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Matthew McCabe

BE, PhD Newcastle

Senior Lecturer

Contact Details

Office Location:
CE 304 Civil Engineering Building (H20)
Phone: +61 2 9385 5072
Fax: + 61 2 9385 6139
Email: mmccaberoberto@unsw.edujlo.au

Teaching Areas

Remote Sensing
Water Resources Engineering
Catchment and Water Resource Modeling

Research Areas

My primary research interest is in applying remote sensing approaches to improve knowledge of the Earth System, focusing predominantly on water and energy cycles at the land surface, but broadly interested in all applications encompassing terrestrial, atmospheric and oceanic components. Much of this research has involved estimating surface fluxes and states for hydrometeorological applications, but varies widely to include understanding the influence of aerosols on water and climate systems to estimating melt-area dynamics over the Greenland ice-sheet.

The ultimate aim of my research is to move towards an effective use and integration of observations to improve our ability to understand Earth processes. As a result I am active in field estimation of hydrometeorological variables, evaluation/validation of remote sensing data, and also techniques to incorporate diverse observations into modeling frameworks.

Prior to this appointment, I worked at Los Alamos National Laboratory where I was involved in research related to hyperspectral, aerosol and cryospheric remote sensing and Princeton University where I pursued research in hydrometeorological remote sensing, land surface modeling and observation/modeling validation studies.

Selected Publications

Kalma, J.D., McVicar, T.R. and McCabe, M.F. (2008) “Estimating land surface evaporation: a review of methods using remotely sensed surface temperature data” Surveys in Geophysics (accepted).

McCabe, M. F., Balick, L. K., Theiler, J., Gillespie, A. R. and Mushkin, A. (2008). “Linear mixing in thermal IR temperature retrieval.”Int. J. Rem. Sens. (in press, accepted 29-Apr-2007)

McCabe, M. F., Wood, E. F., Wójcik, R., Pan, M., Sheffield, J., Su, H. and Gao,H. (2008). “Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies.” Remote. Sens. Environ. 112(2): 430-444, doi:10.1016/j.rse.2007.03.027

Pan, M., Wood, E. F., Wójcik R. and McCabe, M. F. (2008). "Estimation of the regional terrestrial water cycle using multi-sensor remote sensing observations and data assimilation." Rem. Sens. Environ. 112(4):1282-1294 doi:10.1016/j.rse.2007.02.039.

Balick, L. K., Clodius, W., Jeffery, C. A., Theiler, J., McCabe, M. F., Gillespie, A. R., Mushkin, A. and Danilina, I. (2007). "Model and measurements of linear mixing in thermal IR ground leaving radiance spectra" in Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII, edited by M. Ehlers, U. Michel, Proc. of SPIE Vol. 6749, 674914 doi: 10.1117/12.738102, pp.12

Chylek. P., McCabe, M. F., Dubey, M. K. and Dozier, J. (2007). “Remote sensing of Greenland ice sheet using multispectral near infrared and visible radiances”J. Geophys. Res. 112, D24S20, doi:10.1029/2007JD008742.

Manfreda, S., McCabe, M. F., Wood, E. F., Fiorentino, M. and Rodriguez-Iturbe, I. (2007). “Scaling characteristics of spatial patterns of soil moisture from distributed modelling.”; Adv. Water Resources 30(10), pp. 2145-2150.

Mushkin, A., Danilina, I., Gillespie, A. R., Balick, L. K., and McCabe, M. F., (2007). "Roughness effects on thermal-infrared emissivities estimated from remotely sensed images" in Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII, edited by M. Ehlers, U. Michel, Proc. of SPIE Vol. 6749, 67492V doi: 10.1117/12.738125, pp.10.

Gao, H., Wood, E. F., Drusch, M. and McCabe, M. F. (2007). “Copula derived observation operators for assimilating TMI and AMSR-E soil moisture into land surface models.”; J. Hydromet. 8(3): 413-429.

Su, H., Wood, E. F., McCabe, M. F. and Su, Z. (2007). “Evaluation of remotely sensed evapotranspiration over the CEOP EOP-1 reference sites.”" J. Met. Soc. Japan. 85A, 439-459

Balick, L. K., Gillespie, A. R. , McCabe, M. F. and Mushkin, A. (2006). “Forward modeling of linear mixing in thermal IR ground leaving radiance spectra” in Electro-Optical Remote Sensing II, edited by G.W. Kamerman, D.V. Willetts and O.K. Steinvall, Proc. of SPIE Vol. 6396, 63960H doi: 10.1117/12.683816, pp.11.

McCabe, M. F. and Wood, E. F. (2006). “Scale influences on the remote estimation of evapotranspiration using multiple satellite sensors.” Remote Sens. Environ 105(4), 271-285.

McCabe, M. F., Franks, S. W. and Kalma, J. D. (2005). “Calibration of a land surface model using multiple data sets.” J. Hydrol., 302(1-4): 209-222.

McCabe, M. F., Gao, H. and Wood, E. F. (2005). “An evaluation of AMSR-E derived soil moisture retrievals using ground based and airborne data during SMEX 02.”J. Hydrometeorology. 6(6): 864-877.

McCabe, M. F., Wood, E. F. and Gao, H. (2005). “Initial soil moisture retrievals from AMSR-E: Large scale comparisons with SMEX02 field observations and rainfall patterns over Iowa.” Geophys. Res. Lett. 32, L06403, doi:10.1029/2004GL021222

McCabe, M. F., Kalma, J. D. and Franks, S. W. (2005). “Spatial and temporal patterns of land surface fluxes from remotely sensed surface temperatures within an uncertainty modeling framework.” Hydrol. Earth Sys. Sci. 9(5): 467-480.

Su, H., McCabe, M. F., Wood, E. F., Su, Z. and Prueger, J. H. (2005). “Modeling evapotranspiration during SMACEX02: comparing two approaches for local and regional scale prediction.” J. Hydrometeorology. 6(6): 910-922.

French, A. N., Jacob, F., Anderson, M. C., Kustas, W. P., Timmermans, W., Gieske, A., Su, B., Su, H., McCabe, M. F., Li, F., Prueger, J. H. and Brusnell, N. (2005). “Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA).”Rem. Sens. Environ. 99(1-2): 55-65.

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Professional Services

GEWEX Radiation Panel (http://www.gewex.org/)
Adjunct Senior Lecturer, UNSW Climate Change Research Centre
Member American Geophysical Union (AGU)
Member International Association of Hydrological Sciences (IAHS)