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| 1 | Determining forest structural attributes using an inverted geometric-optical model in mixed eucalypt forests, Southeast Queensland, Australia显示文摘 | Peter Scarth Stuart Phinn | 2000 | Remote Sensing of Environment2000，71，： | 1 |
| 2 | Multi-site evaluation of IKONOS data for classification of tropical coral reef environments显示文摘 | Serge Andréfou?t Philip Kramer Damaris Torres-Pulliza Karen E Joyce Eric J Hochberg Rodrigo Garza-Pérez Peter J Mumby Bernhard Riegl Hiroya Yamano William H White Mayalen Zubia John C Brock Stuart R Phinn Abdulla Naseer Bruce G Hatcher Frank E Muller-Karg | 2003 | Remote Sensing of Environment2003，，1： | 1 |
| 3 | A model to predict land susceptibility to wind erosion in western Queens- land,Australia显示文摘 | Nicholas Webb Hamish McGowan Stuart Phinn | 2009 | Environmental Modelling & Software2009，，24： | 1 |
| 4 | Multi-site evaluation of IKONOS data for classification of tropical coral reef environments显示文摘 | Serge Andréfou?t Philip Kramer Damaris Torres-Pulliza Karen E Joyce Eric J Hochberg Rodrigo Garza-Pérez Peter J Mumby Bernhard Riegl Hiroya Yamano William H White Mayalen Zubia John C Brock Stuart R Phinn Abdulla Naseer Bruce G Hatcher Frank E Muller-Karg | 2003 | Remote Sensing of Environment2003，，1： | 1 |
| 5 | Capability of the Sentinel 2 mission for tropical coral reef mapping and coral bleaching detection显示文摘 | John Hedley Chris Roelfsema Benjamin Koetz Stuart Phinn | 2012 | Remote Sensing of Environment2012，，： | 1 |
| 6 | Modelling tropical cyclone risks for present and future climate change scenarios using geospatial techniques显示文摘Tropical cyclones and their devastating impacts are of great concern to coastal communities globally.An appropriate approach integrating climate change scenarios at local scales is essential for producing detailed risk models to support cyclone mitigation measures.This study developed a simple cyclone risk-modelling approach under present and future climate change scenarios using geospatial techniques at local scales,and tested using a case study in Sarankhola Upazila from coastal Bangladesh.Linear storm-surge models were developed up to 100-year return periods.A local sea level rise scenario of 0.34 m for the year 2050 was integrated with surge models to assess the climate change impact.The resultant storm-surge models were used in the risk-modelling procedures.The developed risk models successfully identified the spatial extent and levels of risk that match with actual extent and levels within an acceptable limit of deviation.The result showed that cyclone risk areas increased with the increase of return period.The study also revealed that climate change scenario intensified the cyclone risk area by 5–10%in every return period.The findings indicate this approach has the potential to model cyclone risk in other similar coastal environments for developing mitigation plans and strategies. | Muhammad Al-Amin Hoque Stuart Phinn Chris Roelfsema Iraphne Childs | 2018 | International Journal of Digital Earth2018，11，3： | 0 |
| 7 | The Australian approach to geospatial capabilities;positioning,earth observation,infrastructure and analytics:issues,trends and perspectives显示文摘This paper examines the current state of three of the key areas of geospatial science in Australia:positioning;earth observation(EO);and spatial infrastructures.The paper discusses the limitations and challenges that will shape the development of these three areas of geospatial science over the next decade and then profiles what each may look like in about 2026.Australia’s national positioning infrastructure plan is guiding the development of a nation-wide,sub decimeter,real-time,outdoor positioning capability based on multi-GNSS and in particular the emerging precise point positioning−real-time kinematic(PPP-RTK)capability.Additional positioning systems including the ground-based Locata system,location-based indoor systems,and beacons,among others are also discussed.The importance of the underpinning role of a next generation dynamic datum is considered.The development of Australia’s first EO strategy is described along with the key national needs of the products of remote sensing.The development of massive on-line multi-decadal geospatial imagery data stores and processing engines for co-registered stacks of continuous base-line satellite imagery are explored.Finally,perspectives on the evolution of a future spatial knowledge infrastructure(SKI)emerging from today’s traditional spatial data infrastructures(SDIs)are provided together with discussion of the growing importance of geospatial analytics for transforming whole supply chains. | Peter Woodgate Isabel Coppa Suelynn Choy Stuart Phinn Lesley Arnold Matt Duckham | 2017 | Geo-Spatial Information Science2017，20，2： | 0 |
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