Heat Vulnerability Index (HVI) for Greater Sydney aims to combine information on urban heat, built form and population demographics to provide a fine-grained understanding of the spatial distribution of heat vulnerable populations. The Index combines indicators of heat exposure, sensitivity to heat, and adaptive capacity to produce the composite vulnerability index. The 2022 HVI dataset is built upon the methodology established in the creation of the 2016 Sydney HVI dataset (Sun et al 2018), integrating land cover, urban heat, and demographic data, aggregated to Statistical Area Level 1 (SA1) of the Australian Statistical Geography Standard (ASGS) produced by the Australian Bureau of Statistics (ABS). Broad comparisons can be made between the 2022 and 2016 HVI datasets, however there are multiple factors that may limit direct comparability over time. This includes variations in underlying datasets, the relative nature of the HVI, and the change in size of the study area between 2016 and 2022. When undertaking comparison it is recommended to examine the changes in the underlying datasets and the absolute values of the heat exposure, sensitivity and adaptive capacity indicators. This approach helps to explain the variations in HVI and informs effective heat mitigation strategies. The 2022 HVI is most useful at the SA1 scale. It is not recommended to aggregate the HVI dataset to larger scales (i.e. average HVI for a suburb or LGA). Aggregating spatially specific and individual data to geographic areas smooths out local variation, losing locational specificity and population variation. In cases where individual human exposure is of concern, this may either increase or decrease the representation of the actual exposure of a given individual, causing the neighbourhood effect averaging problem (NEAP) (Kwan 2018). Please refer to the methodology report for more information.

Describes heat vulnerability by census tract incorporating exposure and sensitivity indicators.

The NSW Heat Vulnerability Index (HVI) dataset identifies areas to monitor where populations in the Sydney Greater Metropolitan Area are more vulnerable to the adverse effects of urban heat, as of Summer 2015-2016. HVI utilises indicators for exposure, sensitivity and adaptive capacity to calculate an overall heat vulnerability index. Expressed through the data, a vulnerability of 1 represents a combination of low exposure, low sensitivity and/or high adaptive capacity. A vulnerability of 5 represents high exposure, high sensitivity and/or low adaptive capacity. The calculation of HVI and the inputs to the exposure, sensitivity and adaptive capacity indicators are explained in the metadata. The HVI data is aggregated to the Australian Bureau of Statistics (ABS) Statistical Area Level 1 (SA1) polygon dataset to enable spatial analysis to support local policy and decision making. It can be used in conjunction with the NSW urban vegetation cover dataset for the same time period for broader analysis of the relationship of heat to green cover.

This dataset provides a composite measure of heat vulnerability for Culturally and Linguistically Diverse (CALD) populations in Australia, integrating three key indicators: heat exposure, heat sensibility, and heat adaptive capability. Derived from social and environmental variables in CALD-specific AURIN datasets, it provides data for 2001, 2011, 2016, and 2021, utilising the 2021 SA1 boundaries to enable retrospective comparison. This framework allows for the assessment of heat vulnerability trends across diverse neighbourhoods, supporting targeted strategies for mitigating heat-related risks and fostering resilience and equity in urban environments. Effective Use Case Descriptions: Heat Vulnerability Assessment and Planning: Urban planners and environmental agencies can use the Integrated Heat Vulnerability Index to identify and prioritise CALD and non-CALD neighbourhoods most at risk from heat-related impacts. By analysing the index, they can develop targeted heat mitigation strategies such as enhancing green spaces, improving building insulation, or increasing access to cooling centres. This data-driven approach ensures resources are allocated effectively to areas with the highest vulnerability. Public Health Interventions: Public health officials can utilise the heat vulnerability index to assess the risk of heat-related health issues in different neighbourhoods. By integrating indicators of heat exposure, sensibility, and adaptive capability, health agencies can design and implement targeted outreach programs, heat-health warnings, and community support initiatives to protect vulnerable populations during extreme heat events. Climate Adaptation Strategies: Climate resilience experts can apply the index to evaluate the effectiveness of past and current climate adaptation measures. By comparing heat vulnerability trends over time, they can identify gaps in adaptive capacity and recommend improvements to climate resilience strategies. This helps ensure that adaptation efforts are addressing the needs of the most affected communities. Policy Development and Advocacy: Policymakers and advocacy groups can leverage the data to support evidence-based policy development and advocate for climate justice. The index provides a clear picture of how heat vulnerability varies across neighbourhoods, allowing for the formulation of policies that address inequities and promote inclusive urban planning. It can also be used to justify funding for heat mitigation and adaptation projects in vulnerable areas. Community Engagement and Education: Community organisations can use the heat vulnerability index to raise awareness about heat risks and promote community-driven solutions. By sharing insights on heat exposure and adaptive capabilities, these organisations can empower residents to participate in local heat resilience initiatives and advocate for improvements in their neighbourhoods. Research and Academic Studies: Researchers can use the index to study the relationship between heat vulnerability and various socio-environmental factors. The longitudinal data enables analyses of how changes in urban development, demographic shifts, and climate change impact heat vulnerability over time, contributing to the broader understanding of environmental justice and urban resilience.

This dataset provides a composite measure of heat vulnerability for Culturally and Linguistically Diverse (CALD) populations in Australia, integrating three key indicators: heat exposure, heat sensibility, and heat adaptive capability. Derived from social and environmental variables in CALD-specific AURIN datasets, it provides data for 2001, 2011, 2016, and 2021, utilising the 2021 SA1 boundaries to enable retrospective comparison. This framework allows for the assessment of heat vulnerability trends across diverse neighbourhoods, supporting targeted strategies for mitigating heat-related risks and fostering resilience and equity in urban environments. Effective Use Case Descriptions: Heat Vulnerability Assessment and Planning: Urban planners and environmental agencies can use the Integrated Heat Vulnerability Index to identify and prioritise CALD and non-CALD neighbourhoods most at risk from heat-related impacts. By analysing the index, they can develop targeted heat mitigation strategies such as enhancing green spaces, improving building insulation, or increasing access to cooling centres. This data-driven approach ensures resources are allocated effectively to areas with the highest vulnerability. Public Health Interventions: Public health officials can utilise the heat vulnerability index to assess the risk of heat-related health issues in different neighbourhoods. By integrating indicators of heat exposure, sensibility, and adaptive capability, health agencies can design and implement targeted outreach programs, heat-health warnings, and community support initiatives to protect vulnerable populations during extreme heat events. Climate Adaptation Strategies: Climate resilience experts can apply the index to evaluate the effectiveness of past and current climate adaptation measures. By comparing heat vulnerability trends over time, they can identify gaps in adaptive capacity and recommend improvements to climate resilience strategies. This helps ensure that adaptation efforts are addressing the needs of the most affected communities. Policy Development and Advocacy: Policymakers and advocacy groups can leverage the data to support evidence-based policy development and advocate for climate justice. The index provides a clear picture of how heat vulnerability varies across neighbourhoods, allowing for the formulation of policies that address inequities and promote inclusive urban planning. It can also be used to justify funding for heat mitigation and adaptation projects in vulnerable areas. Community Engagement and Education: Community organisations can use the heat vulnerability index to raise awareness about heat risks and promote community-driven solutions. By sharing insights on heat exposure and adaptive capabilities, these organisations can empower residents to participate in local heat resilience initiatives and advocate for improvements in their neighbourhoods. Research and Academic Studies: Researchers can use the index to study the relationship between heat vulnerability and various socio-environmental factors. The longitudinal data enables analyses of how changes in urban development, demographic shifts, and climate change impact heat vulnerability over time, contributing to the broader understanding of environmental justice and urban resilience.

This dataset provides a composite measure of heat vulnerability for Culturally and Linguistically Diverse (CALD) populations in Australia, integrating three key indicators: heat exposure, heat sensibility, and heat adaptive capability. Derived from social and environmental variables in CALD-specific AURIN datasets, it provides data for 2001, 2011, 2016, and 2021, utilising the 2021 SA1 boundaries to enable retrospective comparison. This framework allows for the assessment of heat vulnerability trends across diverse neighbourhoods, supporting targeted strategies for mitigating heat-related risks and fostering resilience and equity in urban environments. Effective Use Case Descriptions: Heat Vulnerability Assessment and Planning: Urban planners and environmental agencies can use the Integrated Heat Vulnerability Index to identify and prioritise CALD and non-CALD neighbourhoods most at risk from heat-related impacts. By analysing the index, they can develop targeted heat mitigation strategies such as enhancing green spaces, improving building insulation, or increasing access to cooling centres. This data-driven approach ensures resources are allocated effectively to areas with the highest vulnerability. Public Health Interventions: Public health officials can utilise the heat vulnerability index to assess the risk of heat-related health issues in different neighbourhoods. By integrating indicators of heat exposure, sensibility, and adaptive capability, health agencies can design and implement targeted outreach programs, heat-health warnings, and community support initiatives to protect vulnerable populations during extreme heat events. Climate Adaptation Strategies: Climate resilience experts can apply the index to evaluate the effectiveness of past and current climate adaptation measures. By comparing heat vulnerability trends over time, they can identify gaps in adaptive capacity and recommend improvements to climate resilience strategies. This helps ensure that adaptation efforts are addressing the needs of the most affected communities. Policy Development and Advocacy: Policymakers and advocacy groups can leverage the data to support evidence-based policy development and advocate for climate justice. The index provides a clear picture of how heat vulnerability varies across neighbourhoods, allowing for the formulation of policies that address inequities and promote inclusive urban planning. It can also be used to justify funding for heat mitigation and adaptation projects in vulnerable areas. Community Engagement and Education: Community organisations can use the heat vulnerability index to raise awareness about heat risks and promote community-driven solutions. By sharing insights on heat exposure and adaptive capabilities, these organisations can empower residents to participate in local heat resilience initiatives and advocate for improvements in their neighbourhoods. Research and Academic Studies: Researchers can use the index to study the relationship between heat vulnerability and various socio-environmental factors. The longitudinal data enables analyses of how changes in urban development, demographic shifts, and climate change impact heat vulnerability over time, contributing to the broader understanding of environmental justice and urban resilience.