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Karin Reinke
Karin Reinke
Verified email at rmit.edu.au
Title
Cited by
Cited by
Year
Non‐destructive estimation of above‐ground surface and near‐surface biomass using 3D terrestrial remote sensing techniques
L Wallace, S Hillman, K Reinke, B Hally
Methods in Ecology and Evolution 8 (11), 1607-1616, 2017
752017
Development of a multi-spatial resolution approach to the surveillance of active fire lines using Himawari-8
CH Wickramasinghe, S Jones, K Reinke, L Wallace
Remote Sensing 8 (11), 932, 2016
682016
Interactions between landcover pattern and geospatial processing methods: Effects on landscape metrics and classification accuracy
AM Lechner, KJ Reinke, Y Wang, L Bastin
Ecological Complexity 15, 71-82, 2013
642013
Integrating vegetation field surveys with remotely sensed data
K Reinke, S Jones
Ecological Management & Restoration 7, S18-S23, 2006
442006
Advances in active fire detection using a multi-temporal method for next-generation geostationary satellite data
B Hally, L Wallace, K Reinke, S Jones, A Skidmore
International journal of digital earth, 2018
402018
Predicting wildfire burns from big geodata using deep learning
JR Bergado, C Persello, K Reinke, A Stein
Safety science 140, 105276, 2021
372021
A comparison of terrestrial and UAS sensors for measuring fuel hazard in a dry sclerophyll forest
S Hillman, L Wallace, A Lucieer, K Reinke, D Turner, S Jones
International Journal of Applied Earth Observation and Geoinformation 95, 102261, 2021
332021
A theory for communicating uncertainty in spatial databases
KJ Reinke, GJ Hunter
Spatial data quality, 77-101, 2002
312002
An assessment of pre-and post fire near surface fuel hazard in an Australian dry sclerophyll forest using point cloud data captured using a terrestrial laser scanner
L Wallace, V Gupta, K Reinke, S Jones
Remote Sensing 8 (8), 679, 2016
282016
An optimisation approach for fuel treatment planning to break the connectivity of high-risk regions
R Rachmawati, M Ozlen, KJ Reinke, JW Hearne
Forest Ecology and Management 368, 94-104, 2016
272016
Assessing Metrics for Estimating Fire Induced Change in the Forest Understorey Structure Using Terrestrial Laser Scanning.
V Gupta, KJ Reinke, SD Jones, L Wallace, L Holden
Remote Sensing 7, 8180-8201, 2015
262015
Intercomparison of Himawari-8 AHI-FSA with MODIS and VIIRS active fire products
C Wickramasinghe, L Wallace, K Reinke, S Jones
International Journal of Digital Earth, 2018
252018
A comparison of high and low gain DMSP/OLS satellite images for the study of socio-economic metrics
K Roychowdhury, SD Jones, C Arrowsmith, K Reinke
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2010
252010
Investigating surface and near-surface bushfire fuel attributes: A comparison between visual assessments and image-based point clouds
C Spits, L Wallace, K Reinke
Sensors 17 (4), 910, 2017
242017
Assessment of the utility of the advanced Himawari imager to detect active fire over Australia
B Hally, L Wallace, K Reinke, S Jones
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016
242016
High-resolution estimates of fire severity—An evaluation of UAS image and LiDAR mapping approaches on a sedgeland forest boundary in Tasmania, Australia
S Hillman, B Hally, L Wallace, D Turner, A Lucieer, K Reinke, S Jones
Fire 4 (1), 14, 2021
232021
Innovations in remote sensing and photogrammetry
S Jones, K Reinke
Springer Science & Business Media, 2009
222009
An early exploration of the use of the Microsoft Azure Kinect for estimation of urban tree Diameter at Breast Height
J McGlade, L Wallace, B Hally, A White, K Reinke, S Jones
Remote Sensing Letters 11 (11), 963-972, 2020
212020
A method for validating the structural completeness of understory vegetation models captured with 3D remote sensing
S Hillman, L Wallace, K Reinke, B Hally, S Jones, DS Saldias
Remote Sensing 11 (18), 2118, 2019
212019
A model for solving the prescribed burn planning problem
R Rachmawati, M Ozlen, K Reinke, J Hearne
SpringerPlus 4 (1), 630, 2015
212015
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Articles 1–20