Simon David Jones

MLS-CAPS: Optimising Path Spacing for Mobile Laser Scanning of Vegetation Structure via Completeness Analysis

Johann Tiede, Karin J Reinke, Nguyễn Huy Trung, Simon David Jones

This study presents a data-driven approach, MLS-CAPS (mobile laser scanning completeness analysis for path spacing), for defining optimal path spacing (walking path) for backpack or handheld MLS surveys in ecological applications. By using an initial high-density pilot scan of the site, captured …

au (code pays fourni par la source)

Reliability Conditions for Interpreting Daily NASA Black Marble Nighttime Lights in Cloud-Impacted Tropical Regions

Rene L. Jr. Principe, Karin J Reinke, Simon David Jones

Processed data, analysis outputs, reproducible code, notebooks, and Google Earth Engine scripts supporting the manuscript Reliability Conditions for Interpreting Daily NASA Black Marble Nighttime Lights in Cloud-Impacted Tropical Regions. The archive includes observability metrics, settlement-stratified radiance summaries, NTL–electricity load alignment outputs, configuration …

au (code pays fourni par la source)

Reliability Conditions for Interpreting Daily NASA Black Marble Nighttime Lights in Cloud-Impacted Tropical Regions

Rene L. Jr. Principe, Karin J Reinke, Simon David Jones

Processed data, analysis outputs, reproducible code, notebooks, and Google Earth Engine scripts supporting the manuscript Reliability Conditions for Interpreting Daily NASA Black Marble Nighttime Lights in Cloud-Impacted Tropical Regions. The archive includes observability metrics, settlement-stratified radiance summaries, NTL–electricity load alignment outputs, configuration …

au (code pays fourni par la source)

What is the role of formulation in contemporary mental health practice?

Alex Holmes, Simon David Jones, Tamara Yuen, Beatrice Huang et autres

ObjectiveThis paper reviews the role of formulation in contemporary mental health practice. It traces the historical and conceptual development of formulation to its current use across multiple therapeutic models. Formulation is presented as an essential integrative clinical skill that supports patient-centred care, …

au (code pays fourni par la source)

Reconstructing savannah wildfire events using a deep learning framework

Simon Ramsey, Karin J Reinke, Simon David Jones

This research presents a method to produce fire reconstructions with a high spatial and temporal resolution by downscaling geostationary satellite observations using a deep learning segmentation framework. This was achieved by training a U-Net on low earth orbit active fire detections paired …

au (code pays fourni par la source)

Composite Wildfire Impact (CWI) rating: Integrating fire intensity and burn severity earth observations

Konstantinos Chatzopoulos-Vouzoglanis, Karin J Reinke, Mariela Soto‐Berelov, Simon David Jones

Current wildfire impact assessments at the landscape scale often overlook the complexity of active fire behaviour, focusing only on pre- and post-fire spectral differencing, despite remotely sensed active fire data being readily available. This study integrates high temporal resolution active fire intensity …

au (code pays fourni par la source)

Optimising Background Temperatures for Fire Detection: A Weight Function Framework for Multi-Sensor Data Fusion

Nur Fajar Trihantoro, Simon David Jones, Karin J Reinke

We propose a novel weight-function approach for multi-sensor Brightness Temperature (BT) data fusion to estimate background temperature for fire detection. The study merges data from the Advanced Himawari Imager (AHI) onboard Himawari-8, the Advanced Meteorological Imager (AMI) onboard GeoKompsat-2A, and the Sea …

au (code pays fourni par la source)

Explaining machine learning models trained to predict Copernicus DEM errors in different land cover environments

Michael Meadows, Karin J Reinke, Simon David Jones

Machine learning models are increasingly used to correct the vertical biases (mainly due to vegetation and buildings) in global Digital Elevation Models (DEMs), for downstream applications which need “bare earth” elevations. The predictive accuracy of these models has improved significantly as more …

gb, au (code pays fourni par la source)

Mapping Young Lava Rises (Stony Rises) Across an Entire Basalt Flow Using Remote Sensing and Machine Learning

Shaye Fraser, Mariela Soto‐Berelov, Lucas Holden, John A. Webb et autres

Lava rises, locally known as stony rises, are Pliocene–Holocene volcanic landforms occurring throughout the Victorian Volcanic Plain (VVP) in Victoria, Australia. Stony rises are not only important to understanding the geological history of Victoria but are culturally significant to Aboriginal Australians and …

au (code pays fourni par la source)

Investigating the spatial associations between Registered Aboriginal Places, stony rises and natural features: A case study in Australia

Shaye Fraser, Mariela Soto‐Berelov, Lucas Holden, Simon David Jones

Oral histories and artefact deposits attest to the cultural significance of the stony rises of the Victorian Volcanic Plain. Currently, stony rises are under threat from staged land development in metropolitan areas, putting Aboriginal cultural heritage at risk of being lost. Using …

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Bimaxillary osteotomies as a less than 24-hour stay procedure

Laurie A Davies, Simon David Jones, Divya Ramkumar

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An exploratory analysis of forest fine fuel consumption and accumulation using forest inventory data and fire history

Nguyễn Huy Trung, Simon David Jones, Karin J Reinke, Mariela Soto‐Berelov

Background Estimating changes in fine fuel loads (FFL) is essential for carbon monitoring and fire management. Field measurements of post-fire fuel response are challenging, leading to reliance on generalised fuel types in operational models. Aims This study presents a proof-of-concept for estimating …

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