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State of the paddock: monitoring condition and trend in ground cover across Queensland

Peter Scarth
2013 Figshare  
Since three quarters ofQueenslandhas a woody foliage cover of less than 20%, methods of monitoring the extent of groundcover (or conversely, bare ground) are required.  ...  By building on the world-class Statewide Landcover and Trees Study (SLATS) archive of more than 1500 Landsat TM and ETM scenes covering the state with annual coverage or better from 1987, this project  ...  Acknowledgements The authors would like to thank the entire SLATS project team who have all contributed to data collection and processing of imagery used in this work.  ... 
doi:10.6084/m9.figshare.94248.v1 fatcat:kfq57552ffauvavkbbia2mnpgi

Large-Area, High-Resolution Tree Cover Mapping with Multi-Temporal SPOT5 Imagery, New South Wales, Australia

Adrian Fisher, Michael Day, Tony Gill, Adam Roff, Tim Danaher, Neil Flood
2016 Remote Sensing  
After pre-processing, the imagery was used to model foliage projective cover (FPC), a measure of tree canopy density commonly used in Australia.  ...  The multi-temporal imagery, FPC models and 26,579 training pixels were used in a binomial logistic regression model to estimate the probability of each pixel containing trees.  ...  The locations of the examples shown in Figure 7 are labelled (A-D). Figure 6 . 6 The final 5 m foliage projective cover (FPC) map for New South Wales, Australia.  ... 
doi:10.3390/rs8060515 fatcat:a7bfny4iyjgsdj4ryxq3lioqlq

Integration of radar and Landsat-derived foliage projected cover for woody regrowth mapping, Queensland, Australia

Richard M. Lucas, Natasha Cronin, Mahta Moghaddam, Alex Lee, John Armston, Peter Bunting, Christian Witte
2006 Remote Sensing of Environment  
In Queensland, Australia, forest areas are discriminated from non-forest by applying a threshold (¨12%) to Landsat-derived Foliage Projected Cover (FPC) layers (equating to¨20% canopy cover), which are  ...  Using fully polarimetric C-, L-and P-band NASA AIRSAR and Landsat FPC data for forests and agricultural land near Injune, central Queensland, we corroborate that woody regrowth dominated by Brigalow (Acacia  ...  Acknowledgements The authors thank the Australian Research Council (ARC) under their SPIRT Program (for a grant to the University of New South Wales), the Queensland Department of Natural Resources and  ... 
doi:10.1016/j.rse.2005.09.020 fatcat:6sjs7j5vyvdyjkxbojyosmheyy

Site-based and remote sensing methods for monitoring indicators of vegetation condition: An Australian review

V. Lawley, M. Lewis, K. Clarke, B. Ostendorf
2016 Ecological Indicators  
integrate the two approaches for mapping and monitoring vegetation condition across a range of scales.  ...  more readily detectable using remote sensing methods, including their application in operational programmes within Australia.  ...  QLD Landsat NSW Woody Vegetation Monitoring Programme (based on Qld. SLATS) Office of Environment & Heritage Woody extent and overstorey foliage projective cover.  ... 
doi:10.1016/j.ecolind.2015.03.021 fatcat:l5nf6pxkv5cklogawkfbm4gnsq

On the relationship between crown cover, foliage projective cover and leaf area index

Peter Scarth
2012 Figshare  
A comprehensive field data set collected in forests and woodlands across Queensland is used to demonstrate the validity of the models.  ...  In this study we derive simple expressions relating mature forest crown cover (CC), foliage projective cover (FPC) and leaf area index (LAI) using canopy gap fraction and canopy clumping theory.  ...  Acknowledgments The authors would like to thank Rob Hassett and Sel Counter for their assistance in planning and executing the field data collection for this project.  ... 
doi:10.6084/m9.figshare.94249.v1 fatcat:dhwn5fio25eipm5jauftbtn5z4

IMPACT OF DIFFERENT TOPOGRAPHIC CORRECTIONS ON PREDICTION ACCURACY OF FOLIAGE PROJECTIVE COVER (FPC) IN A TOPOGRAPHICALLY COMPLEX TERRAIN

S. Ediriweera, S. Pathirana, T. Danaher, D. Nichols, T. Moffiet
2012 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Quantitative retrieval of land surface biological parameters (e.g. foliage projective cover [FPC] and Leaf Area Index) is crucial for forest management, ecosystem modelling, and global change monitoring  ...  The purpose of this study is to assess the impact of topographic corrections on the prediction of FPC in hilly terrain using an established regression model.  ...  Field data The methodology developed by the Queensland Remote Sensing Centre (QRSC) for ground cover measurement (Armston et al., 2009 ) was used to estimate field foliage projective cover.  ... 
doi:10.5194/isprsannals-i-7-123-2012 fatcat:ssffqmlg6bb3nnjod5ta2u3dey

How does the global Moderate Resolution Imaging Spectroradiometer (MODIS) Fraction of Photosynthetically Active Radiation (FPAR) product relate to regionally developed land cover and vegetation products in a semi-arid Australian savanna?

Birte Schoettker
2010 Journal of Applied Remote Sensing  
We then compared dry-seasonal, quality controlled MODIS FPAR observations to (i) Landsat-based woody foliage projective cover (wFPC) ( 2004 ) and (ii) MODIS bare ground index (BGI) observations (2001)(  ...  Spatio-temporally variable information on total vegetation cover is highly relevant to water quality and land management in river catchments adjacent to the Great Barrier Reef, Australia.  ...  Acknowledgments This study is funded through a University of Queensland Research Scholarship and additionally supported by CSIRO Land and Water, Canberra, in particular Dr Arnold Dekker.  ... 
doi:10.1117/1.3463721 fatcat:hsmupuleebevzd6ng3gnmnglzu

Evaluation of Different Topographic Corrections for Landsat TM Data by Prediction of Foliage Projective Cover (FPC) in Topographically Complex Landscapes

Sisira Ediriweera, Sumith Pathirana, Tim Danaher, Doland Nichols, Trevor Moffiet
2013 Remote Sensing  
(PSSSR) on the Landsat-5 Thematic Mapper (TM) reflectance in the context of prediction of Foliage Projective Cover (FPC) in hilly landscapes in north-eastern Australia.  ...  The reflected radiance in topographically complex areas is severely affected by variations in topography; thus, topographic correction is considered a necessary pre-processing step when retrieving biophysical  ...  Acknowledgments The authors wish to acknowledge NSW Land and Property Information for LiDAR data and The Queensland Remote Sensing Centre for providing the facility to process Landsat data.  ... 
doi:10.3390/rs5126767 fatcat:i2tvlpii5fbjrey6i2a5vgmura

Preparing Landsat Image Time Series (LITS) for Monitoring Changes in Vegetation Phenology in Queensland, Australia

Santosh Bhandari, Stuart Phinn, Tony Gill
2012 Remote Sensing  
in Queensland, Australia.  ...  In comparison to similar published work, this paper tested the STARFM algorithm in a new (broadleaf) forest environment and also demonstrated that the approach can be used to form a time series of Landsat  ...  Acknowledgements This work is part of a PhD project funded by AusAID, Australian Government, Canberra.  ... 
doi:10.3390/rs4061856 fatcat:f46gwnngwnhubg4klnnywfqd44

Decomposition of vegetation cover into woody and herbaceous components using AVHRR NDVI time series

H Lu
2003 Remote Sensing of Environment  
We thank Tim Danaher at the Queensland Department of Natural Resources for making the FPC and SLATS data available for us. Data used by the authors in this study includes that produced  ...  Mapped Estimates of Foliage Projection Cover: FPC was mapped by the Statewide Landcover and Trees Study (SLATS) project (Kuhnell et al., 1998) using 88 LANDSAT TM scenes (30 metre spatial resolution)  ...  Ten scenes covering an area of 209,310 km 2 8 in the north-eastern Queensland were acquired from the SLATS project team and used for comparison in this study.  ... 
doi:10.1016/s0034-4257(03)00054-3 fatcat:k4tieb75sbcqxat65iwundsyxq

Forest Clearing with SPOT-5 [article]

Neil Flood, Tim Danaher, Tony Gill, Peter Scarth
2020 figshare.com  
The index has been trained using data in eastern Australia, but would probably be of use in other parts of Australia.  ...  The government of the Australian state of New South Wales (NSW) has a program to monitor the clearing of trees across the whole state, using remotely sensed imagery, originally based around Landsat.  ...  The edited clearing images used for training and validation were created by a dedicated team of operators within the NSW Office of Environment and Heritage, and this work would not have been possible without  ... 
doi:10.6084/m9.figshare.12980897.v1 fatcat:ozkdw2wwpvbx3golc54hwdqwsy

HIGH TEMPORAL FREQUENCY BIOPHYSICAL AND STRUCTURAL VEGETATION INFORMATION FROM MULTIPLE REMOTE SENSING SENSORS CAN SUPPORT MODELLING OF EVENT BASED HILLSLOPE EROSION IN QUEENSLAND

B. Schoettker, R. Searle, M. Schmidt, S. Phinn
2012 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
six vegetation structural categories identified from a Landsat Thematic Mapper 5 (TM) and Enhanced Thematic Mapper 7 (ETM+) woody foliage projective cover product representing floristically and structurally  ...  a tropical, semi-arid catchment in Queensland.  ...  A regionally developed Landsat TM and ETM+ overstorey's woody extent product (woody Foliage projective cover (wFPC)) from Queensland Department of Environment and Resource Management (QDERM) had been used  ... 
doi:10.5194/isprsarchives-xxxix-b8-507-2012 fatcat:ggh7bapzeze7xlvfhhvb2fbxp4

Integration of Optical and X-Band Radar Data for Pasture Biomass Estimation in an Open Savannah Woodland

Michael Schmidt, John Carter, Grant Stone, Peter O'Reagain
2016 Remote Sensing  
High quality paddock-scale field data from a northeastern Australian cattle grazing trial were used to establish a statistical TSDM model by integrating optical satellite image data from the Landsat sensor  ...  A clear improvement in the model performance could be demonstrated when integrating HH polarised TSX imagery with optical satellite image products.  ...  Thanks to Meat and Livestock Australia and the Lyons family for supporting Wambiana station.  ... 
doi:10.3390/rs8120989 fatcat:4ywwr6h45bhprg52ljcch6ev5a

Mapping the multi-decadal mangrove dynamics of the Australian coastline

Leo Lymburner, Peter Bunting, Richard Lucas, Peter Scarth, Imam Alam, Claire Phillips, Catherine Ticehurst, Alex Held
2019 Remote Sensing of Environment  
The resulting annual maps of mangrove extent and cover for Australia are the first to be generated at a continental scale and on an annual basis.  ...  The percentage Planimetric Canopy Cover (PCC%) for each Landsat pixel was then estimated using a relationship between GVpc10 and LiDAR-derived PCC% (< 1 m resolution and based on acquisitions from all  ...  Jorg Hacker (Airborne Research Australia), Nicolas Goodwin (Queensland Department of Environment and Resource Management) and Adrian Fisher (University of Queensland) are also thanked for providing additional  ... 
doi:10.1016/j.rse.2019.05.004 fatcat:jdqajnvkojhfzpdwe354cvsbw4

Quantifying Forest Biomass Carbon Stocks From Space

Pedro Rodríguez-Veiga, James Wheeler, Valentin Louis, Kevin Tansey, Heiko Balzter
2017 Current Forestry Reports  
Summary These approaches face several challenges: lack of ground data for calibration/validation purposes, signal saturation in high AGB, coverage of the sensor, cloud cover persistence or complex signal  ...  The main challenge of monitoring AGB lies in the difficulty of obtaining field measurements and allometric models in several parts of the world due to geographical remoteness, lack of capacity, data paucity  ...  Regression methods have also been applied at this level with moderate resolution imagery in Colombia [108] and Queensland (Australia) [80] .  ... 
doi:10.1007/s40725-017-0052-5 fatcat:3igema6jp5gg7p6n4s336kavfa
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