Tim R. McVicar
Tim R. McVicar
CSIRO Land and Water
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TitelCiteret afÅr
Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data
JD Kalma, TR McVicar, MF McCabe
Surveys in Geophysics 29 (4-5), 421-469, 2008
Global review and synthesis of trends in observed terrestrial near-surface wind speeds: Implications for evaporation
TR McVicar, ML Roderick, RJ Donohue, LT Li, TG Van Niel, A Thomas, ...
Journal of Hydrology 416, 182-205, 2012
Preprocessing EO-1 Hyperion hyperspectral data to support the application of agricultural indexes
B Datt, TR McVicar, TG Van Niel, DLB Jupp, JS Pearlman
IEEE Transactions on Geoscience and Remote Sensing 41 (6), 1246-1259, 2003
On the importance of including vegetation dynamics in Budyko? s hydrological model
RJ Donohue, ML Roderick, TR McVicar
Hydrology and Earth System Sciences Discussions 3 (4), 1517-1551, 2006
Wind speed climatology and trends for Australia, 1975–2006: Capturing the stilling phenomenon and comparison with near‐surface reanalysis output
TR McVicar, TG Van Niel, LT Li, ML Roderick, DP Rayner, L Ricciardulli, ...
Geophysical Research Letters 35 (20), 2008
Assessing the ability of potential evaporation formulations to capture the dynamics in evaporative demand within a changing climate
RJ Donohue, TR McVicar, ML Roderick
Journal of Hydrology 386 (1-4), 186-197, 2010
Estimating actual, potential, reference crop and pan evaporation using standard meteorological data: a pragmatic synthesis
TA McMahon, MC Peel, L Lowe, R Srikanthan, TR McVicar
Hydrology and Earth System Sciences 17 (4), 1331-1363, 2013
Spatially distributing monthly reference evapotranspiration and pan evaporation considering topographic influences
TR McVicar, TG Van Niel, LT Li, MF Hutchinson, XM Mu, ZH Liu
Journal of hydrology 338 (3-4), 196-220, 2007
The current and potential operational uses of remote sensing to aid decisions on drought exceptional circumstances in Australia: a review
TR McVicar, DLB Jupp
Agricultural systems 57 (3), 399-468, 1998
Impact of CO2 fertilization on maximum foliage cover across the globe's warm, arid environments
RJ Donohue, ML Roderick, TR McVicar, GD Farquhar
Geophysical Research Letters 40 (12), 3031-3035, 2013
Climate‐related trends in Australian vegetation cover as inferred from satellite observations, 1981–2006
RJ Donohue, TIMR McVICAR, ML Roderick
Global Change Biology 15 (4), 1025-1039, 2009
Prediction of crop yield, water consumption and water use efficiency with a SVAT-crop growth model using remotely sensed data on the North China Plain
X Mo, S Liu, Z Lin, Y Xu, Y Xiang, TR McVicar
Ecological Modelling 183 (2-3), 301-322, 2005
Decomposition of vegetation cover into woody and herbaceous components using AVHRR NDVI time series
H Lu, MR Raupach, TR McVicar, DJ Barrett
Remote Sensing of Environment 86 (1), 1-18, 2003
Global evaluation of four AVHRR–NDVI data sets: Intercomparison and assessment against Landsat imagery
HE Beck, TR McVicar, AIJM van Dijk, J Schellekens, RAM de Jeu, ...
Remote Sensing of Environment 115 (10), 2547-2563, 2011
Developing a decision support tool for China's re-vegetation program: Simulating regional impacts of afforestation on average annual streamflow in the Loess Plateau
TR McVicar, LT Li, TG Van Niel, L Zhang, R Li, QK Yang, XP Zhang, ...
Forest Ecology and Management 251 (1-2), 65-81, 2007
Supplement: State of the Climate in 2013 Supplemental Figures
J Blunden, DS Arndt
Bulletin of the American Meteorological Society 95 (7), ES1-ES22, 2014
Determining temporal windows for crop discrimination with remote sensing: a case study in south-eastern Australia
TG Van Niel, TR McVicar
Computers and Electronics in Agriculture 45 (1-3), 91-108, 2004
Roots, storms and soil pores: Incorporating key ecohydrological processes into Budyko’s hydrological model
RJ Donohue, ML Roderick, TR McVicar
Journal of Hydrology 436, 35-50, 2012
Analysis of the impact of conservation measures on stream flow regime in catchments of the Loess Plateau, China
X Mu, L Zhang, TR McVicar, B Chille, P Gau
Hydrological Processes: An International Journal 21 (16), 2124-2134, 2007
On the relationship between training sample size and data dimensionality: Monte Carlo analysis of broadband multi-temporal classification
TG Van Niel, TR McVicar, B Datt
Remote Sensing of Environment 98 (4), 468-480, 2005
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