Stuart Phinn
Biographic Data
| ID | 1413700 |
|---|---|
| NAME | Stuart Phinn |
| GIVEN NAMES | Stuart |
| FAMILY NAME | Phinn |
| SIGNATURE | PHINN S |
| AFFILIATIONS | The University of Queensland |
| ORCID | 0000-0002-2605-6104 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 23 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1992 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Integrating artificial neural network-cellular automata and bayesian weight of evidence for spatiotemporal analysis of urban change in Brisbane City
Urbanisation is a global phenomenon, with major cities worldwide undergoing rapid transformation driven by economic and population growth. However, the urbanisation process in Brisbane City remains comparatively underexplored relative to other Australian metropolitan areas. This study presents a novel integrated framework that combines Google Earth Engine (GEE), Bayesian weight of evidence (WofE), and Artificial Neural Network–Cellular Automata (…
Two Decades of Land-Use Dynamics in an Urbanizing Tropical Watershed
Java’s Brantas River Basin (BRB) is an increasingly urbanized tropical watershed with significant economic and ecological importance; yet knowledge of its land-use changes dynamics and drivers as well as their importance have barely been explored. This is the case for many other tropical watersheds in Java, Indonesia and beyond. This study of the BRB (1) quantifies the land-use changes in the period 1995–2015, (2) determines the patterns of land-…
Evaluating Variable Selection and Machine Learning Algorithms for Estimating Forest Heights by Combining Lidar and Hyperspectral Data
Machine learning has been employed for various mapping and modeling tasks using input variables from different sources of remote sensing data. For feature selection involving high- spatial and spectral dimensionality data, various methods have been developed and incorporated into the machine learning framework to ensure an efficient and optimal computational process. This research aims to assess the accuracy of various feature selection and machi…
Conservation opportunities on uncontested lands
Winners and losers as mangrove, coral and seagrass ecosystems respond to sea-level rise in Solomon Islands
A 2007 earthquake in the western Solomon Islands resulted in a localised subsidence event in which sea level (relative to the previous coastal settings) rose approximately 30–70 cm, providing insight into impacts of future rapid changes to sea level on coastal ecosystems. Here, we show that increasing sea level by 30–70 cm can have contrasting impacts on mangrove, seagrass and coral reef ecosystems. Coral reef habitats were the clear winners with…
The governance of private residential land in cities and spatial effects on tree cover
Using Redd+ to balance timber production with conservation objectives in a mangrove forest in Malaysia
Maps, laws and planning policy
Rapid sea level rise over the 21st century threatens coastal settlements and populations worldwide. Significant land-use policy reform will be needed to mitigate exposure to hazards in the coastal zone. Sea-level rise maps that indicate areas that are potentially prone to future inundation are a valuable tool for policymakers and decision makers. However, errors, assumptions, and uncertainties inherent in spatial data are not often explicitly rec…
Interactive online tools for enhancing student learning experiences in remote sensing
The rapid growth in Information and Communications Technologies usage in higher education has provided immense opportunities to foster effective student learning experiences in geography. In particular, remote sensing lends itself to the creative utilization of multimedia technologies. This paper presents a case study of a remote sensing computer aided learning (RSCAL) program, which was developed in Australia to facilitate student active engagem…
Assessment of Relationships Between Precipitation and Satellite Derived Vegetation Condition Within South Australia
The normalised difference vegetation index (NDVI) has evolved as a primary tool for monitoring continental‐scale vegetation changes and interpreting the impact of short to long‐term climatic events on the biosphere. The objective of this research was to assess the nature of relationships between precipitation and vegetation condition, as measured by the satellite‐derived NDVI within South Australia. The correlation, timing and magnitude of the ND…
Monitoring Land‐Cover and Land‐Use Change in a Rapidly Urbanising Coastal Environment
Effective catchment monitoring requires an integrative approach for selecting remotely sensed data to monitor land‐cover change. Catchment analyses and monitoring requirements in the Maroochy and Mooloolah River Catchments (south‐east Queensland) were addressed by linking government and community information needs to appropriate scales of remotely sensed data and processing routines. A hybrid image classification approach applied to Landsat Thema…
A Generic Framework for Criterion-referenced Assessment of Undergraduate Essays
This paper presents a brief review of the relative merits of norm-referenced and criterion-referenced assessment of undergraduate students' written work. Acknowledging that there are both positive and negative aspects of criterion referencing, a generic framework for such assessment of undergraduate essays is presented. It comprises criteria and standards (organised by 'dimensions of achievement', i.e. content, process, affect and skills), profic…
Revegetated Sand Mining Areas, Swamp Wallabies and Remote Sensing
Mining of mineral sands has taken place on North Stradbroke Island for over 40 years. Revegetation of mined areas creates a mosaic of seral classes. For a mine site in the northwest of the island, Landsat Thematic Mapper data were used successfully to map the distribution of seven seral classes resulting from mining rehabilitation. Faecal pellet counts were used to assess usage of these areas and surrounding natural forest by swamp wallabies, Wal…
Synoptic weather patterns and wave conditions, Surfers Paradise Beach, south‐eastern Queensland, 1988
Wave conditions experienced along the beaches of south‐eastern Australia are controlled by winds generated by synoptic scale weather systems over the Tasman and Coral Seas. A synoptic climatological approach provides a framework to establish relationships between these synoptic weather map patterns and daily wave conditions recorded at Surfers Paradise beach. This establishes frequently recurring synoptic weather map patterns (synoptic types) and…
Maps, laws and planning policy
Rapid sea level rise over the 21st century threatens coastal settlements and populations worldwide. Significant land-use policy reform will be needed to mitigate exposure to hazards in the coastal zone. Sea-level rise maps that indicate areas that are potentially prone to future inundation are a valuable tool for policymakers and decision makers. However, errors, assumptions, and uncertainties inherent in spatial data are not often explicitly rec…
The governance of private residential land in cities and spatial effects on tree cover
Conservation opportunities on uncontested lands
A Generic Framework for Criterion-referenced Assessment of Undergraduate Essays
This paper presents a brief review of the relative merits of norm-referenced and criterion-referenced assessment of undergraduate students' written work. Acknowledging that there are both positive and negative aspects of criterion referencing, a generic framework for such assessment of undergraduate essays is presented. It comprises criteria and standards (organised by 'dimensions of achievement', i.e. content, process, affect and skills), profic…
Revegetated Sand Mining Areas, Swamp Wallabies and Remote Sensing
Mining of mineral sands has taken place on North Stradbroke Island for over 40 years. Revegetation of mined areas creates a mosaic of seral classes. For a mine site in the northwest of the island, Landsat Thematic Mapper data were used successfully to map the distribution of seven seral classes resulting from mining rehabilitation. Faecal pellet counts were used to assess usage of these areas and surrounding natural forest by swamp wallabies, Wal…
Interactive online tools for enhancing student learning experiences in remote sensing
The rapid growth in Information and Communications Technologies usage in higher education has provided immense opportunities to foster effective student learning experiences in geography. In particular, remote sensing lends itself to the creative utilization of multimedia technologies. This paper presents a case study of a remote sensing computer aided learning (RSCAL) program, which was developed in Australia to facilitate student active engagem…
Synoptic weather patterns and wave conditions, Surfers Paradise Beach, south‐eastern Queensland, 1988
Wave conditions experienced along the beaches of south‐eastern Australia are controlled by winds generated by synoptic scale weather systems over the Tasman and Coral Seas. A synoptic climatological approach provides a framework to establish relationships between these synoptic weather map patterns and daily wave conditions recorded at Surfers Paradise beach. This establishes frequently recurring synoptic weather map patterns (synoptic types) and…
Synoptic weather patterns and wave conditions, Surfers Paradise Beach, south‐eastern Queensland, 1988
Wave conditions experienced along the beaches of south‐eastern Australia are controlled by winds generated by synoptic scale weather systems over the Tasman and Coral Seas. A synoptic climatological approach provides a framework to establish relationships between these synoptic weather map patterns and daily wave conditions recorded at Surfers Paradise beach. This establishes frequently recurring synoptic weather map patterns (synoptic types) and…
Revegetated Sand Mining Areas, Swamp Wallabies and Remote Sensing
Mining of mineral sands has taken place on North Stradbroke Island for over 40 years. Revegetation of mined areas creates a mosaic of seral classes. For a mine site in the northwest of the island, Landsat Thematic Mapper data were used successfully to map the distribution of seven seral classes resulting from mining rehabilitation. Faecal pellet counts were used to assess usage of these areas and surrounding natural forest by swamp wallabies, Wal…
A Generic Framework for Criterion-referenced Assessment of Undergraduate Essays
This paper presents a brief review of the relative merits of norm-referenced and criterion-referenced assessment of undergraduate students' written work. Acknowledging that there are both positive and negative aspects of criterion referencing, a generic framework for such assessment of undergraduate essays is presented. It comprises criteria and standards (organised by 'dimensions of achievement', i.e. content, process, affect and skills), profic…
Monitoring Land‐Cover and Land‐Use Change in a Rapidly Urbanising Coastal Environment
Effective catchment monitoring requires an integrative approach for selecting remotely sensed data to monitor land‐cover change. Catchment analyses and monitoring requirements in the Maroochy and Mooloolah River Catchments (south‐east Queensland) were addressed by linking government and community information needs to appropriate scales of remotely sensed data and processing routines. A hybrid image classification approach applied to Landsat Thema…
Assessment of Relationships Between Precipitation and Satellite Derived Vegetation Condition Within South Australia
The normalised difference vegetation index (NDVI) has evolved as a primary tool for monitoring continental‐scale vegetation changes and interpreting the impact of short to long‐term climatic events on the biosphere. The objective of this research was to assess the nature of relationships between precipitation and vegetation condition, as measured by the satellite‐derived NDVI within South Australia. The correlation, timing and magnitude of the ND…
Maps, laws and planning policy
Rapid sea level rise over the 21st century threatens coastal settlements and populations worldwide. Significant land-use policy reform will be needed to mitigate exposure to hazards in the coastal zone. Sea-level rise maps that indicate areas that are potentially prone to future inundation are a valuable tool for policymakers and decision makers. However, errors, assumptions, and uncertainties inherent in spatial data are not often explicitly rec…
Interactive online tools for enhancing student learning experiences in remote sensing
The rapid growth in Information and Communications Technologies usage in higher education has provided immense opportunities to foster effective student learning experiences in geography. In particular, remote sensing lends itself to the creative utilization of multimedia technologies. This paper presents a case study of a remote sensing computer aided learning (RSCAL) program, which was developed in Australia to facilitate student active engagem…
Using Redd+ to balance timber production with conservation objectives in a mangrove forest in Malaysia
The governance of private residential land in cities and spatial effects on tree cover
Winners and losers as mangrove, coral and seagrass ecosystems respond to sea-level rise in Solomon Islands
A 2007 earthquake in the western Solomon Islands resulted in a localised subsidence event in which sea level (relative to the previous coastal settings) rose approximately 30–70 cm, providing insight into impacts of future rapid changes to sea level on coastal ecosystems. Here, we show that increasing sea level by 30–70 cm can have contrasting impacts on mangrove, seagrass and coral reef ecosystems. Coral reef habitats were the clear winners with…
Conservation opportunities on uncontested lands
Evaluating Variable Selection and Machine Learning Algorithms for Estimating Forest Heights by Combining Lidar and Hyperspectral Data
Machine learning has been employed for various mapping and modeling tasks using input variables from different sources of remote sensing data. For feature selection involving high- spatial and spectral dimensionality data, various methods have been developed and incorporated into the machine learning framework to ensure an efficient and optimal computational process. This research aims to assess the accuracy of various feature selection and machi…
Two Decades of Land-Use Dynamics in an Urbanizing Tropical Watershed
Java’s Brantas River Basin (BRB) is an increasingly urbanized tropical watershed with significant economic and ecological importance; yet knowledge of its land-use changes dynamics and drivers as well as their importance have barely been explored. This is the case for many other tropical watersheds in Java, Indonesia and beyond. This study of the BRB (1) quantifies the land-use changes in the period 1995–2015, (2) determines the patterns of land-…
Integrating artificial neural network-cellular automata and bayesian weight of evidence for spatiotemporal analysis of urban change in Brisbane City
Urbanisation is a global phenomenon, with major cities worldwide undergoing rapid transformation driven by economic and population growth. However, the urbanisation process in Brisbane City remains comparatively underexplored relative to other Australian metropolitan areas. This study presents a novel integrated framework that combines Google Earth Engine (GEE), Bayesian weight of evidence (WofE), and Artificial Neural Network–Cellular Automata (…
Geography (12 works) · Ecology (7 works) · Environmental Science (6 works) · Computer Science (5 works) · Environmental resource management (5 works) · Geology (5 works) · Land Use and Ecosystem Services (5 works) · Geology (4 works) · Land use (4 works) · Remote sensing (4 works)